New Results
Bartender: an ultrafast and accurate clustering algorithm to count barcode and amplicon reads
Lu Zhao, Zhimin Liu, Sasha F. Levy, Song Wu
doi: https://doi.org/10.1101/068916
Lu Zhao
1Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794
Zhimin Liu
2Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794, USA
3Department of Biochemistry and Cell Biology, Stony Brook University, Stony Brook, New York 11794, USA
Sasha F. Levy
2Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794, USA
3Department of Biochemistry and Cell Biology, Stony Brook University, Stony Brook, New York 11794, USA
Song Wu
1Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794
Article usage
Posted August 10, 2016.
Bartender: an ultrafast and accurate clustering algorithm to count barcode and amplicon reads
Lu Zhao, Zhimin Liu, Sasha F. Levy, Song Wu
bioRxiv 068916; doi: https://doi.org/10.1101/068916
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)