New Results
clusTCR: a Python interface for rapid clustering of large sets of CDR3 sequences
View ORCID ProfileSebastiaan Valkiers, View ORCID ProfileMax Van Houcke, View ORCID ProfileKris Laukens, View ORCID ProfilePieter Meysman
doi: https://doi.org/10.1101/2021.02.22.432291
Sebastiaan Valkiers
1Adrem Data Lab, Department of Computer Science, University of Antwerp, 2020, Antwerp, Belgium
Max Van Houcke
1Adrem Data Lab, Department of Computer Science, University of Antwerp, 2020, Antwerp, Belgium
Kris Laukens
1Adrem Data Lab, Department of Computer Science, University of Antwerp, 2020, Antwerp, Belgium
Pieter Meysman
1Adrem Data Lab, Department of Computer Science, University of Antwerp, 2020, Antwerp, Belgium
Posted February 23, 2021.
clusTCR: a Python interface for rapid clustering of large sets of CDR3 sequences
Sebastiaan Valkiers, Max Van Houcke, Kris Laukens, Pieter Meysman
bioRxiv 2021.02.22.432291; doi: https://doi.org/10.1101/2021.02.22.432291
Subject Area
Subject Areas
- Biochemistry (11753)
- Bioengineering (8754)
- Bioinformatics (29205)
- Biophysics (14975)
- Cancer Biology (12102)
- Cell Biology (17414)
- Clinical Trials (138)
- Developmental Biology (9423)
- Ecology (14185)
- Epidemiology (2067)
- Evolutionary Biology (18309)
- Genetics (12246)
- Genomics (16805)
- Immunology (11870)
- Microbiology (28098)
- Molecular Biology (11598)
- Neuroscience (60979)
- Paleontology (452)
- Pathology (1871)
- Pharmacology and Toxicology (3238)
- Physiology (4960)
- Plant Biology (10427)
- Synthetic Biology (2886)
- Systems Biology (7341)
- Zoology (1651)