Fan Zhang1, Hyun Min Kang2. 1. Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, 100 Washington Ave, Ann Arbor, MI 48109, USA. 2. Department of Biostatistics, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
Abstract
BACKGROUND: Rapid and thorough quality assessment of sequenced genomes on an ultra-high-throughput scale is crucial for successful large-scale genomic studies. Comprehensive quality assessment typically requires full genome alignment, which costs a substantial amount of computational resources and turnaround time. Existing tools are either computationally expensive owing to full alignment or lacking essential quality metrics by skipping read alignment. FINDINGS: We developed a set of rapid and accurate methods to produce comprehensive quality metrics directly from a subset of raw sequence reads (from whole-genome or whole-exome sequencing) without full alignment. Our methods offer orders of magnitude faster turnaround time than existing full alignment-based methods while providing comprehensive and sophisticated quality metrics, including estimates of genetic ancestry and cross-sample contamination. CONCLUSIONS: By rapidly and comprehensively performing the quality assessment, our tool will help investigators detect potential issues in ultra-high-throughput sequence reads in real time within a low computational cost at the early stages of the analyses, ensuring high-quality downstream results and preventing unexpected loss in time, money, and invaluable specimens.
BACKGROUND: Rapid and thorough quality assessment of sequenced genomes on an ultra-high-throughput scale is crucial for successful large-scale genomic studies. Comprehensive quality assessment typically requires full genome alignment, which costs a substantial amount of computational resources and turnaround time. Existing tools are either computationally expensive owing to full alignment or lacking essential quality metrics by skipping read alignment. FINDINGS: We developed a set of rapid and accurate methods to produce comprehensive quality metrics directly from a subset of raw sequence reads (from whole-genome or whole-exome sequencing) without full alignment. Our methods offer orders of magnitude faster turnaround time than existing full alignment-based methods while providing comprehensive and sophisticated quality metrics, including estimates of genetic ancestry and cross-sample contamination. CONCLUSIONS: By rapidly and comprehensively performing the quality assessment, our tool will help investigators detect potential issues in ultra-high-throughput sequence reads in real time within a low computational cost at the early stages of the analyses, ensuring high-quality downstream results and preventing unexpected loss in time, money, and invaluable specimens.
Authors: Goo Jun; Matthew Flickinger; Kurt N Hetrick; Jane M Romm; Kimberly F Doheny; Gonçalo R Abecasis; Michael Boehnke; Hyun Min Kang Journal: Am J Hum Genet Date: 2012-10-25 Impact factor: 11.025
Authors: David M Altshuler; Richard A Gibbs; Leena Peltonen; David M Altshuler; Richard A Gibbs; Leena Peltonen; Emmanouil Dermitzakis; Stephen F Schaffner; Fuli Yu; Leena Peltonen; Emmanouil Dermitzakis; Penelope E Bonnen; David M Altshuler; Richard A Gibbs; Paul I W de Bakker; Panos Deloukas; Stacey B Gabriel; Rhian Gwilliam; Sarah Hunt; Michael Inouye; Xiaoming Jia; Aarno Palotie; Melissa Parkin; Pamela Whittaker; Fuli Yu; Kyle Chang; Alicia Hawes; Lora R Lewis; Yanru Ren; David Wheeler; Richard A Gibbs; Donna Marie Muzny; Chris Barnes; Katayoon Darvishi; Matthew Hurles; Joshua M Korn; Kati Kristiansson; Charles Lee; Steven A McCarrol; James Nemesh; Emmanouil Dermitzakis; Alon Keinan; Stephen B Montgomery; Samuela Pollack; Alkes L Price; Nicole Soranzo; Penelope E Bonnen; Richard A Gibbs; Claudia Gonzaga-Jauregui; Alon Keinan; Alkes L Price; Fuli Yu; Verneri Anttila; Wendy Brodeur; Mark J Daly; Stephen Leslie; Gil McVean; Loukas Moutsianas; Huy Nguyen; Stephen F Schaffner; Qingrun Zhang; Mohammed J R Ghori; Ralph McGinnis; William McLaren; Samuela Pollack; Alkes L Price; Stephen F Schaffner; Fumihiko Takeuchi; Sharon R Grossman; Ilya Shlyakhter; Elizabeth B Hostetter; Pardis C Sabeti; Clement A Adebamowo; Morris W Foster; Deborah R Gordon; Julio Licinio; Maria Cristina Manca; Patricia A Marshall; Ichiro Matsuda; Duncan Ngare; Vivian Ota Wang; Deepa Reddy; Charles N Rotimi; Charmaine D Royal; Richard R Sharp; Changqing Zeng; Lisa D Brooks; Jean E McEwen Journal: Nature Date: 2010-09-02 Impact factor: 49.962
Authors: A Martínez-Alcántara; E Ballesteros; C Feng; M Rojas; H Koshinsky; V Y Fofanov; P Havlak; Y Fofanov Journal: Bioinformatics Date: 2009-07-14 Impact factor: 6.937
Authors: Bingshan Li; Xiaowei Zhan; Mary-Kate Wing; Paul Anderson; Hyun Min Kang; Goncalo R Abecasis Journal: Biomed Res Int Date: 2013-11-11 Impact factor: 3.411
Authors: Fan Zhang; Matthew Flickinger; Sarah A Gagliano Taliun; Gonçalo R Abecasis; Laura J Scott; Steven A McCaroll; Carlos N Pato; Michael Boehnke; Hyun Min Kang Journal: Genome Res Date: 2020-01-24 Impact factor: 9.043