The ICR142 NGS validation series: a resource for orthogonal assessment of NGS analysis [version 1; referees: 2 approved]

To provide a useful community resource for orthogonal assessment of NGS analysis software, we present the ICR142 NGS validation series. The dataset includes high-quality exome sequence data from 142 samples together with Sanger sequence data at 730 sites; 409 sites with variants and 321 sites at whi...

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Main Authors: Elise Ruark, Anthony Renwick, Matthew Clarke, Katie Snape, Emma Ramsay, Anna Elliott, Sandra Hanks, Ann Strydom, Sheila Seal, Nazneen Rahman
Format: Article
Language:English
Published: F1000 Research Ltd 2016-03-01
Series:F1000Research
Subjects:
Online Access:http://f1000research.com/articles/5-386/v1
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spelling doaj-821aaa46b9d641ab8cd17f090df78dcc2020-11-25T03:12:36ZengF1000 Research LtdF1000Research2046-14022016-03-01510.12688/f1000research.8219.18841The ICR142 NGS validation series: a resource for orthogonal assessment of NGS analysis [version 1; referees: 2 approved]Elise Ruark0Anthony Renwick1Matthew Clarke2Katie Snape3Emma Ramsay4Anna Elliott5Sandra Hanks6Ann Strydom7Sheila Seal8Nazneen Rahman9Division of Genetics & Epidemiology, The Institute of Cancer Research, London, UKDivision of Genetics & Epidemiology, The Institute of Cancer Research, London, UKDivision of Genetics & Epidemiology, The Institute of Cancer Research, London, UKDivision of Genetics & Epidemiology, The Institute of Cancer Research, London, UKDivision of Genetics & Epidemiology, The Institute of Cancer Research, London, UKDivision of Genetics & Epidemiology, The Institute of Cancer Research, London, UKDivision of Genetics & Epidemiology, The Institute of Cancer Research, London, UKDivision of Genetics & Epidemiology, The Institute of Cancer Research, London, UKDivision of Genetics & Epidemiology, The Institute of Cancer Research, London, UKCancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, UKTo provide a useful community resource for orthogonal assessment of NGS analysis software, we present the ICR142 NGS validation series. The dataset includes high-quality exome sequence data from 142 samples together with Sanger sequence data at 730 sites; 409 sites with variants and 321 sites at which variants were called by an NGS analysis tool, but no variant is present in the corresponding Sanger sequence. The dataset includes 286 indel variants and 275 negative indel sites, and thus the ICR142 validation dataset is of particular utility in evaluating indel calling performance. The FASTQ files and Sanger sequence results can be accessed in the European Genome-phenome Archive under the accession number EGAS00001001332.http://f1000research.com/articles/5-386/v1Genomics
collection DOAJ
language English
format Article
sources DOAJ
author Elise Ruark
Anthony Renwick
Matthew Clarke
Katie Snape
Emma Ramsay
Anna Elliott
Sandra Hanks
Ann Strydom
Sheila Seal
Nazneen Rahman
spellingShingle Elise Ruark
Anthony Renwick
Matthew Clarke
Katie Snape
Emma Ramsay
Anna Elliott
Sandra Hanks
Ann Strydom
Sheila Seal
Nazneen Rahman
The ICR142 NGS validation series: a resource for orthogonal assessment of NGS analysis [version 1; referees: 2 approved]
F1000Research
Genomics
author_facet Elise Ruark
Anthony Renwick
Matthew Clarke
Katie Snape
Emma Ramsay
Anna Elliott
Sandra Hanks
Ann Strydom
Sheila Seal
Nazneen Rahman
author_sort Elise Ruark
title The ICR142 NGS validation series: a resource for orthogonal assessment of NGS analysis [version 1; referees: 2 approved]
title_short The ICR142 NGS validation series: a resource for orthogonal assessment of NGS analysis [version 1; referees: 2 approved]
title_full The ICR142 NGS validation series: a resource for orthogonal assessment of NGS analysis [version 1; referees: 2 approved]
title_fullStr The ICR142 NGS validation series: a resource for orthogonal assessment of NGS analysis [version 1; referees: 2 approved]
title_full_unstemmed The ICR142 NGS validation series: a resource for orthogonal assessment of NGS analysis [version 1; referees: 2 approved]
title_sort icr142 ngs validation series: a resource for orthogonal assessment of ngs analysis [version 1; referees: 2 approved]
publisher F1000 Research Ltd
series F1000Research
issn 2046-1402
publishDate 2016-03-01
description To provide a useful community resource for orthogonal assessment of NGS analysis software, we present the ICR142 NGS validation series. The dataset includes high-quality exome sequence data from 142 samples together with Sanger sequence data at 730 sites; 409 sites with variants and 321 sites at which variants were called by an NGS analysis tool, but no variant is present in the corresponding Sanger sequence. The dataset includes 286 indel variants and 275 negative indel sites, and thus the ICR142 validation dataset is of particular utility in evaluating indel calling performance. The FASTQ files and Sanger sequence results can be accessed in the European Genome-phenome Archive under the accession number EGAS00001001332.
topic Genomics
url http://f1000research.com/articles/5-386/v1
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