An integrative variant analysis suite for whole exome next-generation sequencing data

被引:202
|
作者
Challis, Danny [2 ]
Yu, Jin [2 ]
Evani, Uday S. [2 ]
Jackson, Andrew R. [1 ]
Paithankar, Sameer [1 ]
Coarfa, Cristian [1 ]
Milosavljevic, Aleksandar [1 ]
Gibbs, Richard A. [1 ,2 ]
Yu, Fuli [1 ,2 ]
机构
[1] Baylor Coll Med, Dept Mol & Human Genet, Houston, TX 77030 USA
[2] Baylor Coll Med, Human Genome Sequencing Ctr, Houston, TX 77030 USA
来源
BMC BIOINFORMATICS | 2012年 / 13卷
基金
美国国家卫生研究院;
关键词
DISCOVERY; CAPTURE; FORMAT;
D O I
10.1186/1471-2105-13-8
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Background: Whole exome capture sequencing allows researchers to cost-effectively sequence the coding regions of the genome. Although the exome capture sequencing methods have become routine and well established, there is currently a lack of tools specialized for variant calling in this type of data. Results: Using statistical models trained on validated whole-exome capture sequencing data, the Atlas2 Suite is an integrative variant analysis pipeline optimized for variant discovery on all three of the widely used next generation sequencing platforms (SOLiD, Illumina, and Roche 454). The suite employs logistic regression models in conjunction with user-adjustable cutoffs to accurately separate true SNPs and INDELs from sequencing and mapping errors with high sensitivity (96.7%). Conclusion: We have implemented the Atlas2 Suite and applied it to 92 whole exome samples from the 1000 Genomes Project. The Atlas2 Suite is available for download at http://sourceforge.net/projects/atlas2/. In addition to a command line version, the suite has been integrated into the Genboree Workbench, allowing biomedical scientists with minimal informatics expertise to remotely call, view, and further analyze variants through a simple web interface. The existing genomic databases displayed via the Genboree browser also streamline the process from variant discovery to functional genomics analysis, resulting in an off-the-shelf toolkit for the broader community.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] Next-generation sequencing: impact of exome sequencing in characterizing Mendelian disorders
    Bahareh Rabbani
    Nejat Mahdieh
    Kazuyoshi Hosomichi
    Hirofumi Nakaoka
    Ituro Inoue
    Journal of Human Genetics, 2012, 57 : 621 - 632
  • [32] Replicate exome-sequencing in a multiple-generation family: improved interpretation of next-generation sequencing data
    Praveen F. Cherukuri
    Valerie Maduro
    Karin V. Fuentes-Fajardo
    Kevin Lam
    David R. Adams
    Cynthia J. Tifft
    James C. Mullikin
    William A. Gahl
    Cornelius F. Boerkoel
    BMC Genomics, 16
  • [33] Next-generation sequencing: impact of exome sequencing in characterizing Mendelian disorders
    Rabbani, Bahareh
    Mahdieh, Nejat
    Hosomichi, Kazuyoshi
    Nakaoka, Hirofumi
    Inoue, Ituro
    JOURNAL OF HUMAN GENETICS, 2012, 57 (10) : 621 - 632
  • [34] Benchmarking variant callers in next-generation and third-generation sequencing analysis
    Pei, Surui
    Liu, Tao
    Ren, Xue
    Li, Weizhong
    Chen, Chongjian
    Xie, Zhi
    BRIEFINGS IN BIOINFORMATICS, 2021, 22 (03)
  • [35] Next-generation sequencing data analysis on cloud computing
    Kwon, Taesoo
    Yoo, Won Gi
    Lee, Won-Ja
    Kim, Won
    Kim, Dae-Won
    GENES & GENOMICS, 2015, 37 (06) : 489 - 501
  • [36] Extending KNIME for next-generation sequencing data analysis
    Jagla, Bernd
    Wiswedel, Bernd
    Coppee, Jean-Yves
    BIOINFORMATICS, 2011, 27 (20) : 2907 - 2909
  • [37] Next-generation sequencing data analysis on cloud computing
    Taesoo Kwon
    Won Gi Yoo
    Won-Ja Lee
    Won Kim
    Dae-Won Kim
    Genes & Genomics, 2015, 37 : 489 - 501
  • [38] WHOLE EXOME NEXT-GENERATION SEQUENCING IDENTIFIES NOVEL DISEASE GENES IN PRIMARY VASCULAR ANEURYSMS
    D'souza, R. S.
    Gowan, K.
    Graw, S.
    Jones, K.
    Taylor, M.
    JOURNAL OF INVESTIGATIVE MEDICINE, 2014, 62 (01) : 145 - 145
  • [39] Whole Exome Analysis of Myelodysplastic Syndromes Using Next-Generation Resequencing Technology
    Yoshida, Kenichi
    Sanada, Masashi
    Nagata, Yasunobu
    Kawahata, Ryoichiro
    Kato, Motohiro
    Matsubara, Aiko
    Takita, Jyunko
    Mori, Hiraku
    Ishiyama, Ken
    Ishikawa, Takayuki
    Miyawaki, Shuichi
    Obara, Naoshi
    Chiba, Shigeru
    Ogawa, Seishi
    BLOOD, 2010, 116 (21) : 134 - 134
  • [40] NGS Variant Manager - The Ultimate Tool for Analysis of High Throughput Next-Generation Sequencing Data
    Oultache, A.
    Chenni, A. E.
    Hedvat, C. V.
    Nafa, K.
    JOURNAL OF MOLECULAR DIAGNOSTICS, 2013, 15 (06): : 933 - 933