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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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 |
work_keys_str_mv |
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