Identifying and mitigating batch effects in whole genome sequencing data
Author:
Funder
Genentech
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology
Link
http://link.springer.com/content/pdf/10.1186/s12859-017-1756-z.pdf
Reference54 articles.
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3. Leek JT. Svaseq: removing batch effects and other unwanted noise from sequencing data. Nucleic Acids Res. 2014;42(21):e161.
4. Taub M, Corrada Bravo H, Irizarry R. Overcoming bias and systematic errors in next generation sequencing data. Genome Medicine. 2010;2(12):87.
5. Hong H, Su Z, Ge W, Shi L, Perkins R, Fang H, et al. Assessing batch effects of genotype calling algorithm BRLMM for the Affymetrix genechip human mapping 500 k array set using 270 HapMap samples. BMC Bioinformatics. 2008;9(Suppl 9):S17.
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