The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Provides methods for high-throughput adaptive immune receptor repertoire sequencing (AIRR-Seq; Rep-Seq) analysis. In particular, immunoglobulin (Ig) sequence lineage reconstruction, lineage topology analysis, diversity profiling, amino acid property analysis and gene usage. Citations: Gupta and Vander Heiden, et al (2017) <doi:10.1093/bioinformatics/btv359>, Stern, Yaari and Vander Heiden, et al (2014) <doi:10.1126/scitranslmed.3008879>.
Version: | 1.3.0 |
Depends: | R (≥ 4.0), ggplot2 (≥ 3.4.0) |
Imports: | airr (≥ 1.4.1), ape, dplyr (≥ 1.0), graphics, grid, igraph (≥ 1.5.0), Matrix (≥ 1.3-0), methods, progress, Rcpp (≥ 0.12.12), readr, rlang, scales, seqinr, stats, stringi, tibble, tidyr (≥ 1.0), utils, Biostrings (≥ 2.56.0), GenomicAlignments (≥ 1.24.0), IRanges (≥ 2.22.2) |
LinkingTo: | Rcpp |
Suggests: | knitr, rmarkdown, testthat |
Published: | 2023-09-30 |
DOI: | 10.32614/CRAN.package.alakazam |
Author: | Susanna Marquez [cre, aut], Namita Gupta [aut], Nima Nouri [aut], Ruoyi Jiang [aut], Julian Zhou [aut], Kenneth Hoehn [aut], Daniel Gadala-Maria [ctb], Edel Aron [ctb], Cole Jensen [ctb], Jason Vander Heiden [aut], Steven Kleinstein [aut, cph] |
Maintainer: | Susanna Marquez <susanna.marquez at yale.edu> |
BugReports: | https://bitbucket.org/kleinstein/alakazam/issues |
License: | AGPL-3 |
URL: | https://alakazam.readthedocs.io/ |
NeedsCompilation: | yes |
Citation: | alakazam citation info |
Materials: | README NEWS |
In views: | Omics |
CRAN checks: | alakazam results |
Reference manual: | alakazam.pdf |
Vignettes: |
Amino acid property analysis Diversity analysis Fastq File input and output Gene usage analysis Lineage reconstruction Topology analysis |
Package source: | alakazam_1.3.0.tar.gz |
Windows binaries: | r-devel: alakazam_1.3.0.zip, r-release: alakazam_1.3.0.zip, r-oldrel: alakazam_1.3.0.zip |
macOS binaries: | r-release (arm64): alakazam_1.3.0.tgz, r-oldrel (arm64): alakazam_1.3.0.tgz, r-release (x86_64): alakazam_1.3.0.tgz, r-oldrel (x86_64): alakazam_1.3.0.tgz |
Old sources: | alakazam archive |
Reverse imports: | dowser, ogrdbstats, scoper, shazam, tigger, UniprotR |
Please use the canonical form https://CRAN.R-project.org/package=alakazam to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.