New Results
Novel metrics to measure coverage in whole exome sequencing datasets reveal local and global non-uniformity
Qingyu Wang, Cooduvalli S. Shashikant, Naomi S. Altman, Santhosh Girirajan
doi: https://doi.org/10.1101/051888
Qingyu Wang
1Bioinformatics and Genomics Program, The Huck Institutes of the Life Sciences;
2Department of Statistics;
Cooduvalli S. Shashikant
1Bioinformatics and Genomics Program, The Huck Institutes of the Life Sciences;
3Department of Molecular and Developmental Biology;
Naomi S. Altman
1Bioinformatics and Genomics Program, The Huck Institutes of the Life Sciences;
2Department of Statistics;
Santhosh Girirajan
1Bioinformatics and Genomics Program, The Huck Institutes of the Life Sciences;
4Department of Biochemistry and Molecular Biology; and
5Department of Anthropology, The Pennsylvania State University, University Park, PA16802
Article usage
Posted May 05, 2016.
Novel metrics to measure coverage in whole exome sequencing datasets reveal local and global non-uniformity
Qingyu Wang, Cooduvalli S. Shashikant, Naomi S. Altman, Santhosh Girirajan
bioRxiv 051888; doi: https://doi.org/10.1101/051888
Subject Area
Subject Areas
- Biochemistry (11718)
- Bioengineering (8724)
- Bioinformatics (29132)
- Biophysics (14936)
- Cancer Biology (12051)
- Cell Biology (17360)
- Clinical Trials (138)
- Developmental Biology (9406)
- Ecology (14146)
- Epidemiology (2067)
- Evolutionary Biology (18269)
- Genetics (12223)
- Genomics (16768)
- Immunology (11844)
- Microbiology (28016)
- Molecular Biology (11560)
- Neuroscience (60822)
- Paleontology (450)
- Pathology (1864)
- Pharmacology and Toxicology (3231)
- Physiology (4940)
- Plant Biology (10401)
- Synthetic Biology (2878)
- Systems Biology (7333)
- Zoology (1642)