Effective filtering strategies to improve data quality from population-based whole exome sequencing studies.

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Effective filtering strategies to improve data quality from population-based whole exome sequencing studies. is …
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scholarly articleQ13442814

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P8978DBLP publication IDjournals/bmcbi/CarsonSMBJHF14
P6179Dimensions Publication ID1040883851
P356DOI10.1186/1471-2105-15-125
P932PMC publication ID4098776
P698PubMed publication ID24884706
P5875ResearchGate publication ID262810195

P50authorKelly A. FrazerQ72345870
Sigrid Kufaas BrækkanQ113455627
P2093author name stringKristen Jepsen
Andrew R Carson
John-Bjarne Hansen
Erin N Smith
Hiroko Matsui
P2860cites workA flexible and accurate genotype imputation method for the next generation of genome-wide association studiesQ21129496
Whole-genome DNA/RNA sequencing identifies truncating mutations in RBCK1 in a novel Mendelian disease with neuromuscular and cardiac involvementQ21183963
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Extremely low-coverage sequencing and imputation increases power for genome-wide association studiesQ41882858
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Exome sequencing identifies the cause of a mendelian disorderQ24607742
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P407language of work or nameEnglishQ1860
P921main subjectdata qualityQ1757694
P304page(s)125
P577publication date2014-05-02
P1433published inBMC BioinformaticsQ4835939
P1476titleEffective filtering strategies to improve data quality from population-based whole exome sequencing studies
P478volume15