gEVAL - a web-based browser for evaluating genome assemblies

For most research approaches, genome analyses are dependent on the existence of a high quality genome reference assembly. However, the local accuracy of an assembly remains difficult to assess and improve. The gEVAL browser allows the user to interrogate an assembly in any region of the genome by co...

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Published inBioinformatics (Oxford, England) Vol. 32; no. 16; pp. 2508 - 2510
Main Authors Chow, William, Brugger, Kim, Caccamo, Mario, Sealy, Ian, Torrance, James, Howe, Kerstin
Format Journal Article
LanguageEnglish
Published England Oxford University Press 15.08.2016
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Abstract For most research approaches, genome analyses are dependent on the existence of a high quality genome reference assembly. However, the local accuracy of an assembly remains difficult to assess and improve. The gEVAL browser allows the user to interrogate an assembly in any region of the genome by comparing it to different datasets and evaluating the concordance. These analyses include: a wide variety of sequence alignments, comparative analyses of multiple genome assemblies, and consistency with optical and other physical maps. gEVAL highlights allelic variations, regions of low complexity, abnormal coverage, and potential sequence and assembly errors, and offers strategies for improvement. Although gEVAL focuses primarily on sequence integrity, it can also display arbitrary annotation including from Ensembl or TrackHub sources. We provide gEVAL web sites for many human, mouse, zebrafish and chicken assemblies to support the Genome Reference Consortium, and gEVAL is also downloadable to enable its use for any organism and assembly. Web Browser: http://geval.sanger.ac.uk, Plugin: http://wchow.github.io/wtsi-geval-plugin kj2@sanger.ac.uk Supplementary data are available at Bioinformatics online.
AbstractList Motivation: For most research approaches, genome analyses are dependent on the existence of a high quality genome reference assembly. However, the local accuracy of an assembly remains difficult to assess and improve. The gEVAL browser allows the user to interrogate an assembly in any region of the genome by comparing it to different datasets and evaluating the concordance. These analyses include: a wide variety of sequence alignments, comparative analyses of multiple genome assemblies, and consistency with optical and other physical maps. gEVAL highlights allelic variations, regions of low complexity, abnormal coverage, and potential sequence and assembly errors, and offers strategies for improvement. Although gEVAL focuses primarily on sequence integrity, it can also display arbitrary annotation including from Ensembl or TrackHub sources. We provide gEVAL web sites for many human, mouse, zebrafish and chicken assemblies to support the Genome Reference Consortium, and gEVAL is also downloadable to enable its use for any organism and assembly. Availability and Implementation: Web Browser: http://geval.sanger.ac.uk, Plugin: http://wchow.github.io/wtsi-geval-plugin. Contact:  kj2@sanger.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online.
For most research approaches, genome analyses are dependent on the existence of a high quality genome reference assembly. However, the local accuracy of an assembly remains difficult to assess and improve. The gEVAL browser allows the user to interrogate an assembly in any region of the genome by comparing it to different datasets and evaluating the concordance. These analyses include: a wide variety of sequence alignments, comparative analyses of multiple genome assemblies, and consistency with optical and other physical maps. gEVAL highlights allelic variations, regions of low complexity, abnormal coverage, and potential sequence and assembly errors, and offers strategies for improvement. Although gEVAL focuses primarily on sequence integrity, it can also display arbitrary annotation including from Ensembl or TrackHub sources. We provide gEVAL web sites for many human, mouse, zebrafish and chicken assemblies to support the Genome Reference Consortium, and gEVAL is also downloadable to enable its use for any organism and assembly. Web Browser: http://geval.sanger.ac.uk, Plugin: http://wchow.github.io/wtsi-geval-plugin kj2@sanger.ac.uk Supplementary data are available at Bioinformatics online.
Motivation: For most research approaches, genome analyses are dependent on the existence of a high quality genome reference assembly. However, the local accuracy of an assembly remains difficult to assess and improve. The gEVAL browser allows the user to interrogate an assembly in any region of the genome by comparing it to different datasets and evaluating the concordance. These analyses include: a wide variety of sequence alignments, comparative analyses of multiple genome assemblies, and consistency with optical and other physical maps. gEVAL highlights allelic variations, regions of low complexity, abnormal coverage, and potential sequence and assembly errors, and offers strategies for improvement. Although gEVAL focuses primarily on sequence integrity, it can also display arbitrary annotation including from Ensembl or TrackHub sources. We provide gEVAL web sites for many human, mouse, zebrafish and chicken assemblies to support the Genome Reference Consortium, and gEVAL is also downloadable to enable its use for any organism and assembly. Availability and Implementation: Web Browser: http://geval.sanger.ac.uk , Plugin: http://wchow.github.io/wtsi-geval-plugin . Contact: kj2@sanger.ac.uk Supplementary information : Supplementary data are available at Bioinformatics online.
MOTIVATIONFor most research approaches, genome analyses are dependent on the existence of a high quality genome reference assembly. However, the local accuracy of an assembly remains difficult to assess and improve. The gEVAL browser allows the user to interrogate an assembly in any region of the genome by comparing it to different datasets and evaluating the concordance. These analyses include: a wide variety of sequence alignments, comparative analyses of multiple genome assemblies, and consistency with optical and other physical maps. gEVAL highlights allelic variations, regions of low complexity, abnormal coverage, and potential sequence and assembly errors, and offers strategies for improvement. Although gEVAL focuses primarily on sequence integrity, it can also display arbitrary annotation including from Ensembl or TrackHub sources. We provide gEVAL web sites for many human, mouse, zebrafish and chicken assemblies to support the Genome Reference Consortium, and gEVAL is also downloadable to enable its use for any organism and assembly.AVAILABILITY AND IMPLEMENTATIONWeb Browser: http://geval.sanger.ac.uk, Plugin: http://wchow.github.io/wtsi-geval-pluginCONTACTkj2@sanger.ac.ukSUPPLEMENTARY INFORMATIONSupplementary data are available at Bioinformatics online.
Author Chow, William
Brugger, Kim
Torrance, James
Caccamo, Mario
Sealy, Ian
Howe, Kerstin
Author_xml – sequence: 1
  givenname: William
  surname: Chow
  fullname: Chow, William
  organization: Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
– sequence: 2
  givenname: Kim
  surname: Brugger
  fullname: Brugger, Kim
  organization: East Anglian Medical Genetics Centre, Cambridge University Hospitals, NHS Foundation Trust, Cambridge CB2 0QQ, UK
– sequence: 3
  givenname: Mario
  surname: Caccamo
  fullname: Caccamo, Mario
  organization: National Institute of Agricultural Botany, Cambridge CB3 0LE, UK
– sequence: 4
  givenname: Ian
  surname: Sealy
  fullname: Sealy, Ian
  organization: Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
– sequence: 5
  givenname: James
  surname: Torrance
  fullname: Torrance, James
  organization: Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
– sequence: 6
  givenname: Kerstin
  surname: Howe
  fullname: Howe, Kerstin
  organization: Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
BackLink https://www.ncbi.nlm.nih.gov/pubmed/27153597$$D View this record in MEDLINE/PubMed
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Motivation: For most research approaches, genome analyses are dependent on the existence of a high quality genome reference assembly. However, the local...
MOTIVATIONFor most research approaches, genome analyses are dependent on the existence of a high quality genome reference assembly. However, the local accuracy...
Motivation: For most research approaches, genome analyses are dependent on the existence of a high quality genome reference assembly. However, the local...
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