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

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-tszip 0.3.1
Propagated dependencies: python-humanize@4.14.0 python-numpy@2.4.6 python-tskit@1.0.3 python-zarr@3.2.1
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://tskit.dev/software/tszip.html
Licenses: Expat
Build system: pyproject
Synopsis: Compression utilities for tree sequences
Description:

This package provides gzip-like compression for tskit tree sequences. Compression is lossless for supported tskit tree sequences.

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@3.12.12 python-aniso8601@10.0.1 python-certifi@2026.05.20 python-chardet@5.2.0 python-configparser@7.2.0 python-flask@3.1.3 python-flask-restful@0.3.10 python-idna@3.18 python-itsdangerous@2.2.0 python-jinja2@3.1.6 python-markupsafe@3.0.3 nanosv@1.2.4 python-pymongo@4.17.0 python-pysam@0.23.3 python-pytz@2025.1 python-pyvcf3@1.0.3-0.1fb3789 python-requests@2.34.2 python-six@1.17.0 python-urllib3@2.7.0 python-werkzeug@3.1.8 python2@2.7.18 r-minimal@4.6.1 r-ggplot2@4.0.3 r-randomforest@4.7-1.2 r-rocr@1.0-12 sambamba@1.0.1-0.dba65af 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-mellon 1.6.1
Propagated dependencies: python-jax@0.4.28 python-jaxopt@0.8.5 python-pynndescent@0.6.0 python-scikit-learn@1.9.0
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.

python-scikit-allel 1.3.13
Dependencies: htslib@1.21
Propagated dependencies: python-dask@2026.3.0 python-h5py@3.16.0 python-hmmlearn@0.3.3 python-matplotlib@3.10.9 python-numexpr@2.14.1 python-numpy@2.4.6 python-pandas@3.0.3 python-scikit-learn@1.9.0 python-scipy@1.17.1 python-seaborn@0.13.2-0.32088bb
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://scikit-allel.readthedocs.io/en/stable/
Licenses: Expat
Build system: pyproject
Synopsis: Explore and analyse genetic variation data
Description:

This package provides utilities for exploratory analysis of large scale genetic variation data.

python-newick 1.11.0
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://gitlab.mpcdf.mpg.de/dlce-eva/python-newick
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Python module to read and write the Newick format
Description:

This package provides a Python module to read and write the Newick format. In mathematics and phylogenetics, Newick tree format is a way of representing graph-theoretical trees with edge lengths using parentheses and commas.

python-sfsutils-popgen 1.1.3
Propagated dependencies: python-biopython@1.87 python-cyvcf2@0.31.2 python-jsonpickle@4.0.0 python-matplotlib@3.10.9 python-multiprocess@0.70.18 python-numpy@2.4.6 python-pandas@3.0.3 python-requests@2.34.2 python-scipy@1.17.1 python-seaborn@0.13.2-0.32088bb python-tqdm@4.67.1 python-tskit@1.0.3 python-zarr@3.2.1
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://sfsutils.readthedocs.io/en/latest/
Licenses: GPL 3+
Build system: pyproject
Synopsis: SFS parsing with site filtration and annotation
Description:

sfsutils is a package for parsing SFS, with support for versatile stratification, ancestral allele and site-degeneracy annotation, and filtering. Beyond the one-dimensional spectrum it also derives the joint SFS across several populations and the two-site SFS of linked pairs of sites, and reads from VCF files, VCF-Zarr stores, and tskit tree sequences (ARGs).

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:
python-pydeseq2 0.5.4
Propagated dependencies: python-anndata@0.13.0rc3 python-formulaic@1.2.2 python-formulaic-contrasts@1.0.0 python-matplotlib@3.10.9 python-numpy@2.4.6 python-pandas@3.0.3 python-scikit-learn@1.9.0 python-scipy@1.17.1
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://github.com/owkin/PyDESeq2
Licenses: Expat
Build system: pyproject
Synopsis: Python implementation of DESeq2
Description:

This package provides a python implementation of DESeq2.

cmaple 2.0.0
Dependencies: zlib@1.3.1
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://github.com/iqtree/cmaple/wiki/User-Manual
Licenses: GPL 2
Build system: cmake
Synopsis: MAximum Parsimonious Likelihood Estimation in C/C++
Description:

CMAPLE is a C++ reimplementation of MAPLE - a novel likelihood-based phylogenetic inference method for pandemic-scale epidemiological genomic data.

python-cogent3 2026.10.22
Propagated dependencies: python-charset-normalizer@3.4.7 python-citeable@2026.10.15 python-numba@0.66.0 python-numpy@2.4.6 python-pandas@3.0.3 python-plotly@6.8.0 python-scinexus@2026.10.12 python-scipy@1.17.1 python-stevedore@5.4.1 python-tqdm@4.67.1 python-typeguard@4.4.4 python-typing-extensions@4.15.0
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://cogent3.org/
Licenses: Modified BSD
Build system: pyproject
Synopsis: Comparative genomics toolkit
Description:

cogent3 is a Python library for the analysis of biological sequence data. We endeavour to provide a first-class experience within Jupyter notebooks, but the algorithms also support parallel execution on compute systems with 1000’s of processors.

python-fastdfe 1.5.0
Propagated dependencies: python-cyvcf2@0.31.2 python-jsonpickle@4.0.0 python-matplotlib@3.10.9 python-multiprocess@0.70.18 python-numpy@2.4.6 python-pandas@3.0.3 python-pyyaml@6.0.3 python-scipy@1.17.1 python-seaborn@0.13.2-0.32088bb python-sfsutils-popgen@1.1.3 python-tqdm@4.67.1 python-tskit@1.0.3 python-typing-extensions@4.15.0 python-zarr@3.2.1
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://fastdfe.readthedocs.io/en/latest/
Licenses: GPL 3+
Build system: pyproject
Synopsis: Fast and flexible inference of the distribution of fitness effects
Description:

fastdfe is a package for fast, flexible, and hierarchical inference of the DFE from SFS.

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.

python-diempy 1.0.4
Propagated dependencies: python-joblib@1.5.3 python-matplotlib@3.10.9 python-numba@0.66.0 python-numpy@2.4.6 python-pandas@3.0.3 python-pysam@0.23.3 python-scikit-allel@1.3.13
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://diempy.readthedocs.io/en/latest/intro.html
Licenses: GPL 3
Build system: pyproject
Synopsis: Diagnostic Index for the Expectation Maximization (diem) method
Description:

diemPy is a computational tool designed to polarize genomic data for hybrid zone analysis. The package implements an expectation-maximization (EM) algorithm to determine the optimal polarization of genetic markers, enabling researchers to identify and analyze patterns of introgression and hybridization in genomic datasets.

lsd2 2.4.1
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://iqtree.github.io/
Licenses: GPL 2
Build system: cmake
Synopsis: Fast dating using least-squares criteria and algorithms
Description:

This package provides a phylogeny dating method using least-squares algorithms and criteria.

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.

slim-simulator 5.2
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://messerlab.org/slim/
Licenses: GPL 3+
Build system: cmake
Synopsis: Forward-time population genetics simulator
Description:

SLiM is an evolutionary simulation framework that combines a powerful engine for population genetic simulations with the capability of modeling arbitrarily complex evolutionary scenarios.

perl-devel-cover 1.40
Propagated dependencies: perl-browser-open@0.04 perl-capture-tiny@0.48 perl-class-xsaccessor@1.19 perl-moo@1.007000 perl-namespace-clean@0.27 perl-parallel-iterator@1.00 perl-pod-coverage@0.23 perl-ppi-html@1.08 perl-template-toolkit@2.28 perl-test-differences@0.67 perl-tidy@20250912
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: http://search.cpan.org/dist/Devel-Cover
Licenses: GPL 1+
Build system: perl
Synopsis: Code coverage metrics for Perl
Description:

This module provides code coverage metrics for Perl. Code coverage metrics describe how thoroughly tests exercise code. By using Devel::Cover you can discover areas of code not exercised by your tests and determine which tests to create to increase coverage.

perl-prokka 1.14.6
Dependencies: aragorn@1.2.41 bioperl-minimal@1.7.0 blast+@2.17.0 findutils@4.10.0 hmmer@3.3.2 infernal@1.1.4 minced@0.3.2 parallel@20260822 perl@5.36.0 perl-data-dumper@2.183 perl-digest-md5@2.58 perl-findbin-libs@2.15 perl-module-build@0.4231 perl-scalar-list-utils@1.62 perl-time-piece@1.3401 perl-xml-simple@2.25 prodigal@2.6.3
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://github.com/tseemann/prokka
Licenses: GPL 3
Build system: gnu
Synopsis: Rapid prokaryotic genome annotation
Description:

This package provides tools for rapid prokaryotic genome annotation.

seqan 3.0.2
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://www.seqan.de
Licenses: Modified BSD
Build system: cmake
Synopsis: Library for nucleotide sequence analysis
Description:

SeqAn is a C++ library of efficient algorithms and data structures for the analysis of sequences with the focus on biological data. It contains algorithms and data structures for string representation and their manipulation, online and indexed string search, efficient I/O of bioinformatics file formats, sequence alignment, and more.

python-common 0.1.2
Channel: guix-science
Location: guix-science/packages/carputils.scm (guix-science packages carputils)
Home page: https://pypi.org/project/common
Licenses: Expat
Build system: pyproject
Synopsis: Common tools and data structures implemented in pure Python
Description:

This package is designed to help the scientist, engineer, statistician, etc., to construct appropriate experimental designs.

python-carputils 18.1-0.0b56f65
Propagated dependencies: python-numpy@2.4.6 python-ruamel.yaml@0.18.14 python-common@0.1.2 python-pydoe3@1.6.2 python-tables@3.11.1 python-scipy@1.17.1 python-matplotlib@3.10.9 python-pandas@3.0.3 python-six@1.17.0 python-dateutil@2.9.0
Channel: guix-science
Location: guix-science/packages/carputils.scm (guix-science packages carputils)
Home page: https://opencarp.org/about/opencarp-ecosystem#the-carputils-framework
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Python framework for access to openCARP
Description:

The carputils framework will be the optimal way to access openCARP for most users. This Python framework was developed to provide the means to easily encode in silico experiments including pre- and postprocessing. carputils will call the openCARP simulator.

python-pydoe3 1.6.2
Propagated dependencies: python-numpy@2.4.6 python-scipy@1.17.1
Channel: guix-science
Location: guix-science/packages/carputils.scm (guix-science packages carputils)
Home page: https://github.com/relf/pyDOE3
Licenses: Modified BSD
Build system: pyproject
Synopsis: Design of experiments for Python
Description:

This package is designed to help the scientist, engineer, statistician, etc., to construct appropriate experimental designs.

quantum-espresso 7.5
Dependencies: device-xlib@0.2.0-1.08558f7 fftw@3.3.10 hdf5-parallel-openmpi@1.14.6 scalapack@2.2.2 libmbd@0.12.8 libxc@5.1.5 openblas@0.3.31 openmpi@4.1.6 wannier90@3.1.0
Channel: guix-science
Location: guix-science/packages/chemistry.scm (guix-science packages chemistry)
Home page: https://www.quantum-espresso.org/
Licenses: GPL 2+
Build system: cmake
Synopsis: Electronic-structure calculations and materials modeling at the nanoscale
Description:

Quantum ESPRESSO is an integrated suite of Open-Source computer codes for electronic-structure calculations and materials modeling at the nanoscale. It is based on density-functional theory, plane waves, and pseudopotentials.

atomes 1.3.1
Dependencies: cairo@1.18.4 ffmpeg@8.1.1 gdk-pixbuf@2.44.5 glu@9.0.2 gtk@4.22.1 libcanberra@0.30 openmpi@4.1.6 pango@1.57.1
Channel: guix-science
Location: guix-science/packages/chemistry.scm (guix-science packages chemistry)
Home page: https://atomes.ipcms.fr/
Licenses: AGPL 3+
Build system: gnu
Synopsis: Software to analyse, visualize and create 3D atomistic models
Description:

Atomes is a toolbox developed to analyze, to visualize and to create/edit three-dimensional atomistic models. It offers a workspace that allows users to have many projects opened simultaneously.

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