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BRCA-analyzer : Automatic workflow for processing NGS reads of BRCA1 and BRCA2 genes. / Kechin, Andrey; Khrapov, Evgeniy; Boyarskikh, Uljana et al.

In: Computational Biology and Chemistry, Vol. 77, 01.12.2018, p. 297-306.

Research output: Contribution to journalArticlepeer-review

Harvard

Kechin, A, Khrapov, E, Boyarskikh, U, Kel, A & Filipenko, M 2018, 'BRCA-analyzer: Automatic workflow for processing NGS reads of BRCA1 and BRCA2 genes', Computational Biology and Chemistry, vol. 77, pp. 297-306. https://doi.org/10.1016/j.compbiolchem.2018.10.012

APA

Kechin, A., Khrapov, E., Boyarskikh, U., Kel, A., & Filipenko, M. (2018). BRCA-analyzer: Automatic workflow for processing NGS reads of BRCA1 and BRCA2 genes. Computational Biology and Chemistry, 77, 297-306. https://doi.org/10.1016/j.compbiolchem.2018.10.012

Vancouver

Kechin A, Khrapov E, Boyarskikh U, Kel A, Filipenko M. BRCA-analyzer: Automatic workflow for processing NGS reads of BRCA1 and BRCA2 genes. Computational Biology and Chemistry. 2018 Dec 1;77:297-306. doi: 10.1016/j.compbiolchem.2018.10.012

Author

Kechin, Andrey ; Khrapov, Evgeniy ; Boyarskikh, Uljana et al. / BRCA-analyzer : Automatic workflow for processing NGS reads of BRCA1 and BRCA2 genes. In: Computational Biology and Chemistry. 2018 ; Vol. 77. pp. 297-306.

BibTeX

@article{aea0c38655664374b64fc75579c1c20f,
title = "BRCA-analyzer: Automatic workflow for processing NGS reads of BRCA1 and BRCA2 genes",
abstract = "The use of targeted next-generation sequencing (NGS) provides great new opportunities for molecular and medical genetics. However, in order to take advantage of these opportunities, we need to have reliable tools for extracting the necessary information from the huge amount of data generated by NGS. Here we present our automatic multithreaded workflow for processing NGS data of BRCA1 and BRCA2 genes obtained with NGS technology named BRCA-analyzer. Optimizing it on the sequencing data of 899 samples from 693 patients, we were able to find the most reliable tools and adjust their parameters in such a way that all pathogenic variants found were confirmed by Sanger's sequencing. For 82 and 24 DNA samples from blood and formalin-fixed paraffin-embedded blocks, NGS libraries were prepared with GeneRead BRCA panel v2 (Qiagen). The reads obtained were processed with BRCA-analyzer and Qiagen GeneRead Data analysis workflow. In total 27 pathogenic variants were found and confirmed by Sanger's sequencing, with all of them determined with BRCA-analyzer. Qiagen GeneRead Data analysis discarded 5 true pathogenic variants due to their location in homopolymeric sequence stretches. For other 793 samples, libraries were prepared by the in-house method, and NGS data were analyzed by BRCA-analyzer in comparison to another free automatic amplicon NGS workflow Canary. From total 137 pathogenic variations, BRCA-analyzer found 135 and Canary 123. Mutations were missed by BRCA-analyzer due to the trimming primer sequences from reads before mapping to be fixed in the next version. On the freely available NGS data, we showed that BRCA-analyzer could also be used for hybrid capture gene panels, although it needs more extensive testing on such library preparation methods. Thus, BRCA-analyzer is an automatic workflow for processing NGS data of BRCA1/2 genes with variant filters adapted to amplicon-based targeted NGS data. BRCA-analyzer can be used to identify germline as well as somatic mutations. BRCA-analyzer is freely available at https://github.com/aakechin/BRCA-analyzer.",
keywords = "Automatic workflow, BRCA, NGS tools, Qiagen data analysis, Gene Frequency, Humans, Male, Workflow, Genetic Variation, High-Throughput Nucleotide Sequencing/methods, BRCA2 Protein/genetics, Base Sequence, Genes, BRCA2, Female, Genes, BRCA1, Mutation, BRCA1 Protein/genetics",
author = "Andrey Kechin and Evgeniy Khrapov and Uljana Boyarskikh and Alexander Kel and Maxim Filipenko",
note = "Publisher Copyright: {\textcopyright} 2018 Elsevier Ltd",
year = "2018",
month = dec,
day = "1",
doi = "10.1016/j.compbiolchem.2018.10.012",
language = "English",
volume = "77",
pages = "297--306",
journal = "Computational Biology and Chemistry",
issn = "1476-9271",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - BRCA-analyzer

T2 - Automatic workflow for processing NGS reads of BRCA1 and BRCA2 genes

AU - Kechin, Andrey

AU - Khrapov, Evgeniy

AU - Boyarskikh, Uljana

AU - Kel, Alexander

AU - Filipenko, Maxim

N1 - Publisher Copyright: © 2018 Elsevier Ltd

PY - 2018/12/1

Y1 - 2018/12/1

N2 - The use of targeted next-generation sequencing (NGS) provides great new opportunities for molecular and medical genetics. However, in order to take advantage of these opportunities, we need to have reliable tools for extracting the necessary information from the huge amount of data generated by NGS. Here we present our automatic multithreaded workflow for processing NGS data of BRCA1 and BRCA2 genes obtained with NGS technology named BRCA-analyzer. Optimizing it on the sequencing data of 899 samples from 693 patients, we were able to find the most reliable tools and adjust their parameters in such a way that all pathogenic variants found were confirmed by Sanger's sequencing. For 82 and 24 DNA samples from blood and formalin-fixed paraffin-embedded blocks, NGS libraries were prepared with GeneRead BRCA panel v2 (Qiagen). The reads obtained were processed with BRCA-analyzer and Qiagen GeneRead Data analysis workflow. In total 27 pathogenic variants were found and confirmed by Sanger's sequencing, with all of them determined with BRCA-analyzer. Qiagen GeneRead Data analysis discarded 5 true pathogenic variants due to their location in homopolymeric sequence stretches. For other 793 samples, libraries were prepared by the in-house method, and NGS data were analyzed by BRCA-analyzer in comparison to another free automatic amplicon NGS workflow Canary. From total 137 pathogenic variations, BRCA-analyzer found 135 and Canary 123. Mutations were missed by BRCA-analyzer due to the trimming primer sequences from reads before mapping to be fixed in the next version. On the freely available NGS data, we showed that BRCA-analyzer could also be used for hybrid capture gene panels, although it needs more extensive testing on such library preparation methods. Thus, BRCA-analyzer is an automatic workflow for processing NGS data of BRCA1/2 genes with variant filters adapted to amplicon-based targeted NGS data. BRCA-analyzer can be used to identify germline as well as somatic mutations. BRCA-analyzer is freely available at https://github.com/aakechin/BRCA-analyzer.

AB - The use of targeted next-generation sequencing (NGS) provides great new opportunities for molecular and medical genetics. However, in order to take advantage of these opportunities, we need to have reliable tools for extracting the necessary information from the huge amount of data generated by NGS. Here we present our automatic multithreaded workflow for processing NGS data of BRCA1 and BRCA2 genes obtained with NGS technology named BRCA-analyzer. Optimizing it on the sequencing data of 899 samples from 693 patients, we were able to find the most reliable tools and adjust their parameters in such a way that all pathogenic variants found were confirmed by Sanger's sequencing. For 82 and 24 DNA samples from blood and formalin-fixed paraffin-embedded blocks, NGS libraries were prepared with GeneRead BRCA panel v2 (Qiagen). The reads obtained were processed with BRCA-analyzer and Qiagen GeneRead Data analysis workflow. In total 27 pathogenic variants were found and confirmed by Sanger's sequencing, with all of them determined with BRCA-analyzer. Qiagen GeneRead Data analysis discarded 5 true pathogenic variants due to their location in homopolymeric sequence stretches. For other 793 samples, libraries were prepared by the in-house method, and NGS data were analyzed by BRCA-analyzer in comparison to another free automatic amplicon NGS workflow Canary. From total 137 pathogenic variations, BRCA-analyzer found 135 and Canary 123. Mutations were missed by BRCA-analyzer due to the trimming primer sequences from reads before mapping to be fixed in the next version. On the freely available NGS data, we showed that BRCA-analyzer could also be used for hybrid capture gene panels, although it needs more extensive testing on such library preparation methods. Thus, BRCA-analyzer is an automatic workflow for processing NGS data of BRCA1/2 genes with variant filters adapted to amplicon-based targeted NGS data. BRCA-analyzer can be used to identify germline as well as somatic mutations. BRCA-analyzer is freely available at https://github.com/aakechin/BRCA-analyzer.

KW - Automatic workflow

KW - BRCA

KW - NGS tools

KW - Qiagen data analysis

KW - Gene Frequency

KW - Humans

KW - Male

KW - Workflow

KW - Genetic Variation

KW - High-Throughput Nucleotide Sequencing/methods

KW - BRCA2 Protein/genetics

KW - Base Sequence

KW - Genes, BRCA2

KW - Female

KW - Genes, BRCA1

KW - Mutation

KW - BRCA1 Protein/genetics

UR - http://www.scopus.com/inward/record.url?scp=85056161680&partnerID=8YFLogxK

U2 - 10.1016/j.compbiolchem.2018.10.012

DO - 10.1016/j.compbiolchem.2018.10.012

M3 - Article

C2 - 30408727

AN - SCOPUS:85056161680

VL - 77

SP - 297

EP - 306

JO - Computational Biology and Chemistry

JF - Computational Biology and Chemistry

SN - 1476-9271

ER -

ID: 17409495