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

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 search send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


python-phenograph 1.5.7
Dependencies: louvain@0.2
Propagated dependencies: python-leidenalg@0.10.2 python-numpy@1.26.4 python-psutil@7.2.2 python-scikit-learn@1.7.2 python-scipy@1.16.3
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/dpeerlab/PhenoGraph.git
Licenses: Expat
Build system: pyproject
Synopsis: Graph-based clustering for high-dimensional single-cell data
Description:

PhenoGraph is a clustering method designed for high-dimensional single-cell data. It works by creating a graph representing phenotypic similarities between cells and then identifying communities in this graph.

flash 1.2.11
Dependencies: zlib@1.3.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: http://ccb.jhu.edu/software/FLASH/
Licenses: GPL 3+
Build system: gnu
Synopsis: Merge paired-end nucleotide reads from NGS experiments
Description:

FLASH (Fast Length Adjustment of SHort reads) is a tool to merge paired-end reads from next-generation sequencing experiments. FLASH is designed to merge pairs of reads when the original DNA fragments are shorter than twice the length of reads. The resulting longer reads can significantly improve genome assemblies. They can also improve transcriptome assembly when FLASH is used to merge RNA-seq data.

instrain 1.10.0-1.f172367
Propagated dependencies: python-biopython@1.86 python-h5py@3.15.1 python-lmfit@1.3.4 python-matplotlib@3.10.8 python-networkx@3.4.2 python-numpy@2.3.1 python-pandas@2.3.3 python-psutil@7.2.2 python-pysam@0.23.3 python-seaborn@0.13.2 python-tqdm@4.67.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/MrOlm/inStrain
Licenses: Expat
Build system: pyproject
Synopsis: Calculation of strain-level metrics
Description:

inStrain is a Python program for analysis of co-occurring genome populations from metagenomes that allows highly accurate genome comparisons, analysis of coverage, microdiversity, and linkage, and sensitive SNP detection with gene localization and synonymous non-synonymous identification.

python-pyfit-sne 1.2.1
Dependencies: fftw@3.3.10
Propagated dependencies: python-numpy@2.3.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/KlugerLab/pyFIt-SNE
Licenses: Original BSD
Build system: pyproject
Synopsis: FFT-accelerated Interpolation-based t-SNE
Description:

t-Stochastic Neighborhood Embedding (t-SNE) is a highly successful method for dimensionality reduction and visualization of high dimensional datasets. A popular implementation of t-SNE uses the Barnes-Hut algorithm to approximate the gradient at each iteration of gradient descent. This package is a Cython wrapper for FIt-SNE.

bppsuite 2.4.1
Dependencies: bpp-core@2.4.1 bpp-seq@2.4.1 bpp-phyl@2.4.1 bpp-popgen@2.4.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/BioPP
Licenses: CeCILL-C
Build system: cmake
Synopsis: Bioinformatics tools written with the Bio++ libraries
Description:

Bio++ is a set of C++ libraries for Bioinformatics, including sequence analysis, phylogenetics, molecular evolution and population genetics. This package provides command line tools using the Bio++ library.

python-genomic-regions 0.0.10
Propagated dependencies: python-future@1.0.0 python-intervaltree@3.1.0 python-numpy@2.3.1 python-pandas@2.3.3 python-pybedtools@0.12.0 python-pybigwig@0.3.25 python-pytest@9.0.2 python-msgpack-numpy@0.4.8 python-cython@3.1.7 python-msgpack@1.1.2 python-pysam@0.23.3
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://pypi.org/project/genomic-regions/
Licenses: Expat
Build system: pyproject
Synopsis: Consistently handle genomic regions
Description:

This package aims to simplify working with genomic region / interval data by providing a common interface that lets you access a wide selection of file types and formats for handling genomic region data---all using the same syntax.

r-hdwgcna 0.4.00-1.950b8c7
Propagated dependencies: r-dplyr@1.2.1 r-enrichr@3.4 r-geneoverlap@1.48.0 r-genomicranges@1.64.0 r-ggplot2@4.0.3 r-ggraph@2.2.2 r-ggrepel@0.9.8 r-harmony@2.0.3 r-igraph@2.3.1 r-matrix@1.7-5 r-proxy@0.4-29 r-seurat@5.5.0 r-tester@0.3.0 r-tidygraph@1.3.1 r-ucell@2.16.0 r-wgcna@1.74
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/smorabit/hdWGCNA
Licenses: GPL 3
Build system: r
Synopsis: Weighted gene co-expression network analysis
Description:

hdWGCNA is an R package for performing weighted gene co-expression network analysis in high dimensional -omics such as single-cell RNA-seq or spatial transcriptomics.

python-bx-python 0.14.0
Dependencies: zlib@1.3.1
Propagated dependencies: python-numpy@2.3.1 python-pyparsing@3.2.3
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/bxlab/bx-python
Licenses: Expat
Build system: pyproject
Synopsis: Tools for manipulating biological data
Description:

bx-python provides tools for manipulating biological data, particularly multiple sequence alignments.

python-cwl-upgrader 1.2.11
Propagated dependencies: python-ruamel.yaml@0.18.14 python-schema-salad@8.9.20251102115403
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/common-workflow-language/cwl-upgrader
Licenses: ASL 2.0
Build system: pyproject
Synopsis: CWL document upgrader
Description:

python-cwl-upgrader is a standalone upgrader for CWL documents from version draft-3, v1.0, and v1.1 to v1.2.

python-hclust2 1.0.0
Propagated dependencies: python-matplotlib@3.10.8 python-numpy@2.3.1 python-pandas@2.3.3 python-scipy@1.16.3
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/SegataLab/hclust2/
Licenses: Expat
Build system: pyproject
Synopsis: Plotting heat-maps for publications
Description:

Hclust2 is a handy tool for plotting heat-maps with several useful options to produce high quality figures that can be used in publications.

python-cwlformat 2022.02.18
Propagated dependencies: python-importlib-resources@6.5.2 python-ruamel.yaml@0.18.14
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/rabix/cwl-format
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Prettifier for CWL code
Description:

python-cwlformat is a specification and a reference implementation for a very opinionated CWL code formatter. It outputs CWL in a standardized YAML format.

pyscenic 0.12.1-2.06bafba
Propagated dependencies: python-aiohttp@3.11.18 python-arboreto@0.1.6-0.79f916b python-attrs@25.3.0 python-boltons@25.0.0 python-cloudpickle@3.1.0 python-ctxcore@0.2.0 python-cytoolz@1.0.1 python-dask@2025.11.0 python-diptest@0.11.0 python-distributed@2025.11.0 python-frozendict@2.4.6 python-fsspec@2026.1.0 python-interlap@0.2.7 python-llvmlite@0.45.0 python-loompy@3.0.8 python-multiprocessing-on-dill@3.5.0a4 python-networkx@3.4.2 python-numba@0.62.1 python-numexpr@2.14.1 python-numpy@2.3.1 python-pandas@2.3.3 python-pyarrow@24.0.0 python-pyyaml@6.0.2 python-requests@2.32.5 python-scikit-learn@1.7.2 python-scipy@1.16.3 python-setuptools@80.9.0 python-tqdm@4.67.1 python-umap-learn@0.5.11
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://scenic.aertslab.org/
Licenses: GPL 3+
Build system: pyproject
Synopsis: Single-Cell regulatory network inference and clustering
Description:

pySCENIC is a Python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene regulatory networks and cell types from single-cell RNA-seq data.

python-bcbio-gff 0.7.1
Propagated dependencies: python-biopython@1.86 python-six@1.17.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/chapmanb/bcbb/tree/master/gff
Licenses: non-copyleft
Build system: pyproject
Synopsis: Read and write GFF files with Biopython integration
Description:

This package lets you read and write files in Generic Feature Format (GFF) with Biopython integration.

python-mudata 0.3.2
Propagated dependencies: python-anndata@0.12.7 python-h5py@3.15.1 python-pandas@2.3.3
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/scverse/mudata
Licenses: Modified BSD
Build system: pyproject
Synopsis: Python package for multi-omics data analysis
Description:

Mudata is a Python package for multi-omics data analysis. It is designed to provide functionality to load, process, and store multimodal omics data.

python-dendropy 5.0.8
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://dendropy.org/
Licenses: Modified BSD
Build system: pyproject
Synopsis: Library for phylogenetics and phylogenetic computing
Description:

DendroPy is a library for phylogenetics and phylogenetic computing: reading, writing, simulation, processing and manipulation of phylogenetic trees (phylogenies) and characters.

ngshmmalign 0.1.1
Dependencies: boost@1.89.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/cbg-ethz/ngshmmalign/
Licenses: GPL 2+
Build system: cmake
Synopsis: Profile HMM aligner for NGS reads
Description:

ngshmmalign is a profile HMM aligner for NGS reads designed particularly for small genomes (such as those of RNA viruses like HIV-1 and HCV) that experience substantial biological insertions and deletions.

python-deeptools 3.5.6
Propagated dependencies: python-matplotlib@3.10.8 python-numpy@2.3.1 python-numpydoc@1.10.0 python-py2bit@0.3.3 python-pybigwig@0.3.25 python-pysam@0.23.3 python-scipy@1.16.3 python-deeptoolsintervals@0.1.9 python-plotly@5.24.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://pypi.org/project/deepTools/
Licenses: Modified BSD Expat
Build system: pyproject
Synopsis: Useful tools for exploring deep sequencing data
Description:

This package addresses the challenge of handling large amounts of data that are now routinely generated from DNA sequencing centers. deepTools contains useful modules to process the mapped reads data for multiple quality checks, creating normalized coverage files in standard bedGraph and bigWig file formats, that allow comparison between different files. Finally, using such normalized and standardized files, deepTools can create many publication-ready visualizations to identify enrichments and for functional annotations of the genome.

delly 1.7.3
Dependencies: boost@1.89.0 bzip2@1.0.8 htslib@1.21 zlib@1.3.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/dellytools/delly
Licenses: GPL 3+
Build system: gnu
Synopsis: Integrated structural variant prediction method
Description:

Delly is an integrated structural variant prediction method that can discover and genotype deletions, tandem duplications, inversions and translocations at single-nucleotide resolution in short-read massively parallel sequencing data. It uses paired-ends and split-reads to sensitively and accurately delineate genomic rearrangements throughout the genome.

cpat 3.0.5
Dependencies: r-minimal@4.6.0
Propagated dependencies: python-numpy@2.3.1 python-pysam@0.23.3
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://wlcb.oit.uci.edu/cpat/
Licenses: GPL 2+
Build system: pyproject
Synopsis: Alignment-free distinction between coding and noncoding RNA
Description:

CPAT is a method to distinguish coding and noncoding RNA by using a logistic regression model based on four pure sequence-based, linguistic features: ORF size, ORF coverage, Ficket TESTCODE, and Hexamer usage bias. Linguistic features based method does not require other genomes or protein databases to perform alignment and is more robust. Because it is alignment-free, it runs much faster and also easier to use.

ncbi-vdb 2.10.6
Dependencies: file@5.46 hdf5@1.10.9 java-ngs@2.10.5 libxml2@2.14.6 ngs-sdk@2.10.5
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/ncbi/ncbi-vdb
Licenses: Public Domain
Build system: gnu
Synopsis: Database engine for genetic information
Description:

The NCBI-VDB library implements a highly compressed columnar data warehousing engine that is most often used to store genetic information. Databases are stored in a portable image within the file system, and can be accessed/downloaded on demand across HTTP.

metal 2011-03-25
Dependencies: zlib@1.3.1 zlib@1.3.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: http://csg.sph.umich.edu/abecasis/Metal/
Licenses: Modified BSD
Build system: gnu
Synopsis: Facilitate meta-analysis of large datasets
Description:

METAL is a tool for meta-analysis genomewide association scans. METAL can combine either test statistics and standard errors or p-values across studies (taking sample size and direction of effect into account). METAL analysis is a convenient alternative to a direct analysis of merged data from multiple studies. It is especially appropriate when data from the individual studies cannot be analyzed together because of differences in ethnicity, phenotype distribution, gender or constraints in sharing of individual level data imposed. Meta-analysis results in little or no loss of efficiency compared to analysis of a combined dataset including data from all individual studies.

go-github-com-biogo-graph 0.0.0-20150317020928-057c1989faed
Propagated dependencies: go-gopkg-in-check-v1@1.0.0-20201130134442-10cb98267c6c
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/biogo/graph
Licenses: Modified BSD
Build system: go
Synopsis: Undirected graph analysis for biogo
Description:

The package graph implements graph manipulation functions.

eddylab-squid 1.9g
Dependencies: perl@5.36.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: http://eddylab.org/software.html
Licenses: GPL 2
Build system: gnu
Synopsis: C function library for sequence analysis
Description:

SQUID is Sean Eddy's personal library of C functions and utility programs for sequence analysis.

emboss 6.5.7
Dependencies: perl@5.36.0 libpng@1.6.39 gd@2.3.3 libx11@1.8.12 libharu@2.4.3 zlib@1.3.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://emboss.sourceforge.net
Licenses: GPL 2+
Build system: gnu
Synopsis: Molecular biology analysis suite
Description:

EMBOSS is the "European Molecular Biology Open Software Suite". EMBOSS is an analysis package specially developed for the needs of the molecular biology (e.g. EMBnet) user community. The software automatically copes with data in a variety of formats and even allows transparent retrieval of sequence data from the web. It also provides a number of libraries for the development of software in the field of molecular biology. EMBOSS also integrates a range of currently available packages and tools for sequence analysis into a seamless whole.

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