A study on fast calling variants from next-generation sequencing data using decision tree

被引：0
作者：
Zhentang Li
Yi Wang
Fei Wang
机构：
[1] Shanghai Key Lab of Intelligent Information Processing,
[2] School of Computer Science and Technology,undefined
[3] Fudan University,undefined
[4] MOE Key Laboratory of Contemporary Anthropology and State Key Laboratory of Genetic Engineering,undefined
[5] Collaborative Innovation Center of Genetics and Developmental Biology and School of Life Sciences,undefined
[6] Fudan University,undefined
来源：
BMC Bioinformatics | / 19卷
关键词：
Next-generation sequencing; Variant calling; Decision tree;
D O I：
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[1]  
McKenna A(2010)The genome analysis toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data Genome Res 20 1297-1303
[2]  
Li H(2008)Mapping short DNA sequencing reads and calling variants using mapping quality scores Genome Res 18 1851-1858
[3]  
Ruan J(2009)The Sequence Alignment/Map format and SAMtools Bioinformatics 25 2078-2079
[4]  
Durbin R(2014)Integrating mapping-, assembly- and haplotype-based approaches for calling variants in clinical sequencing applications Nat Genet 46 912-918
[5]  
Li H(2011)Dindel: accurate indel calls from short-read data Genome Res 21 961-973
[6]  
Rimmer A(2011)A framework for variation discovery and genotyping using next-generation DNA sequencing data Nat Genet 43 491-498
[7]  
Albers CA(2016)SNooPer: a machine learning-based method for somatic variant identification from low-pass next-generation sequencing BMC Genomics 17 912-355
[8]  
DePristo MA(2000)dbSNP: a database of single nucleotide polymorphisms Nucleic Acids Res 28 352-2158
[9]  
Spinella JF(2011)The variant call format and VCFtools Bioinformatics 27 2156-1073
[10]  
Mehanna P(2012)An integrative variant analysis suite for whole exome next-generation sequencing data BMC Bioinformatics 13 8-251
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