VOLARE: visual analysis of disease-associated microbiome-immune system interplay

Relationships between specific microbes and proper immune system development, composition, and function have been reported in a number of studies. However, researchers have discovered only a fraction of the likely relationships. "Omic" methodologies such as 16S ribosomal RNA (rRNA) sequenc...

Full description

Saved in:
Bibliographic Details
Published inBMC bioinformatics Vol. 20; no. 1; pp. 432 - 13
Main Authors Siebert, Janet C., Neff, Charles Preston, Schneider, Jennifer M., Regner, Emilie H., Ohri, Neha, Kuhn, Kristine A., Palmer, Brent E., Lozupone, Catherine A., Görg, Carsten
Format Journal Article
LanguageEnglish
Published England BioMed Central Ltd 20.08.2019
BioMed Central
BMC
Subjects
16S
Analysis
Applications programs
Arthritis
Bacteroides - metabolism
Cohort Studies
CyTOF
Cytokine
Cytokines
Cytokines - metabolism
Cytometry
Data visualization
Disease
Experimentation
Gastrointestinal diseases
Gene sequencing
Health aspects
HIV
HIV Infections - immunology
HIV Infections - microbiology
Human immunodeficiency virus
Humans
Immune system
Immune System - metabolism
Immunodeficiency
Inflammatory bowel diseases
Inflammatory Bowel Diseases - microbiology
Inflammatory diseases
Intestine
Microbiological research
Microbiome
Microbiomes
Microbiota
Microorganisms
Multi-omic
Regression analysis
Rheumatic diseases
Ribosomal RNA
RNA
rRNA 16S
Software
Spondylarthritis - microbiology
Subject specialists
Technology application
Viruses
Visualization (Computer)
United States
CyTOF
Data visualization
Multi-omic
16S
Cytokine
Microbiome
Online AccessGet full text

Cover

Abstract Relationships between specific microbes and proper immune system development, composition, and function have been reported in a number of studies. However, researchers have discovered only a fraction of the likely relationships. "Omic" methodologies such as 16S ribosomal RNA (rRNA) sequencing and time-of-flight mass cytometry (CyTOF) immunophenotyping generate data that support generation of hypotheses, with the potential to identify additional relationships at a level of granularity ripe for further experimentation. Pairwise linear regressions between microbial and host immune features provide one approach for quantifying relationships between "omes", and the differences in these relationships across study cohorts or arms. This approach yields a top table of candidate results. However, the top table alone lacks the detail that domain experts such as microbiologists and immunologists need to vet candidate results for follow-up experiments. To support this vetting, we developed VOLARE (Visualization Of LineAr Regression Elements), a web application that integrates a searchable top table, small in-line graphs illustrating the fitted models, a network summarizing the top table, and on-demand detailed regression plots showing full sample-level detail. We applied VOLARE to three case studies-microbiome:cytokine data from fecal samples in human immunodeficiency virus (HIV), microbiome:cytokine data in inflammatory bowel disease and spondyloarthritis, and microbiome:immune cell data from gut biopsies in HIV. We present both patient-specific phenomena and relationships that differ by disease state. We also analyzed interaction data from system logs to characterize usage scenarios. This log analysis revealed that users frequently generated detailed regression plots, suggesting that this detail aids the vetting of results. Systematically integrating microbe:immune cell readouts through pairwise linear regressions and presenting the top table in an interactive environment supports the vetting of results for scientific relevance. VOLARE allows domain experts to control the analysis of their results, screening dozens of candidate relationships with ease. This interactive environment transcends the limitations of a static top table.
AbstractList Abstract Background Relationships between specific microbes and proper immune system development, composition, and function have been reported in a number of studies. However, researchers have discovered only a fraction of the likely relationships. “Omic” methodologies such as 16S ribosomal RNA (rRNA) sequencing and time-of-flight mass cytometry (CyTOF) immunophenotyping generate data that support generation of hypotheses, with the potential to identify additional relationships at a level of granularity ripe for further experimentation. Pairwise linear regressions between microbial and host immune features provide one approach for quantifying relationships between “omes”, and the differences in these relationships across study cohorts or arms. This approach yields a top table of candidate results. However, the top table alone lacks the detail that domain experts such as microbiologists and immunologists need to vet candidate results for follow-up experiments. Results To support this vetting, we developed VOLARE (Visualization Of LineAr Regression Elements), a web application that integrates a searchable top table, small in-line graphs illustrating the fitted models, a network summarizing the top table, and on-demand detailed regression plots showing full sample-level detail. We applied VOLARE to three case studies—microbiome:cytokine data from fecal samples in human immunodeficiency virus (HIV), microbiome:cytokine data in inflammatory bowel disease and spondyloarthritis, and microbiome:immune cell data from gut biopsies in HIV. We present both patient-specific phenomena and relationships that differ by disease state. We also analyzed interaction data from system logs to characterize usage scenarios. This log analysis revealed that users frequently generated detailed regression plots, suggesting that this detail aids the vetting of results. Conclusions Systematically integrating microbe:immune cell readouts through pairwise linear regressions and presenting the top table in an interactive environment supports the vetting of results for scientific relevance. VOLARE allows domain experts to control the analysis of their results, screening dozens of candidate relationships with ease. This interactive environment transcends the limitations of a static top table.
Relationships between specific microbes and proper immune system development, composition, and function have been reported in a number of studies. However, researchers have discovered only a fraction of the likely relationships. "Omic" methodologies such as 16S ribosomal RNA (rRNA) sequencing and time-of-flight mass cytometry (CyTOF) immunophenotyping generate data that support generation of hypotheses, with the potential to identify additional relationships at a level of granularity ripe for further experimentation. Pairwise linear regressions between microbial and host immune features provide one approach for quantifying relationships between "omes", and the differences in these relationships across study cohorts or arms. This approach yields a top table of candidate results. However, the top table alone lacks the detail that domain experts such as microbiologists and immunologists need to vet candidate results for follow-up experiments. To support this vetting, we developed VOLARE (Visualization Of LineAr Regression Elements), a web application that integrates a searchable top table, small in-line graphs illustrating the fitted models, a network summarizing the top table, and on-demand detailed regression plots showing full sample-level detail. We applied VOLARE to three case studies--microbiome:cytokine data from fecal samples in human immunodeficiency virus (HIV), microbiome:cytokine data in inflammatory bowel disease and spondyloarthritis, and microbiome:immune cell data from gut biopsies in HIV. We present both patient-specific phenomena and relationships that differ by disease state. We also analyzed interaction data from system logs to characterize usage scenarios. This log analysis revealed that users frequently generated detailed regression plots, suggesting that this detail aids the vetting of results. Systematically integrating microbe:immune cell readouts through pairwise linear regressions and presenting the top table in an interactive environment supports the vetting of results for scientific relevance. VOLARE allows domain experts to control the analysis of their results, screening dozens of candidate relationships with ease. This interactive environment transcends the limitations of a static top table.
Relationships between specific microbes and proper immune system development, composition, and function have been reported in a number of studies. However, researchers have discovered only a fraction of the likely relationships. "Omic" methodologies such as 16S ribosomal RNA (rRNA) sequencing and time-of-flight mass cytometry (CyTOF) immunophenotyping generate data that support generation of hypotheses, with the potential to identify additional relationships at a level of granularity ripe for further experimentation. Pairwise linear regressions between microbial and host immune features provide one approach for quantifying relationships between "omes", and the differences in these relationships across study cohorts or arms. This approach yields a top table of candidate results. However, the top table alone lacks the detail that domain experts such as microbiologists and immunologists need to vet candidate results for follow-up experiments.BACKGROUNDRelationships between specific microbes and proper immune system development, composition, and function have been reported in a number of studies. However, researchers have discovered only a fraction of the likely relationships. "Omic" methodologies such as 16S ribosomal RNA (rRNA) sequencing and time-of-flight mass cytometry (CyTOF) immunophenotyping generate data that support generation of hypotheses, with the potential to identify additional relationships at a level of granularity ripe for further experimentation. Pairwise linear regressions between microbial and host immune features provide one approach for quantifying relationships between "omes", and the differences in these relationships across study cohorts or arms. This approach yields a top table of candidate results. However, the top table alone lacks the detail that domain experts such as microbiologists and immunologists need to vet candidate results for follow-up experiments.To support this vetting, we developed VOLARE (Visualization Of LineAr Regression Elements), a web application that integrates a searchable top table, small in-line graphs illustrating the fitted models, a network summarizing the top table, and on-demand detailed regression plots showing full sample-level detail. We applied VOLARE to three case studies-microbiome:cytokine data from fecal samples in human immunodeficiency virus (HIV), microbiome:cytokine data in inflammatory bowel disease and spondyloarthritis, and microbiome:immune cell data from gut biopsies in HIV. We present both patient-specific phenomena and relationships that differ by disease state. We also analyzed interaction data from system logs to characterize usage scenarios. This log analysis revealed that users frequently generated detailed regression plots, suggesting that this detail aids the vetting of results.RESULTSTo support this vetting, we developed VOLARE (Visualization Of LineAr Regression Elements), a web application that integrates a searchable top table, small in-line graphs illustrating the fitted models, a network summarizing the top table, and on-demand detailed regression plots showing full sample-level detail. We applied VOLARE to three case studies-microbiome:cytokine data from fecal samples in human immunodeficiency virus (HIV), microbiome:cytokine data in inflammatory bowel disease and spondyloarthritis, and microbiome:immune cell data from gut biopsies in HIV. We present both patient-specific phenomena and relationships that differ by disease state. We also analyzed interaction data from system logs to characterize usage scenarios. This log analysis revealed that users frequently generated detailed regression plots, suggesting that this detail aids the vetting of results.Systematically integrating microbe:immune cell readouts through pairwise linear regressions and presenting the top table in an interactive environment supports the vetting of results for scientific relevance. VOLARE allows domain experts to control the analysis of their results, screening dozens of candidate relationships with ease. This interactive environment transcends the limitations of a static top table.CONCLUSIONSSystematically integrating microbe:immune cell readouts through pairwise linear regressions and presenting the top table in an interactive environment supports the vetting of results for scientific relevance. VOLARE allows domain experts to control the analysis of their results, screening dozens of candidate relationships with ease. This interactive environment transcends the limitations of a static top table.
Background Relationships between specific microbes and proper immune system development, composition, and function have been reported in a number of studies. However, researchers have discovered only a fraction of the likely relationships. "Omic" methodologies such as 16S ribosomal RNA (rRNA) sequencing and time-of-flight mass cytometry (CyTOF) immunophenotyping generate data that support generation of hypotheses, with the potential to identify additional relationships at a level of granularity ripe for further experimentation. Pairwise linear regressions between microbial and host immune features provide one approach for quantifying relationships between "omes", and the differences in these relationships across study cohorts or arms. This approach yields a top table of candidate results. However, the top table alone lacks the detail that domain experts such as microbiologists and immunologists need to vet candidate results for follow-up experiments. Results To support this vetting, we developed VOLARE (Visualization Of LineAr Regression Elements), a web application that integrates a searchable top table, small in-line graphs illustrating the fitted models, a network summarizing the top table, and on-demand detailed regression plots showing full sample-level detail. We applied VOLARE to three case studies--microbiome:cytokine data from fecal samples in human immunodeficiency virus (HIV), microbiome:cytokine data in inflammatory bowel disease and spondyloarthritis, and microbiome:immune cell data from gut biopsies in HIV. We present both patient-specific phenomena and relationships that differ by disease state. We also analyzed interaction data from system logs to characterize usage scenarios. This log analysis revealed that users frequently generated detailed regression plots, suggesting that this detail aids the vetting of results. Conclusions Systematically integrating microbe:immune cell readouts through pairwise linear regressions and presenting the top table in an interactive environment supports the vetting of results for scientific relevance. VOLARE allows domain experts to control the analysis of their results, screening dozens of candidate relationships with ease. This interactive environment transcends the limitations of a static top table. Keywords: Multi-omic, CyTOF, Cytokine, 16S, Microbiome, Data visualization
Relationships between specific microbes and proper immune system development, composition, and function have been reported in a number of studies. However, researchers have discovered only a fraction of the likely relationships. "Omic" methodologies such as 16S ribosomal RNA (rRNA) sequencing and time-of-flight mass cytometry (CyTOF) immunophenotyping generate data that support generation of hypotheses, with the potential to identify additional relationships at a level of granularity ripe for further experimentation. Pairwise linear regressions between microbial and host immune features provide one approach for quantifying relationships between "omes", and the differences in these relationships across study cohorts or arms. This approach yields a top table of candidate results. However, the top table alone lacks the detail that domain experts such as microbiologists and immunologists need to vet candidate results for follow-up experiments. To support this vetting, we developed VOLARE (Visualization Of LineAr Regression Elements), a web application that integrates a searchable top table, small in-line graphs illustrating the fitted models, a network summarizing the top table, and on-demand detailed regression plots showing full sample-level detail. We applied VOLARE to three case studies-microbiome:cytokine data from fecal samples in human immunodeficiency virus (HIV), microbiome:cytokine data in inflammatory bowel disease and spondyloarthritis, and microbiome:immune cell data from gut biopsies in HIV. We present both patient-specific phenomena and relationships that differ by disease state. We also analyzed interaction data from system logs to characterize usage scenarios. This log analysis revealed that users frequently generated detailed regression plots, suggesting that this detail aids the vetting of results. Systematically integrating microbe:immune cell readouts through pairwise linear regressions and presenting the top table in an interactive environment supports the vetting of results for scientific relevance. VOLARE allows domain experts to control the analysis of their results, screening dozens of candidate relationships with ease. This interactive environment transcends the limitations of a static top table.
Background Relationships between specific microbes and proper immune system development, composition, and function have been reported in a number of studies. However, researchers have discovered only a fraction of the likely relationships. “Omic” methodologies such as 16S ribosomal RNA (rRNA) sequencing and time-of-flight mass cytometry (CyTOF) immunophenotyping generate data that support generation of hypotheses, with the potential to identify additional relationships at a level of granularity ripe for further experimentation. Pairwise linear regressions between microbial and host immune features provide one approach for quantifying relationships between “omes”, and the differences in these relationships across study cohorts or arms. This approach yields a top table of candidate results. However, the top table alone lacks the detail that domain experts such as microbiologists and immunologists need to vet candidate results for follow-up experiments. Results To support this vetting, we developed VOLARE (Visualization Of LineAr Regression Elements), a web application that integrates a searchable top table, small in-line graphs illustrating the fitted models, a network summarizing the top table, and on-demand detailed regression plots showing full sample-level detail. We applied VOLARE to three case studies—microbiome:cytokine data from fecal samples in human immunodeficiency virus (HIV), microbiome:cytokine data in inflammatory bowel disease and spondyloarthritis, and microbiome:immune cell data from gut biopsies in HIV. We present both patient-specific phenomena and relationships that differ by disease state. We also analyzed interaction data from system logs to characterize usage scenarios. This log analysis revealed that users frequently generated detailed regression plots, suggesting that this detail aids the vetting of results. Conclusions Systematically integrating microbe:immune cell readouts through pairwise linear regressions and presenting the top table in an interactive environment supports the vetting of results for scientific relevance. VOLARE allows domain experts to control the analysis of their results, screening dozens of candidate relationships with ease. This interactive environment transcends the limitations of a static top table.
ArticleNumber 432
Audience Academic
Author Regner, Emilie H.
Schneider, Jennifer M.
Neff, Charles Preston
Lozupone, Catherine A.
Siebert, Janet C.
Görg, Carsten
Ohri, Neha
Kuhn, Kristine A.
Palmer, Brent E.
Author_xml – sequence: 1
  givenname: Janet C.
  orcidid: 0000-0001-8505-9359
  surname: Siebert
  fullname: Siebert, Janet C.
– sequence: 2
  givenname: Charles Preston
  surname: Neff
  fullname: Neff, Charles Preston
– sequence: 3
  givenname: Jennifer M.
  surname: Schneider
  fullname: Schneider, Jennifer M.
– sequence: 4
  givenname: Emilie H.
  surname: Regner
  fullname: Regner, Emilie H.
– sequence: 5
  givenname: Neha
  surname: Ohri
  fullname: Ohri, Neha
– sequence: 6
  givenname: Kristine A.
  surname: Kuhn
  fullname: Kuhn, Kristine A.
– sequence: 7
  givenname: Brent E.
  surname: Palmer
  fullname: Palmer, Brent E.
– sequence: 8
  givenname: Catherine A.
  surname: Lozupone
  fullname: Lozupone, Catherine A.
– sequence: 9
  givenname: Carsten
  surname: Görg
  fullname: Görg, Carsten
BackLink https://www.ncbi.nlm.nih.gov/pubmed/31429723$$D View this record in MEDLINE/PubMed
BookMark eNp1kk1v1DAQhiNURD_gB3BBkbjAIcVjO3HMAWlVFVhppaLycbUmyXjxKonbOKnYf4_Dtmi3Avlga_zMa83r9zQ56n1PSfIS2DlAWbwLwMtcZwx0JhiHjD1JTkAqyDiw_GjvfJychrBhDFTJ8mfJsQDJteLiJPny42q1uL58n965MGGbYo_tNriQeps2LhAGyjAEXzscqUk7Vw--cr6jzHXd1FMatmGkLnX9SMNNi9vnyVOLbaAX9_tZ8v3j5beLz9nq6tPyYrHK6lzLMRMy51RxwSUTAmthC60BsKBCVDnUTaGUsrrkEixIa5lmVBWal9paGxkSZ8lyp9t43JibwXU4bI1HZ_4U_LA2OIyubskQQ91Q2WhJSpaakDTmmqqGlCiIZq0PO62bqeqoqakfB2wPRA9vevfTrP2dKRQDABkF3twLDP52ojCazoWa2hZ78lMwnJcATOqSRfT1I3TjpyG6PlOaKy0U7FFrjAO43vr4bj2LmkWuVVFwoUWkzv9BxdVQ_KiYFeti_aDh7UFDZEb6Na5xCsEsv14fsq_2TfnrxkN2IqB2QIxECANZU7sRR-dnj1xrgJk5pWaXUhNTauaUmnk6eNT5IP7_nt_Y1Oc6
CitedBy_id crossref_primary_10_1002_oby_23127
crossref_primary_10_1186_s12859_021_04016_8
crossref_primary_10_1186_s40168_023_01718_4
Cites_doi 10.1186/s12859-018-2085-6
10.1093/nar/gkv007
10.1126/science.aao3290
10.1186/s12977-016-0237-1
10.1128/mSystems.00107-17
10.1093/bioinformatics/bts655
10.1186/2047-217X-2-16
10.1128/AEM.01541-09
10.1053/j.gastro.2007.11.059
10.1186/s12859-015-0550-z
10.1038/nature07336
10.1016/j.jaci.2014.11.011
10.1186/s13075-018-1639-3
10.1093/nar/gkw1138
10.2217/imt-2018-0110
10.1109/TCBB.2016.2551745
10.1126/science.aan4236
10.1038/nbt.1991
10.1007/s12026-015-8775-5
10.1371/journal.pone.0133627
10.1073/pnas.1711235114
10.1038/nmeth.f.303
10.3386/w0173
10.1371/journal.pone.0061217
10.1080/19490976.2018.1491265
10.32614/RJ-2017-046
10.1038/nmeth.1436
10.1186/s13073-016-0299-7
10.1073/pnas.1408792111
10.1002/cpt.363
10.1371/journal.pcbi.1003531
10.1016/j.ebiom.2018.03.024
10.1128/mSystems.00130-17
10.4049/jimmunol.1500633
10.1016/j.chom.2013.08.006
10.1016/j.chom.2016.09.002
10.1126/science.aan3706
10.1201/b17511
10.1073/pnas.1102938108
10.1109/TVCG.2011.185
10.1016/B978-155860915-0/50046-9
10.1186/s40168-018-0580-7
10.12688/f1000research.9005.3
10.1093/bib/bbw114
ContentType Journal Article
Copyright COPYRIGHT 2019 BioMed Central Ltd.
2019. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
The Author(s). 2019
Copyright_xml – notice: COPYRIGHT 2019 BioMed Central Ltd.
– notice: 2019. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
– notice: The Author(s). 2019
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
ISR
3V.
7QO
7SC
7X7
7XB
88E
8AL
8AO
8FD
8FE
8FG
8FH
8FI
8FJ
8FK
ABUWG
AEUYN
AFKRA
ARAPS
AZQEC
BBNVY
BENPR
BGLVJ
BHPHI
CCPQU
DWQXO
FR3
FYUFA
GHDGH
GNUQQ
HCIFZ
JQ2
K7-
K9.
L7M
LK8
L~C
L~D
M0N
M0S
M1P
M7P
P5Z
P62
P64
PHGZM
PHGZT
PIMPY
PJZUB
PKEHL
PPXIY
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
Q9U
7X8
5PM
DOA
DOI 10.1186/s12859-019-3021-0
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
Gale In Context: Science
ProQuest Central (Corporate)
Biotechnology Research Abstracts
Computer and Information Systems Abstracts
ProQuest Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Medical Database (Alumni Edition)
Computing Database (Alumni Edition)
ProQuest Pharma Collection
Technology Research Database
ProQuest SciTech Collection
ProQuest Technology Collection
ProQuest Natural Science Collection
Hospital Premium Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest One Sustainability
ProQuest Central UK/Ireland
Advanced Technologies & Aerospace Collection
ProQuest Central Essentials
Biological Science Collection (ProQuest)
ProQuest Central
Technology Collection
Natural Science Collection
ProQuest One Community College
ProQuest Central
Engineering Research Database
Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Central Student
ProQuest SciTech Premium Collection
ProQuest Computer Science Collection
Computer Science Database
ProQuest Health & Medical Complete (Alumni)
Advanced Technologies Database with Aerospace
Biological Sciences
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
Computing Database
ProQuest Health & Medical Collection
Medical Database
Biological Sciences
Advanced Technologies & Aerospace Database
ProQuest Advanced Technologies & Aerospace Collection
Biotechnology and BioEngineering Abstracts
ProQuest Central Premium
ProQuest One Academic
Publicly Available Content Database
ProQuest Health & Medical Research Collection
ProQuest One Academic Middle East (New)
ProQuest One Health & Nursing
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
ProQuest Central Basic
MEDLINE - Academic
PubMed Central (Full Participant titles)
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
Publicly Available Content Database
Computer Science Database
ProQuest Central Student
ProQuest Advanced Technologies & Aerospace Collection
ProQuest Central Essentials
ProQuest Computer Science Collection
Computer and Information Systems Abstracts
SciTech Premium Collection
ProQuest Central China
ProQuest One Applied & Life Sciences
ProQuest One Sustainability
Health Research Premium Collection
Natural Science Collection
Health & Medical Research Collection
Biological Science Collection
ProQuest Central (New)
ProQuest Medical Library (Alumni)
Advanced Technologies & Aerospace Collection
ProQuest Biological Science Collection
ProQuest One Academic Eastern Edition
ProQuest Hospital Collection
ProQuest Technology Collection
Health Research Premium Collection (Alumni)
Biological Science Database
ProQuest Hospital Collection (Alumni)
Biotechnology and BioEngineering Abstracts
ProQuest Health & Medical Complete
ProQuest One Academic UKI Edition
Engineering Research Database
ProQuest One Academic
ProQuest One Academic (New)
Technology Collection
Technology Research Database
Computer and Information Systems Abstracts – Academic
ProQuest One Academic Middle East (New)
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
ProQuest One Community College
ProQuest One Health & Nursing
ProQuest Natural Science Collection
ProQuest Pharma Collection
ProQuest Central
ProQuest Health & Medical Research Collection
Biotechnology Research Abstracts
Health and Medicine Complete (Alumni Edition)
ProQuest Central Korea
Advanced Technologies Database with Aerospace
ProQuest Computing
ProQuest Central Basic
ProQuest Computing (Alumni Edition)
ProQuest SciTech Collection
Computer and Information Systems Abstracts Professional
Advanced Technologies & Aerospace Database
ProQuest Medical Library
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList

MEDLINE - Academic


MEDLINE
Publicly Available Content Database
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 3
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
– sequence: 4
  dbid: 8FG
  name: ProQuest Technology Collection
  url: https://search.proquest.com/technologycollection1
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Biology
EISSN 1471-2105
EndPage 13
ExternalDocumentID oai_doaj_org_article_e0a9de8d94e7489eae9a59ebde736eee
PMC6701114
A597662393
31429723
10_1186_s12859_019_3021_0
Genre Journal Article
GeographicLocations United States
GeographicLocations_xml – name: United States
GrantInformation_xml – fundername: NIDDK NIH HHS
  grantid: K08 DK107905
– fundername: NIAMS NIH HHS
  grantid: T32 AR007534
– fundername: NIH HHS
  grantid: DK108366
– fundername: NIH HHS
  grantid: LM008111
– fundername: NIDDK NIH HHS
  grantid: R01 DK108366
– fundername: NIDDK NIH HHS
  grantid: R01 DK104047
– fundername: NHLBI NIH HHS
  grantid: R01 HL138639
– fundername: NIH HHS
  grantid: T32 AR007534
– fundername: NIH HHS
  grantid: K08DK107905
– fundername: NIH HHS
  grantid: DK104047
– fundername: ;
  grantid: T32 AR007534; K08DK107905; DK108366; DK108366; LM008111; DK104047; DK104047
GroupedDBID ---
0R~
23N
2WC
53G
5VS
6J9
7X7
88E
8AO
8FE
8FG
8FH
8FI
8FJ
AAFWJ
AAJSJ
AAKPC
AASML
AAYXX
ABDBF
ABUWG
ACGFO
ACGFS
ACIHN
ACIWK
ACPRK
ACUHS
ADBBV
ADMLS
ADUKV
AEAQA
AENEX
AEUYN
AFKRA
AFPKN
AFRAH
AHBYD
AHMBA
AHYZX
ALIPV
ALMA_UNASSIGNED_HOLDINGS
AMKLP
AMTXH
AOIJS
ARAPS
AZQEC
BAPOH
BAWUL
BBNVY
BCNDV
BENPR
BFQNJ
BGLVJ
BHPHI
BMC
BPHCQ
BVXVI
C6C
CCPQU
CITATION
CS3
DIK
DU5
DWQXO
E3Z
EAD
EAP
EAS
EBD
EBLON
EBS
EMB
EMK
EMOBN
ESX
F5P
FYUFA
GNUQQ
GROUPED_DOAJ
GX1
HCIFZ
HMCUK
HYE
IAO
ICD
IHR
INH
INR
ISR
ITC
K6V
K7-
KQ8
LK8
M1P
M48
M7P
MK~
ML0
M~E
O5R
O5S
OK1
OVT
P2P
P62
PGMZT
PHGZM
PHGZT
PIMPY
PQQKQ
PROAC
PSQYO
RBZ
RNS
ROL
RPM
RSV
SBL
SOJ
SV3
TR2
TUS
UKHRP
W2D
WOQ
WOW
XH6
XSB
-A0
3V.
ACRMQ
ADINQ
C24
CGR
CUY
CVF
ECM
EIF
M0N
NPM
PMFND
7QO
7SC
7XB
8AL
8FD
8FK
EJD
FR3
JQ2
K9.
L7M
L~C
L~D
P64
PJZUB
PKEHL
PPXIY
PQEST
PQGLB
PQUKI
PRINS
Q9U
7X8
5PM
PUEGO
ID FETCH-LOGICAL-c594t-3452eb2324033ac3f69911a6e63b51cd6777f98241f14ff090eb69289fffe63e3
IEDL.DBID M48
ISSN 1471-2105
IngestDate Wed Aug 27 01:30:00 EDT 2025
Thu Aug 21 17:56:17 EDT 2025
Thu Jul 10 18:18:49 EDT 2025
Fri Jul 25 09:18:39 EDT 2025
Tue Jun 17 21:22:12 EDT 2025
Tue Jun 10 20:17:50 EDT 2025
Fri Jun 27 04:24:50 EDT 2025
Wed Feb 19 02:27:52 EST 2025
Tue Jul 01 03:38:28 EDT 2025
Thu Apr 24 23:03:39 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Keywords CyTOF
Data visualization
Multi-omic
16S
Cytokine
Microbiome
Language English
License Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c594t-3452eb2324033ac3f69911a6e63b51cd6777f98241f14ff090eb69289fffe63e3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ORCID 0000-0001-8505-9359
OpenAccessLink https://doaj.org/article/e0a9de8d94e7489eae9a59ebde736eee
PMID 31429723
PQID 2292793710
PQPubID 44065
PageCount 13
ParticipantIDs doaj_primary_oai_doaj_org_article_e0a9de8d94e7489eae9a59ebde736eee
pubmedcentral_primary_oai_pubmedcentral_nih_gov_6701114
proquest_miscellaneous_2281104980
proquest_journals_2292793710
gale_infotracmisc_A597662393
gale_infotracacademiconefile_A597662393
gale_incontextgauss_ISR_A597662393
pubmed_primary_31429723
crossref_citationtrail_10_1186_s12859_019_3021_0
crossref_primary_10_1186_s12859_019_3021_0
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2019-08-20
PublicationDateYYYYMMDD 2019-08-20
PublicationDate_xml – month: 08
  year: 2019
  text: 2019-08-20
  day: 20
PublicationDecade 2010
PublicationPlace England
PublicationPlace_xml – name: England
– name: London
PublicationTitle BMC bioinformatics
PublicationTitleAlternate BMC Bioinformatics
PublicationYear 2019
Publisher BioMed Central Ltd
BioMed Central
BMC
Publisher_xml – name: BioMed Central Ltd
– name: BioMed Central
– name: BMC
References CP Neff (3021_CR10) 2016; 20
JG Caporaso (3021_CR37) 2010; 7
AJS Armstrong (3021_CR22) 2018; 6
AL Goodman (3021_CR34) 2011; 108
C Manzoni (3021_CR8) 2018; 19
Y Li (3021_CR6) 2018; 19
H Mi (3021_CR46) 2017; 45
RB Sartor (3021_CR11) 2008; 134
RV Bruggner (3021_CR41) 2014; 111
ME Ritchie (3021_CR23) 2015; 43
C Chester (3021_CR43) 2015; 195
CC Whiting (3021_CR4) 2015; 10
W Wang (3021_CR5) 2013; 29
PD Schloss (3021_CR39) 2009; 75
EH Regner (3021_CR30) 2018; 20
PJ McMurdie (3021_CR40) 2013; 8
3021_CR33
P Qiu (3021_CR42) 2011; 29
L Wen (3021_CR12) 2008; 455
V Matson (3021_CR19) 2018; 359
C Vehlow (3021_CR47) 2015; 16
NP Manes (3021_CR2) 2017; 2
CA Lozupone (3021_CR16) 2013; 14
N Gehlenborg (3021_CR45) 2010; 7
YJ Huang (3021_CR13) 2015; 135
CW Law (3021_CR24) 2018; 5
J Chen (3021_CR15) 2016; 8
SX Li (3021_CR17) 2016; 99
JK Siddiqui (3021_CR21) 2018; 19
SM Gonzalez (3021_CR32) 2016; 64
T Munzner (3021_CR28) 2014
B Shneiderman (3021_CR29) 2003
ER Tufte (3021_CR27) 2001
E Cekanaviciute (3021_CR14) 2017; 114
Patrick Breheny (3021_CR44) 2017; 9
G Francesco (3021_CR3) 2016; 41
M Bostock (3021_CR25) 2011; 17
SM Dillon (3021_CR36) 2016; 13
B Routy (3021_CR18) 2018; 359
M Vital (3021_CR1) 2017; 2
V Gopalakrishnan (3021_CR9) 2018; 359
Y Vázquez-Baeza (3021_CR38) 2013; 2
3021_CR20
T Ito (3021_CR35) 2019; 10
CP Neff (3021_CR31) 2018; 30
PJ McMurdie (3021_CR48) 2014; 10
Y Zhang (3021_CR7) 2016; 13
3021_CR26
References_xml – volume: 19
  start-page: 81
  issue: 1
  year: 2018
  ident: 3021_CR21
  publication-title: BMC Bioinformatics
  doi: 10.1186/s12859-018-2085-6
– volume: 41
  start-page: 136
  issue: 2
  year: 2016
  ident: 3021_CR3
  publication-title: Genet Epidemiol
– volume: 43
  start-page: e47
  issue: 7
  year: 2015
  ident: 3021_CR23
  publication-title: Nucleic Acids Res
  doi: 10.1093/nar/gkv007
– volume: 359
  start-page: 104
  issue: 6371
  year: 2018
  ident: 3021_CR19
  publication-title: Science.
  doi: 10.1126/science.aao3290
– volume: 13
  start-page: 5
  year: 2016
  ident: 3021_CR36
  publication-title: Retrovirology.
  doi: 10.1186/s12977-016-0237-1
– volume: 2
  start-page: e00107
  issue: 5
  year: 2017
  ident: 3021_CR2
  publication-title: mSystems
  doi: 10.1128/mSystems.00107-17
– volume: 29
  start-page: 149
  issue: 2
  year: 2013
  ident: 3021_CR5
  publication-title: Bioinformatics.
  doi: 10.1093/bioinformatics/bts655
– volume: 2
  start-page: 16
  issue: 1
  year: 2013
  ident: 3021_CR38
  publication-title: Gigascience.
  doi: 10.1186/2047-217X-2-16
– volume: 75
  start-page: 7537
  issue: 23
  year: 2009
  ident: 3021_CR39
  publication-title: Appl Environ Microbiol
  doi: 10.1128/AEM.01541-09
– volume: 134
  start-page: 577
  issue: 2
  year: 2008
  ident: 3021_CR11
  publication-title: Gastroenterology.
  doi: 10.1053/j.gastro.2007.11.059
– volume: 16
  start-page: 135
  year: 2015
  ident: 3021_CR47
  publication-title: BMC Bioinformatics
  doi: 10.1186/s12859-015-0550-z
– volume: 455
  start-page: 1109
  issue: 7216
  year: 2008
  ident: 3021_CR12
  publication-title: Nature.
  doi: 10.1038/nature07336
– volume: 135
  start-page: 25
  issue: 1
  year: 2015
  ident: 3021_CR13
  publication-title: J Allergy Clin Immunol
  doi: 10.1016/j.jaci.2014.11.011
– volume: 20
  start-page: 149
  issue: 1
  year: 2018
  ident: 3021_CR30
  publication-title: Arthritis Res Ther
  doi: 10.1186/s13075-018-1639-3
– volume: 45
  start-page: D183
  issue: D1
  year: 2017
  ident: 3021_CR46
  publication-title: Nucleic Acids Res
  doi: 10.1093/nar/gkw1138
– ident: 3021_CR20
  doi: 10.2217/imt-2018-0110
– volume: 13
  start-page: 825
  issue: 5
  year: 2016
  ident: 3021_CR7
  publication-title: IEEE/ACM Trans Comput Biol Bioinform
  doi: 10.1109/TCBB.2016.2551745
– volume: 359
  start-page: 97
  issue: 6371
  year: 2018
  ident: 3021_CR9
  publication-title: Science.
  doi: 10.1126/science.aan4236
– volume: 29
  start-page: 886
  issue: 10
  year: 2011
  ident: 3021_CR42
  publication-title: Nat Biotechnol
  doi: 10.1038/nbt.1991
– volume: 64
  start-page: 765
  issue: 3
  year: 2016
  ident: 3021_CR32
  publication-title: Immunol Res
  doi: 10.1007/s12026-015-8775-5
– volume: 10
  start-page: e0133627
  issue: 7
  year: 2015
  ident: 3021_CR4
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0133627
– volume: 114
  start-page: 10713
  issue: 40
  year: 2017
  ident: 3021_CR14
  publication-title: PNAS.
  doi: 10.1073/pnas.1711235114
– volume: 7
  start-page: 335
  issue: 5
  year: 2010
  ident: 3021_CR37
  publication-title: Nat Methods
  doi: 10.1038/nmeth.f.303
– ident: 3021_CR33
  doi: 10.3386/w0173
– volume: 8
  start-page: e61217
  issue: 4
  year: 2013
  ident: 3021_CR40
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0061217
– volume: 10
  start-page: 77
  issue: 1
  year: 2019
  ident: 3021_CR35
  publication-title: Gut Microbes
  doi: 10.1080/19490976.2018.1491265
– start-page: 200
  volume-title: The visual display of quantitative information
  year: 2001
  ident: 3021_CR27
– volume: 19
  start-page: 325
  issue: 2
  year: 2018
  ident: 3021_CR6
  publication-title: Brief Bioinform
– volume: 9
  start-page: 56
  issue: 2
  year: 2017
  ident: 3021_CR44
  publication-title: The R Journal
  doi: 10.32614/RJ-2017-046
– volume: 7
  start-page: S56
  issue: 3s
  year: 2010
  ident: 3021_CR45
  publication-title: Nat Methods
  doi: 10.1038/nmeth.1436
– volume: 8
  start-page: 43
  year: 2016
  ident: 3021_CR15
  publication-title: Genome Med
  doi: 10.1186/s13073-016-0299-7
– volume: 111
  start-page: E2770
  issue: 26
  year: 2014
  ident: 3021_CR41
  publication-title: PNAS.
  doi: 10.1073/pnas.1408792111
– volume: 99
  start-page: 600
  issue: 6
  year: 2016
  ident: 3021_CR17
  publication-title: Clin Pharmacol Ther
  doi: 10.1002/cpt.363
– ident: 3021_CR26
– volume: 10
  issue: 4
  year: 2014
  ident: 3021_CR48
  publication-title: PLoS Comput Biol
  doi: 10.1371/journal.pcbi.1003531
– volume: 30
  start-page: 192
  year: 2018
  ident: 3021_CR31
  publication-title: EBioMedicine.
  doi: 10.1016/j.ebiom.2018.03.024
– volume: 2
  start-page: e00130
  issue: 6
  year: 2017
  ident: 3021_CR1
  publication-title: mSystems
  doi: 10.1128/mSystems.00130-17
– volume: 195
  start-page: 773
  issue: 3
  year: 2015
  ident: 3021_CR43
  publication-title: J Immunol
  doi: 10.4049/jimmunol.1500633
– volume: 14
  start-page: 329
  issue: 3
  year: 2013
  ident: 3021_CR16
  publication-title: Cell Host Microbe
  doi: 10.1016/j.chom.2013.08.006
– volume: 20
  start-page: 535
  issue: 4
  year: 2016
  ident: 3021_CR10
  publication-title: Cell Host Microbe
  doi: 10.1016/j.chom.2016.09.002
– volume: 359
  start-page: 91
  issue: 6371
  year: 2018
  ident: 3021_CR18
  publication-title: Science.
  doi: 10.1126/science.aan3706
– start-page: 428
  volume-title: Visualization analysis and design
  year: 2014
  ident: 3021_CR28
  doi: 10.1201/b17511
– volume: 108
  start-page: 6252
  issue: 15
  year: 2011
  ident: 3021_CR34
  publication-title: Proc Natl Acad Sci U S A
  doi: 10.1073/pnas.1102938108
– volume: 17
  start-page: 2301
  issue: 12
  year: 2011
  ident: 3021_CR25
  publication-title: IEEE Trans Vis Comput Graph
  doi: 10.1109/TVCG.2011.185
– start-page: 364
  volume-title: The craft of information visualization
  year: 2003
  ident: 3021_CR29
  doi: 10.1016/B978-155860915-0/50046-9
– volume: 6
  start-page: 198
  issue: 1
  year: 2018
  ident: 3021_CR22
  publication-title: Microbiome
  doi: 10.1186/s40168-018-0580-7
– volume: 5
  start-page: 1408
  year: 2018
  ident: 3021_CR24
  publication-title: F1000Research
  doi: 10.12688/f1000research.9005.3
– volume: 19
  start-page: 286
  issue: 2
  year: 2018
  ident: 3021_CR8
  publication-title: Brief Bioinform
  doi: 10.1093/bib/bbw114
SSID ssj0017805
Score 2.3221781
Snippet Relationships between specific microbes and proper immune system development, composition, and function have been reported in a number of studies. However,...
Background Relationships between specific microbes and proper immune system development, composition, and function have been reported in a number of studies....
Abstract Background Relationships between specific microbes and proper immune system development, composition, and function have been reported in a number of...
SourceID doaj
pubmedcentral
proquest
gale
pubmed
crossref
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Enrichment Source
StartPage 432
SubjectTerms 16S
Analysis
Applications programs
Arthritis
Bacteroides - metabolism
Cohort Studies
CyTOF
Cytokine
Cytokines
Cytokines - metabolism
Cytometry
Data visualization
Disease
Experimentation
Gastrointestinal diseases
Gene sequencing
Health aspects
HIV
HIV Infections - immunology
HIV Infections - microbiology
Human immunodeficiency virus
Humans
Immune system
Immune System - metabolism
Immunodeficiency
Inflammatory bowel diseases
Inflammatory Bowel Diseases - microbiology
Inflammatory diseases
Intestine
Microbiological research
Microbiome
Microbiomes
Microbiota
Microorganisms
Multi-omic
Regression analysis
Rheumatic diseases
Ribosomal RNA
RNA
rRNA 16S
Software
Spondylarthritis - microbiology
Subject specialists
Technology application
Viruses
Visualization (Computer)
SummonAdditionalLinks – databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3di9QwEA9yIPgifrt3p1QRBKFckyZp49ue3HGKX5ye3FtIk4kW7rpidw_uv3emzS5bBH3xtZmW5pfJfDCTXxh7wTFB00HpPCrUYFl6k7uay9ypInrg6IQaOu_84aM-OZPvztX51lVf1BM20gOPwB1A4UyAOhgJRJQCDoxTBpoAVakBgKwv-rx1MpXqB8TUn2qYvNYHPSeeNkybqc4vMH-eeKGBrP9Pk7zlk6b9klsO6PgOu50ix2w-_vFddgO6e-zmeJfk9X32-dun9_PTo9fZVduvUM4ltpFsEbNUhcldWgsI2WU7MjBdQt7SERHIRk7nrB26EC_c9QN2dnz09c1Jnq5LyL0ycpmXUgnMkweGvdL5MmqM_bjToMtGcR90VVXR1OiyI5cxFqaARhtMuGKMKAPlQ7bTLTp4zDKjK9w9QXghg_Re1hGiCrxB4FUdnJixYg2f9YlLnK60uLBDTlFrOyJuEXFLiNtixl5tXvk5Emn8TfiQ1mQjSBzYwwPUDJs0w_5LM2bsOa2oJZaLjtpovrtV39u3X07tHNMorYn9bcZeJqG4wBl4l04lIA5EjDWR3J9I4jb00-G14thkBnorhBFEQMhxRs82w_QmtbZ1sFiRTI0hmDQ1yjwa9Wwz75JjuFAJ_Hg10cAJMNORrv0xkITrCi03l7v_A8k9dkvQ3inIqO6zneWvFTzBWGzZPB223W-I8jIp
  priority: 102
  providerName: Directory of Open Access Journals
– databaseName: ProQuest Health & Medical Collection
  dbid: 7X7
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3da9UwFA86EXwRv1edUkUQhLKmTdPGF7nKxhS_mE7uW0iTk1nY2rneK-y_95w2t64Ie21OS3JyPpuT32HsJccETbpCJr5ACRa5VYmpuEhMkXoLHJ1QTfedP3-RB0fi47JYhh9ufSir3NjEwVC7ztI_8t0sUxlhufH07dnvhLpG0elqaKFxnd0g6DIq6SqXU8LFCa8_nGTySu72nNDaMHmm0_4Ms-iZLxog-_83zJc807xq8pIb2r_Dbof4MV6MG36XXYP2Hrs5dpS8uM--_fz6aXG49yb-0_RrpDMBcyTufBzOYhITdgRcfNqMOEynkDR0UQTiEdk5boZaxBNz8YAd7e_9eH-QhKYJiS2UWCW5KDLMlgecvdzY3EuMALmRIPO64NbJsiy9qtBxey68T1UKtVSYdnnvkQbyh2yr7VrYZrGSJeqQy2wmnLBWVB584XhdKCgqZ7KIpRv2aRsQxamxxYkeMotK6pHjGjmuieM6jdjr6ZWzEU7jKuJ3tCcTISFhDw-682MdFEtDapSDyikBBKQDBpTBCdYOylwCQMRe0I5qwrpoqZjm2Kz7Xn_4fqgXmExJSRhwEXsViHyHK7Am3E1APhA81oxyZ0aJymjnwxvB0cEY9Pqf6Ebs-TRMb1KBWwvdmmgqDMSEqpDm0Shn07pzjkFDmeHHy5kEzhgzH2mbXwNUuCzRfnPx-OppPWG3MtKKlIzmDttana_hKcZaq_rZoFB_AaQAJ3A
  priority: 102
  providerName: ProQuest
Title VOLARE: visual analysis of disease-associated microbiome-immune system interplay
URI https://www.ncbi.nlm.nih.gov/pubmed/31429723
https://www.proquest.com/docview/2292793710
https://www.proquest.com/docview/2281104980
https://pubmed.ncbi.nlm.nih.gov/PMC6701114
https://doaj.org/article/e0a9de8d94e7489eae9a59ebde736eee
Volume 20
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1tb9MwELb2ItC-TLzTMaqAkJCQAnHi2DESQh1qGRUbU0enfrMcxx6VuhT6gui_5y5xyyIGXxIpfhzF5zufL7afI-QFhQCNFykPXQoazBIjQ51RFuo0csZScEI5nnc-OeXHQ9YfpaMtsk5v5QU4vzG0w3xSw9nk9a8fq_dg8O8qg8_4mzlFFjYIinEVP4boeJvsgmMSaKcn7M-iAtL3-4XNG6vtkdsJhfFZxEnDS1Vk_n8P2dd8VnM_5TUH1btD9v3MMujUqnCXbNnyHrlV55pc3SdnF18-dwbdt8HP8XwJOO3ZSIKpC_wqTah9X9kiuBrXDE1XNhzjERIb1JzPwbjapTjRqwdk2Ot-_XAc-nQKoUklW4QJS2OIoysGvkSbxHGYG1LNLU_ylJqCCyGczEByjjLnIhnZnEsIyJxzgLHJQ7JTTkv7mASSC7CuIjYxK5gxLHPWpQXNU2nTrNBxi0Rr8SnjucYx5cVEVTFHxlUtfAXCVyh8FbXIq02V7zXRxv_AR9gnGyByZFcPprNL5U1O2UjLwmaFZBYpdqy2UsMH5oUVCbfWtshz7FGFLBglbrO51Mv5XH06H6gOhFmcIztci7z0IDeFFhjtTy2AHJA4q4E8bCDBTE2zeK04aq3lKo5ljASFFFr0bFOMNXHrW2mnS8RkMEVjMgPMo1rPNu1eq2uLiIYGNgTTLCnH3yoScS5gZKfs4J_vfEL2YrSNCEfSQ7KzmC3tU5iALfI22RYjAdes97FNdjud_nkf7kfd07NBu_qp0a4M7zd_NjAb
linkProvider Scholars Portal
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3fb9MwELbGEIIXxG8KAwICISFFix3HiZEQKrBpZd1AY5v6ZhznPCptzVhaUP8p_kbukrQsQtrbXuNLlJzvfPfF5-8Ye8kRoKkiUaFP0IJl7HRoMy5Dm0TeAccglNN5551dtXUgP4-S0Qr7szgLQ2WVizWxXqiL0tE_8nUhtCAuNx69P_0ZUtco2l1dtNBozGIb5r8RslXvBp9wfl8Jsbmx_3ErbLsKhC7RchrGMhEIJ2siuti62CtMkbhVoOI84a5QaZp6nWFk81x6H-kIcqURl3jvUQZifO4VdhUDb0QelY6WAI9Tf4B255Rnar3ixA6HYJ2qCwSi9k7sq1sE_B8IzkXCbpXmubC3eYvdbPPVoN8Y2G22ApM77FrTwXJ-l309_DLs7228DX6NqxnK2ZbjJCh90O79hLa1ACiCk3HD-3QC4ZgOpkDQMEkH47r28djO77GDS1HnfbY6KSfwkAVapeizhXBCFtI5mXnwScHzREOSFVb0WLRQn3Etgzk10jg2NZLJlGk0blDjhjRuoh57s7zltKHvuEj4A83JUpCYt-sL5dmRaR3ZQGR1AVmhJRBxD1jQFl8wLyCNFQD02AuaUUPcGhMq3jmys6oyg297po_gTSninOux162QL_ELnG3PQqAeiI6rI7nWkUTnd93hheGYdvGpzD9X6bHny2G6kwrqJlDOSCbDxE_qDGUeNHa2_O6YY5KSCnx42rHAjmK6I5Pxj5qaXKUYL7h8dPFrPWPXt_Z3hmY42N1-zG4I8pCIFuw1tjo9m8ETzPOm-dPauQL2_bK9-S8pXmMh
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=VOLARE%3A+visual+analysis+of+disease-associated+microbiome-immune+system+interplay&rft.jtitle=BMC+bioinformatics&rft.au=Siebert%2C+Janet+C&rft.au=Neff%2C+Charles+Preston&rft.au=Schneider%2C+Jennifer+M&rft.au=Regner%2C+Emilie+H&rft.date=2019-08-20&rft.eissn=1471-2105&rft.volume=20&rft.issue=1&rft.spage=432&rft_id=info:doi/10.1186%2Fs12859-019-3021-0&rft_id=info%3Apmid%2F31429723&rft.externalDocID=31429723
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1471-2105&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1471-2105&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1471-2105&client=summon