_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.

API method:

GET /api/packages?search=hello&page=1&limit=20

where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned in response headers.

If you'd like to join our channel webring send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


python-anvio 8
Propagated dependencies: python-bottle@0.13.4 python-colored@2.3.0 python-django@5.2.8 python-ete3@3.1.3 python-illumina-utils@2.13 python-matplotlib@3.8.2 python-mistune@3.1.3 python-multiprocess@0.70.18 python-networkx@3.4.2 python-numba@0.61.0 python-numpy@1.26.4 python-pandas@2.2.3 python-paste@3.10.1 python-plotext@5.2.8 python-psutil@7.0.0 python-pyani@0.2.12 python-pysam@0.23.0 python-requests@2.32.5 python-rich-argparse@1.7.1 python-scikit-learn@1.7.0 python-scipy@1.12.0 python-six@1.17.0 python-statsmodels@0.14.4 python-tabulate@0.9.0 snakemake@8.29.2
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://anvio.org
Licenses: GPL 3+
Build system: pyproject
Synopsis: Analysis and visualization platform for 'omics data
Description:

Anvi’o is a comprehensive platform that brings together many aspects of today’s computational strategies of data-enabled microbiology, including genomics, metagenomics, metatranscriptomics, pangenomics, metapangenomics, phylogenomics, and microbial population genetics in an integrated and easy-to-use fashion through extensive interactive visualization capabilities.

last 1080
Dependencies: zlib@1.3.1
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: http://last.cbrc.jp/
Licenses: GPL 3
Build system: gnu
Synopsis: Genome-scale sequence comparison
Description:
pcap-core 3.5.0
Propagated dependencies: bwa@0.7.18 samtools@1.19 biobambam@0.0.191
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://github.com/ICGC-TCGA-PanCancer/PCAP-core
Licenses: GPL 2+
Build system: gnu
Synopsis: NGS reference implementations and helper code for the ICGC/TCGA Pan-Cancer Analysis Project
Description:
perl-forks 0.36
Propagated dependencies: perl-acme-damn@0.08 perl-devel-symdump@2.18 perl-list-moreutils@0.430 perl-sys-sigaction@0.23
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: http://search.cpan.org/dist/forks
Licenses: GPL 1+
Build system: perl
Synopsis: forks - emulate threads with fork
Description:
star 2.4.2a
Dependencies: htslib@1.21 zlib@1.3.1
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://github.com/alexdobin/STAR
Licenses: GPL 3+
Build system: gnu
Synopsis: Universal RNA-seq aligner
Description:

The Spliced Transcripts Alignment to a Reference (STAR) software is based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure. In addition to unbiased de novo detection of canonical junctions, STAR can discover non-canonical splices and chimeric (fusion) transcripts, and is also capable of mapping full-length RNA sequences.

sharc 1.0-slurm
Dependencies: gawk@5.3.0 bash@5.2.37 coreutils@9.1 emboss@6.5.7 grep@3.11 qsub-slurm@0.0.7 minimap2@2.28 primer3@2.6.1 perl@5.36.0 python@3.11.14 python-aniso8601@10.0.1 python-certifi@2025.06.15 python-chardet@5.2.0 python-configparser@7.2.0 python-flask@3.1.0 python-flask-restful@0.3.10 python-idna@3.10 python-itsdangerous@2.2.0 python-jinja2@3.1.2 python-markupsafe@3.0.2 nanosv@1.2.4 python-pymongo@4.14.0 python-pysam@0.23.0 python-pytz@2025.1 python-pyvcf3@1.0.3-0.1fb3789 python-requests@2.32.5 python-six@1.17.0 python-urllib3@2.5.0 python-werkzeug@3.1.3 python2@2.7.18 r-minimal@4.5.2 r-ggplot2@4.0.1 r-randomforest@4.7-1.2 r-rocr@1.0-11 sambamba@0.8.2 sed@4.9 gnomad-sv-sites@2.1
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://github.com/UMCUGenetics/SHARC
Licenses: GPL 3
Build system: gnu
Synopsis: Somatic SV pipeline for tumor-only Nanopore sequencing data
Description:

SHARC is a pipeline for somatic SV calling and filtering from tumor-only Nanopore sequencing data. It performs mapping, SV calling, SV filtering, random forest classification, blacklist filtering and SV prioritization, followed by automated primer design for PCR amplicons of 80-120 bp that are useful to track cancer ctDNA molecules in liquid biopsies.

perl-term-ui 0.50
Propagated dependencies: perl-log-message-simple@0.10
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: http://search.cpan.org/dist/Term-UI
Licenses: GPL 1+
Build system: perl
Synopsis: User interfaces via Term::ReadLine made easy
Description:
spoa 4.1.5
Dependencies: bioparser@3.1.0 biosoup@0.11.0
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://github.com/rvaser/spoa
Licenses: Expat
Build system: cmake
Synopsis: C++ implementation of partial order alignment
Description:

Spoa (SIMD POA) is a c++ implementation of the partial order alignment (POA) algorithm, which is used to generate consensus sequences. It supports three alignment modes: local (Smith-Waterman), global (Needleman-Wunsch) and semi-global alignment (overlap), and three gap modes: linear, affine and convex (piecewise affine).

perl-ppi 1.277
Dependencies: perl-clone@0.43 perl-io-string@1.08 perl-list-moreutils@0.430 perl-params-util@1.102 perl-task-weaken@1.06
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: http://search.cpan.org/dist/PPI
Licenses: GPL 1+
Build system: perl
Synopsis: Parse, Analyze and Manipulate Perl (without perl)
Description:
r-rblast 0.99.4-1.2319817
Dependencies: blast+@2.17.0
Propagated dependencies: r-biostrings@2.78.0
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://github.com/mhahsler/rBLAST
Licenses: GPL 3
Build system: r
Synopsis: R Interface for the Basic Local Alignment Search Tool
Description:

This package provides an interface for the Basic Local Alignment Search Tool (BLAST) to search genetic sequence data bases. This includes interfaces to blastn, blastp, blastx, and makeblastdb.

libmaus 0.0.196
Dependencies: zlib@1.3.1
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://github.com/gt1/libmaus
Licenses: GPL 3+
Build system: gnu
Synopsis: Collection of bioinformatics data structures and algorithms
Description:

This package contains a collection of bioinformatics data structures and algorithms. It provides I/O classes, bitio classes, text indexing classes and BAM sequence alignment functionality.

fastq-tools 0.8.3
Dependencies: pcre@8.45 zlib@1.3.1
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://homes.cs.washington.edu/~dcjones/fastq-tools/
Licenses: Expat
Build system: gnu
Synopsis: Tools to work with FASTQ files
Description:

This packages provides a collection of small and efficient programs for performing some common and uncommon tasks with FASTQ files.

r-scriabin 0.0.0.9000-1.313d15e
Propagated dependencies: r-ade4@1.7-23 r-cellid@1.18.0 r-circlize@0.4.16 r-clipr@0.8.0 r-complexheatmap@2.26.0 r-complexheatmap@2.26.0 r-cowplot@1.2.0 r-dplyr@1.1.4 r-factoextra@1.0.7 r-fsa@0.10.0 r-genefilter@1.92.0 r-ggalluvial@0.12.5 r-ggfittext@0.10.2 r-ggplot2@4.0.1 r-ggsci@4.1.0 r-limma@3.66.0 r-magrittr@2.0.4 r-matrix@1.7-4 r-matrixstats@1.5.0 r-networkd3@0.4.1 r-nichenetr@2.0.4 r-pbapply@1.7-4 r-qlcmatrix@0.9.9 r-scales@1.4.0 r-scater@1.38.0 r-seurat@5.3.1 r-tibble@3.3.0 r-tidyft@0.9.20 r-wgcna@1.73
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://github.com/BlishLab/scriabin
Licenses: Expat
Build system: r
Synopsis: Single-cell resolved interaction analysis through binning
Description:

Scriabin aims to provide a comprehensive view of cell-cell communication (CCC). It achieves this without requiring subsampling or aggregation.

perl-findbin-libs 2.15
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: http://search.cpan.org/dist/FindBin-libs
Licenses: GPL 1+
Build system: perl
Synopsis:
Description:
perl-parallel-iterator 1.00
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: http://search.cpan.org/dist/Parallel-Iterator
Licenses: GPL 1+
Build system: perl
Synopsis: Simple parallel execution
Description:
perl-sys-sigaction 0.23
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: http://search.cpan.org/dist/Sys-SigAction
Licenses: GPL 1+
Build system: perl
Synopsis: Perl extension for Consistent Signal Handling
Description:
python-mellon 1.6.1
Propagated dependencies: python-jax@0.4.28 python-jaxopt@0.8.3 python-pynndescent@0.5.13 python-scikit-learn@1.7.0
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://github.com/settylab/mellon
Licenses: GPL 3
Build system: pyproject
Synopsis: Non-parametric cell-state density estimator
Description:

Mellon is a non-parametric cell-state density estimator based on a nearest-neighbors-distance distribution. It uses a sparse gaussian process to produce a differntiable density function that can be evaluated out of sample.

perl-ppi-html 1.08
Dependencies: perl-css-tiny@1.20 perl-params-util@1.102 perl-ppi@1.277
Propagated dependencies: perl-module-install@1.19
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: http://search.cpan.org/dist/PPI-HTML
Licenses: GPL 1+
Build system: perl
Synopsis: Generate syntax-hightlighted HTML for Perl using PPI
Description:
sharc 1.0-local
Dependencies: gawk@5.3.0 bash@5.2.37 coreutils@9.1 emboss@6.5.7 grep@3.11 qsub-local@0.0.1 minimap2@2.28 primer3@2.6.1 perl@5.36.0 python@3.11.14 python-aniso8601@10.0.1 python-certifi@2025.06.15 python-chardet@5.2.0 python-configparser@7.2.0 python-flask@3.1.0 python-flask-restful@0.3.10 python-idna@3.10 python-itsdangerous@2.2.0 python-jinja2@3.1.2 python-markupsafe@3.0.2 nanosv@1.2.4 python-pymongo@4.14.0 python-pysam@0.23.0 python-pytz@2025.1 python-pyvcf3@1.0.3-0.1fb3789 python-requests@2.32.5 python-six@1.17.0 python-urllib3@2.5.0 python-werkzeug@3.1.3 python2@2.7.18 r-minimal@4.5.2 r-ggplot2@4.0.1 r-randomforest@4.7-1.2 r-rocr@1.0-11 sambamba@0.8.2 sed@4.9 gnomad-sv-sites@2.1
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://github.com/UMCUGenetics/SHARC
Licenses: GPL 3
Build system: gnu
Synopsis: Somatic SV pipeline for tumor-only Nanopore sequencing data
Description:

SHARC is a pipeline for somatic SV calling and filtering from tumor-only Nanopore sequencing data. It performs mapping, SV calling, SV filtering, random forest classification, blacklist filtering and SV prioritization, followed by automated primer design for PCR amplicons of 80-120 bp that are useful to track cancer ctDNA molecules in liquid biopsies.

python-formulaic-contrasts 1.0.0
Propagated dependencies: python-formulaic@1.0.1 python-pandas@2.2.3 python-session-info@1.0.0
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://github.com/scverse/formulaic-contrasts
Licenses: Modified BSD
Build system: pyproject
Synopsis: Build contrasts for models defined with formulaic
Description:

Build contrasts for models defined with formulaic.

python-nanostat 1.4.0
Propagated dependencies: python-nanoget@1.19.4 python-nanomath@1.0.1
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://github.com/wdecoster/nanostat
Licenses: GPL 3
Build system: pyproject
Synopsis: Statistics for Oxford Nanopore sequencing data and alignments
Description:

This package provides procedures to calculate statistics for Oxford Nanopore sequencing data and alignments.

gnomad-sv-sites 2.1
Dependencies: gzip@1.14
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://gnomad.broadinstitute.org
Licenses: CC0
Build system: trivial
Synopsis: gnomAD structural variant sites
Description:

This package provides in uncompressed version of the gnomAD structural variant sites.

strelka 2.9.2
Dependencies: boost@1.89.0 perl@5.36.0 bash@5.2.37 zlib@1.3.1 samtools@1.19 rapidjson@1.1.0-1.949c771 codemin@1.0.5 curl@8.6.0 xz@5.4.5 openssl@3.0.8 samtools@0.1.19 zlib@1.3.1 python@3.11.14
Propagated dependencies: vcftools@0.1.16 htslib@1.21
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://github.com/Illumina/strelka
Licenses: GPL 3+
Build system: cmake
Synopsis: Small variant caller
Description:

Strelka2 is a fast and accurate small variant caller optimized for analysis of germline variation in small cohorts and somatic variation in tumor/normal sample pairs. The germline caller employs an efficient tiered haplotype model to improve accuracy and provide read-backed phasing, adaptively selecting between assembly and a faster alignment-based haplotyping approach at each variant locus. The germline caller also analyzes input sequencing data using a mixture-model indel error estimation method to improve robustness to indel noise. The somatic calling model improves on the original Strelka method for liquid and late-stage tumor analysis by accounting for possible tumor cell contamination in the normal sample. A final empirical variant re-scoring step using random forest models trained on various call quality features has been added to both callers to further improve precision.

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Total results: 68368