New Results
Multi-locus analysis of genomic time series data from experimental evolution
Jonathan Terhorst, Yun S. Song
doi: https://doi.org/10.1101/006734
Jonathan Terhorst
1Department of Statistics, University of California, Berkeley, CA, USA
Yun S. Song
1Department of Statistics, University of California, Berkeley, CA, USA
2Computer Science Division, University of California, Berkeley, CA, USA
3Department of Integrative Biology, University of California, Berkeley, CA, USA
Article usage
Posted June 28, 2014.
Multi-locus analysis of genomic time series data from experimental evolution
Jonathan Terhorst, Yun S. Song
bioRxiv 006734; doi: https://doi.org/10.1101/006734
Subject Area
Subject Areas
- Biochemistry (11700)
- Bioengineering (8715)
- Bioinformatics (29120)
- Biophysics (14927)
- Cancer Biology (12047)
- Cell Biology (17347)
- Clinical Trials (138)
- Developmental Biology (9405)
- Ecology (14140)
- Epidemiology (2067)
- Evolutionary Biology (18262)
- Genetics (12216)
- Genomics (16761)
- Immunology (11840)
- Microbiology (27999)
- Molecular Biology (11549)
- Neuroscience (60784)
- Paleontology (450)
- Pathology (1864)
- Pharmacology and Toxicology (3228)
- Physiology (4937)
- Plant Biology (10382)
- Synthetic Biology (2876)
- Systems Biology (7332)
- Zoology (1642)