Welly: a web-tool for visualizing growth curves from microplate data
Welly is a web-based tool designed to simplify the visualization and analysis of growth curves from 96- and 384-well plates, addressing the limitations of existing commercial and coding-based solutions. Users can upload plate reader data in CSV or Excel format, easily select sample names and replica...
Saved in:
Published in | Bioinformatics advances Vol. 5; no. 1; p. vbaf038 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
England
2025
|
Online Access | Get full text |
ISSN | 2635-0041 2635-0041 |
DOI | 10.1093/bioadv/vbaf038 |
Cover
Abstract | Welly is a web-based tool designed to simplify the visualization and analysis of growth curves from 96- and 384-well plates, addressing the limitations of existing commercial and coding-based solutions. Users can upload plate reader data in CSV or Excel format, easily select sample names and replicates and Welly generates interactive growth curves displaying the mean and standard deviation of triplicates. Additional features include heat map visualizations of maximum values, and downloadable interactive graphs of publication-quality figures and statistics files containing area under curve and max growth rate value of replicates.
Welly is freely available at https://synbioexplorer.pythonanywhere.com, providing an easy-to-use interface accessible to all. All the code is publicly available at the github repository https://github.com/SynBioExplorer/Welly under the MIT license. The website will remain freely accessible for at least 2 years post publication, likely longer. |
---|---|
AbstractList | Welly is a web-based tool designed to simplify the visualization and analysis of growth curves from 96- and 384-well plates, addressing the limitations of existing commercial and coding-based solutions. Users can upload plate reader data in CSV or Excel format, easily select sample names and replicates and Welly generates interactive growth curves displaying the mean and standard deviation of triplicates. Additional features include heat map visualizations of maximum values, and downloadable interactive graphs of publication-quality figures and statistics files containing area under curve and max growth rate value of replicates.SummaryWelly is a web-based tool designed to simplify the visualization and analysis of growth curves from 96- and 384-well plates, addressing the limitations of existing commercial and coding-based solutions. Users can upload plate reader data in CSV or Excel format, easily select sample names and replicates and Welly generates interactive growth curves displaying the mean and standard deviation of triplicates. Additional features include heat map visualizations of maximum values, and downloadable interactive graphs of publication-quality figures and statistics files containing area under curve and max growth rate value of replicates.Welly is freely available at https://synbioexplorer.pythonanywhere.com, providing an easy-to-use interface accessible to all. All the code is publicly available at the github repository https://github.com/SynBioExplorer/Welly under the MIT license. The website will remain freely accessible for at least 2 years post publication, likely longer.Availability and implementationWelly is freely available at https://synbioexplorer.pythonanywhere.com, providing an easy-to-use interface accessible to all. All the code is publicly available at the github repository https://github.com/SynBioExplorer/Welly under the MIT license. The website will remain freely accessible for at least 2 years post publication, likely longer. Welly is a web-based tool designed to simplify the visualization and analysis of growth curves from 96- and 384-well plates, addressing the limitations of existing commercial and coding-based solutions. Users can upload plate reader data in CSV or Excel format, easily select sample names and replicates and Welly generates interactive growth curves displaying the mean and standard deviation of triplicates. Additional features include heat map visualizations of maximum values, and downloadable interactive graphs of publication-quality figures and statistics files containing area under curve and max growth rate value of replicates. Welly is freely available at https://synbioexplorer.pythonanywhere.com, providing an easy-to-use interface accessible to all. All the code is publicly available at the github repository https://github.com/SynBioExplorer/Welly under the MIT license. The website will remain freely accessible for at least 2 years post publication, likely longer. |
Author | Williams, Tom Paulsen, Ian Meier, Felix |
Author_xml | – sequence: 1 givenname: Felix orcidid: 0009-0000-2858-6259 surname: Meier fullname: Meier, Felix – sequence: 2 givenname: Tom orcidid: 0000-0002-0594-3441 surname: Williams fullname: Williams, Tom – sequence: 3 givenname: Ian orcidid: 0000-0001-9015-9418 surname: Paulsen fullname: Paulsen, Ian |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/40092528$$D View this record in MEDLINE/PubMed |
BookMark | eNpNkDtPwzAURi1UREvpyog8sqS9tuPYZkMtL6kSC4gxcmKnBCVxsZNU5dcT1IKY7h2OPumcczRqXGMRuiQwJ6DYIiudNv2iz3QBTJ6gCU0YjwBiMvr3j9EshA8AoEIkJGZnaBwDKMqpnKDVm62q_Q3WeGezqHWuwoXzuC9Dp6vyq2w2eOPdrn3Heed7G3DhXY3rMvduW-nWYqNbfYFOC10FOzveKXq9v3tZPkbr54en5e06yimFNrIxFxxyC8xkTBmS0xiI1BkXuZA2FhSMoMxww7mKQVLCWZaopFBgtABK2RRdH3a33n12NrRpXYZ8ENCNdV1IGRGSSpXIZECvjmiX1dakW1_W2u_TX_MBmB-AwSQEb4s_hED6Uzc91E2Pddk3gLltGA |
Cites_doi | 10.1128/msystems.00508-21 10.1186/s13104-021-05573-0 10.1186/s12859-024-05692-y 10.1186/s12859-024-05817-3 |
ContentType | Journal Article |
Copyright | The Author(s) 2025. Published by Oxford University Press. |
Copyright_xml | – notice: The Author(s) 2025. Published by Oxford University Press. |
DBID | AAYXX CITATION NPM 7X8 |
DOI | 10.1093/bioadv/vbaf038 |
DatabaseName | CrossRef PubMed MEDLINE - Academic |
DatabaseTitle | CrossRef PubMed MEDLINE - Academic |
DatabaseTitleList | MEDLINE - Academic PubMed |
Database_xml | – sequence: 1 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 |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Biology |
EISSN | 2635-0041 |
ExternalDocumentID | 40092528 10_1093_bioadv_vbaf038 |
Genre | Journal Article |
GroupedDBID | 0R~ AAYXX ABEJV ABGNP ABXVV AFKRA ALMA_UNASSIGNED_HOLDINGS AMNDL BBNVY BENPR BHPHI CCPQU CITATION GROUPED_DOAJ HCIFZ M7P M~E OK1 PHGZM PHGZT PIMPY RPM TOX ZCN ABDBF NPM 7X8 PQGLB |
ID | FETCH-LOGICAL-c220t-e45750ce03db39d1c24018ab57c78e4720d723d5d5594082153b696f90da70223 |
ISSN | 2635-0041 |
IngestDate | Fri Sep 05 08:13:50 EDT 2025 Wed Mar 19 01:28:55 EDT 2025 Thu Jul 03 08:32:38 EDT 2025 |
IsDoiOpenAccess | false |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 1 |
Language | English |
License | https://creativecommons.org/licenses/by/4.0 The Author(s) 2025. Published by Oxford University Press. |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-c220t-e45750ce03db39d1c24018ab57c78e4720d723d5d5594082153b696f90da70223 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ORCID | 0000-0002-0594-3441 0000-0001-9015-9418 0009-0000-2858-6259 |
OpenAccessLink | https://doi.org/10.1093/bioadv/vbaf038 |
PMID | 40092528 |
PQID | 3178289686 |
PQPubID | 23479 |
ParticipantIDs | proquest_miscellaneous_3178289686 pubmed_primary_40092528 crossref_primary_10_1093_bioadv_vbaf038 |
PublicationCentury | 2000 |
PublicationDate | 2025-00-00 |
PublicationDateYYYYMMDD | 2025-01-01 |
PublicationDate_xml | – year: 2025 text: 2025-00-00 |
PublicationDecade | 2020 |
PublicationPlace | England |
PublicationPlace_xml | – name: England |
PublicationTitle | Bioinformatics advances |
PublicationTitleAlternate | Bioinform Adv |
PublicationYear | 2025 |
References | Blazanin (2025061901555321200_vbaf038-B1) 2024; 25 Midani (2025061901555321200_vbaf038-B3) 2021; 6 Quast (2025061901555321200_vbaf038-B4) 2024 Kundert (2025061901555321200_vbaf038-B2) 2021; 14 Reiter (2025061901555321200_vbaf038-B5) 2024; 25 |
References_xml | – year: 2024 ident: 2025061901555321200_vbaf038-B4 – volume: 6 start-page: e0050821 year: 2021 ident: 2025061901555321200_vbaf038-B3 article-title: AMiGA: software for automated analysis of microbial growth assays publication-title: mSystems doi: 10.1128/msystems.00508-21 – volume: 14 start-page: 164 year: 2021 ident: 2025061901555321200_vbaf038-B2 article-title: Wellmap: a file format for microplate layouts publication-title: BMC Res Notes doi: 10.1186/s13104-021-05573-0 – volume: 25 start-page: 67 year: 2024 ident: 2025061901555321200_vbaf038-B5 article-title: Dashing growth curves: a web application for rapid and interactive analysis of microbial growth curves publication-title: BMC Bioinformatics doi: 10.1186/s12859-024-05692-y – volume: 25 start-page: 232 year: 2024 ident: 2025061901555321200_vbaf038-B1 article-title: gcplyr: an R package for microbial growth curve data analysis publication-title: BMC Bioinformatics doi: 10.1186/s12859-024-05817-3 |
SSID | ssj0002776143 |
Score | 2.2788503 |
Snippet | Welly is a web-based tool designed to simplify the visualization and analysis of growth curves from 96- and 384-well plates, addressing the limitations of... |
SourceID | proquest pubmed crossref |
SourceType | Aggregation Database Index Database |
StartPage | vbaf038 |
Title | Welly: a web-tool for visualizing growth curves from microplate data |
URI | https://www.ncbi.nlm.nih.gov/pubmed/40092528 https://www.proquest.com/docview/3178289686 |
Volume | 5 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3da9swEBdby0Zfxr6XfQQNBnsYah1bspy97aOlG7SMkbK-GcmSi0eahNYpW__63enkJKUpbHsxRg5ycj9x-d1J9zvG3mjplS2qWsihU0Kq1IhCZlpIp4w2Lq0HoVzs4DDfP5Jfj9XxspVcqC5p7XZ1ubau5H9QhTHAFatk_wHZxaQwAPeAL1wBYbj-FcY_PDaKDuXK4A1Fi3qaeGzwojnHWslLTAOcQJyNp8vnZ6gvG6pJTvEQ3mwMLPNdLE1b7us20yilSvLNdEJgwbsPfEMQ7_lx82tdzmZEP5N2pebjmN_5EtdgTC9QEfK2Dw4IdWoECnKtekt1bVGQ57uwpk5IqOWaVybFKttM4VvDzZqPgqlmpwEliSpQKhaMX1XC7h7dZpup1gO1kpv5GbZQNXCNbKHMme3QG3fi-7bY3W6GqyTkhsgiMIzRfXYvhgb8A-H8gN3yk4fsDjUL_f2IfQ5ov-eGd1hzAIqvYM0Ja05Yc8SaL7HmiPVjdrS3O_q0L2IPDFGladIKL4FPJ9jUzdls6AYVMLBBYazSlS681GnidJo55SAyxN7h8Adm82FeDxNnNPCz7AnbmEwn_hnjCkLh1Hmfw7gE3mxdVqHWjwbGpoyqe-xtZ5RyRlInJR1RyEqyZBkt2WOvO5uV4I1wi8lM_HR-XgIbxRA-L_Iee0rGXMzVGf_5jU9esC1cgpThesk22rO5fwWcr7V9tvlx9_Db937ImfQD8H8ARiBbXw |
linkProvider | National Library of Medicine |
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=Welly%3A+a+web-tool+for+visualizing+growth+curves+from+microplate+data&rft.jtitle=Bioinformatics+advances&rft.au=Meier%2C+Felix&rft.au=Williams%2C+Tom&rft.au=Paulsen%2C+Ian&rft.date=2025&rft.eissn=2635-0041&rft.volume=5&rft.issue=1&rft.spage=vbaf038&rft_id=info:doi/10.1093%2Fbioadv%2Fvbaf038&rft_id=info%3Apmid%2F40092528&rft.externalDocID=40092528 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2635-0041&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2635-0041&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2635-0041&client=summon |