New Results
Using image-based haplotype alignments to map global adaptation of SARS-CoV-2
Tom W. Ouellette, Jim Shaw, Philip Awadalla
doi: https://doi.org/10.1101/2021.01.13.426571
Tom W. Ouellette
1Ontario Institute for Cancer Research, Department of Computational Biology, Toronto, Ontario M5G 0A3, Canada
2Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada
Jim Shaw
3Department of Mathematics, University of Toronto, Toronto, Ontario, M5S 2E4, Canada
Philip Awadalla
1Ontario Institute for Cancer Research, Department of Computational Biology, Toronto, Ontario M5G 0A3, Canada
2Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada
4Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, M5T 3M7, Canada
Posted January 13, 2021.
Using image-based haplotype alignments to map global adaptation of SARS-CoV-2
Tom W. Ouellette, Jim Shaw, Philip Awadalla
bioRxiv 2021.01.13.426571; doi: https://doi.org/10.1101/2021.01.13.426571
Subject Area
Subject Areas
- Biochemistry (11703)
- Bioengineering (8718)
- Bioinformatics (29127)
- Biophysics (14930)
- Cancer Biology (12048)
- Cell Biology (17353)
- Clinical Trials (138)
- Developmental Biology (9406)
- Ecology (14143)
- Epidemiology (2067)
- Evolutionary Biology (18266)
- Genetics (12219)
- Genomics (16765)
- Immunology (11841)
- Microbiology (28003)
- Molecular Biology (11551)
- Neuroscience (60804)
- Paleontology (450)
- Pathology (1864)
- Pharmacology and Toxicology (3229)
- Physiology (4939)
- Plant Biology (10383)
- Synthetic Biology (2877)
- Systems Biology (7333)
- Zoology (1642)