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

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.


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.

python-pyrodigal-gv 0.3.2
Propagated dependencies: python-pyrodigal@3.6.3
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://github.com/althonos/pyrodigal-gv
Licenses: GPL 3
Build system: pyproject
Synopsis: Pyrodigal extension to predict genes in giant viruses
Description:
@code{Pyrodigal} is a Python module that provides Cython bindings to Prodigal, an efficient gene finding method for genomes and metagenomes based on dynamic programming. @code {pyrodigal-gv} is a small extension module for @code{pyrodigal} which distributes additional metagenomic models for giant viruses and viruses that use alternative genetic codes.
pcap-core 3.5.0
Propagated dependencies: bwa@0.7.19 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:
python-demes 0.2.3
Propagated dependencies: python-attrs@26.1.0 python-ruamel.yaml@0.18.14
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://popsim-consortium.github.io/demes-docs/latest/introduction.html
Licenses: ISC
Build system: pyproject
Synopsis: Tools for describing demographic models
Description:

The demes Python package provides an API for defining, parsing, and sharing Demes demographic models. Applications can use demes to parse human-readable Demes YAML files into fully-resolved demographic models. In addition, demes provides convenient data structures to simplify manipulation of demographic models.

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:
python-primer3-py 2.2.0
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://libnano.github.io/primer3-py/
Licenses: GPL 2
Build system: pyproject
Synopsis: Simple oligo analysis and primer design
Description:

Primer3-py is a Python-abstracted API for the popular Primer3 library. The intention is to provide a simple and reliable interface for automated oligo analysis and design.

Primer3-py also includes bindings for the Primer3 primer design engine if you’d prefer to use an established pipeline. The IO parameters mirror those of the original Primer3, but you don’t have to deal with messy and slow file IO for your automated workflows.

python-bio2zarr 0.2.1
Propagated dependencies: python-click@8.4.1 python-coloredlogs@15.0.1 python-cyvcf2@0.31.2 python-humanfriendly@10.0 python-numpy@2.4.6 python-pandas@3.0.3 python-tabulate@0.9.0 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://sgkit-dev.github.io/bio2zarr/intro.html
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Convert bioinformatics data to Zarr
Description:

bio2zarr efficiently converts common bioinformatics formats to Zarr format.

Tools:

  • vcf2zarr converts VCF data to VCF Zarr format;

  • plink2zarr converts PLINK 1.0 data to VCF Zarr format;

  • tskit2zarr converts tskit data into VCF Zarr format;

  • vcfpartition is a utility to split an input VCF into a given number of partitions;

  • zipzarr is a utility for zipping/unzipping Zarr directory stores.

python-tstrait 0.2.0
Propagated dependencies: python-numba@0.66.0 python-numpy@2.4.6 python-pandas@3.0.3 python-tskit@1.0.3
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://tskit.dev/software/tstrait.html
Licenses: Expat
Build system: pyproject
Synopsis: Quantitative trait simulation of tree sequence data
Description:

tstrait is a Python package to simulate quantitative traits from a given tree sequence.

python-pycoqc 2.5.2
Propagated dependencies: python-h5py@3.16.0 python-jinja2@3.1.6 python-numpy@2.4.6 python-pandas@3.0.3 python-plotly@6.8.0 python-pysam@0.23.3 python-scipy@1.17.1 python-tqdm@4.67.1
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://a-slide.github.io/pycoQC/
Licenses: GPL 3
Build system: pyproject
Synopsis: QC plots for Nanopore basecallers
Description:

This package computes metrics and generates Interactive QC plots from the sequencing summary report generated by Oxford Nanopore technologies basecaller.

python-formulaic-contrasts 1.0.0
Propagated dependencies: python-formulaic@1.2.2 python-pandas@3.0.3 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.

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:
python-pcangsd 1.36.4
Propagated dependencies: python-numpy@2.4.6 python-scipy@1.17.1
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://github.com/Rosemeis/pcangsd
Licenses: GPL 3
Build system: pyproject
Synopsis: Framework for analyzing low-depth NGS data using PCA
Description:

Framework for analyzing low-depth NGS data in heterogeneous/structured populations using PCA. Population structure is inferred by estimating individual allele frequencies in an iterative approach using a truncated SVD model. The covariance matrix is estimated using the estimated individual allele frequencies as prior information for the unobserved genotypes in low-depth NGS data.

The estimated individual allele frequencies can further be used to account for population structure in other probabilistic methods. pcangsd can be used for the following analyses:

  • Covariance matrix

  • Admixture estimation

  • Inbreeding coefficients (both per-sample and per-site)

  • HWE test

  • Genome-wide selection scans

  • Genotype calling

  • Estimate NJ tree of samples

python-phasegen 2.1.0
Propagated dependencies: python-dill@0.4.1 python-jsonpickle@4.0.0 python-matplotlib@3.10.9 python-multiprocess@0.70.18 python-numba@0.66.0 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-typing-extensions@4.15.0
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://phasegen.readthedocs.io/en/latest/
Licenses: GPL 3+
Build system: pyproject
Synopsis: Exact solutions of coalescent distributions under diverse demographic scenarios
Description:

phasegen is a package for computation and inference on exact solutions of coalescent distributions under diverse demographic scenarios. phasegen leverages phase-type theory and supports a wide range of demographic models and coalescent tree statistics.

python-kastore 0.3.6
Dependencies: kastore@2.1.3
Propagated dependencies: python-humanize@4.14.0 python-numpy@2.4.6
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://tskit.dev/kastore/docs/stable/introduction.html
Licenses: Expat
Build system: pyproject
Synopsis: Key-array store for read-only numerical data
Description:

Kastore is a simple storage format mapping keys to numerical arrays in a write-once-read-many file store.

singer 0.1.9-0.eb8e39b
Dependencies: bash-minimal@5.2.37 python@3.12.12 python-msprime@1.4.5 python-numpy@2.4.6 python-pandas@3.0.3 python-tskit@1.0.3
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://github.com/popgenmethods/SINGER
Licenses: Expat
Build system: gnu
Synopsis: Sampling and inference of genealogies with recombination
Description:

SINGER is a Bayesian method to do posterior sampling of ARG under Sequentially Markovian Coalescent. SINGER works by iterative threading one haplotype to the partially-built ARG, until the ARG for all haplotypes have been built. After initialization, MCMC will be performed to update the ARG to explore the posterior distribution.

python-nanofilt 2.8.0
Propagated dependencies: python-biopython@1.87 python-pandas@3.0.3
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://github.com/wdecoster/nanofilt
Licenses: GPL 3
Build system: pyproject
Synopsis: Filtering and trimming of Oxford Nanopore Sequencing data
Description:

This package provides tools for filtering on quality and/or read length, and optional trimming after passing filters. Reads from stdin, writes to stdout. Optionally reads directly from an uncompressed file specified on the command line. It is intended to be used directly after fastq extraction, prior to mapping, or in a stream between extraction and mapping.

primer3 2.6.1
Dependencies: perl@5.36.0
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://primer3.org/
Licenses: GPL 2
Build system: gnu
Synopsis: Tool to select primers for polymerase chain reaction
Description:

Primer3 is a widely used program for designing PCR primers. PCR is an essential and ubiquitous tool in genetics and molecular biology. Primer3 can also design hybridization probes and sequencing primers.

python-sgkit 0.10.0-0.f50577c
Propagated dependencies: python-dask@2026.3.0 python-fsspec@2026.1.0 python-numba@0.66.0 python-numpy@2.4.6 python-pandas@3.0.3 python-scikit-learn@1.9.0 python-scipy@1.17.1 python-xarray@2026.04.0 python-zarr@3.2.1
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: https://sgkit-dev.github.io/sgkit/latest/
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Statistical genetics toolkit in Python
Description:

sgkit is a Python package that provides a variety of analytical genetics methods through the use of general-purpose frameworks such as Xarray, Pandas, Dask and Zarr. The sgkit API makes as few assumptions as possible about the origin, structure, and intended use of genetic data by adopting a set of domain-specific conventions that allow such data to be used within this broader ecosystem of tools. The package is designed for complex workflows over large distributed datasets but attempts to make it as easy as possible to scale down to smaller datasets and access simpler functionality for those that may be new to Python (though there is still a good bit of work to done on this front).

perl-css-tiny 1.20
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: http://search.cpan.org/dist/CSS-Tiny
Licenses: GPL 1+
Build system: perl
Synopsis: Read/Write .css files with as little code as possible
Description:
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.

caveman 1.15.5
Dependencies: curl@8.20.0 htslib@1.21 linasm@1.13 perl@5.36.0 zlib@1.3.1
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: http://cancerit.github.io/CaVEMan/
Licenses: AGPL 3+
Build system: gnu
Synopsis: Implementation of an SNV expectation maximisation algorithm for calling single base substitutions in paired data
Description:

This package provides an implementation of the CaVEMan program. It uses an expectation maximisation approach to calling single base substitutions in paired data. It is designed for use with a compute cluster. Most steps in the program make use of an index parameter. The split step is designed to divide the genome into chunks of adjustable size to optimise for runtime/memory usage requirements.

perl-bio-pipeline-comparison 1.123050
Dependencies: bioperl-minimal@1.7.0 perl-exception-class@1.44 perl-file-which@1.23 perl-moose@2.2015 perl-try-tiny@0.31
Propagated dependencies: htslib@1.21 which@2.21
Channel: guix-science
Location: guix-science/packages/bioinformatics.scm (guix-science packages bioinformatics)
Home page: http://search.cpan.org/dist/Bio-Pipeline-Comparison
Licenses: GPL 3+
Build system: perl
Synopsis: Comparative assesment of variant calling (CAVar)
Description:
iqtree2 2.4.0
Dependencies: boost@1.89.0 eigen@3.4.0 yaml-cpp@0.9.0 zlib@1.3.1
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: Efficient and versatile phylogenomic inference (version 2)
Description:

The IQ-TREE software was created as the successor of IQPNNI and TREE-PUZZLE (thus the name IQ-TREE). IQ-TREE was motivated by the rapid accumulation of phylogenomic data, leading to a need for efficient phylogenomic software that can handle a large amount of data and provide more complex models of sequence evolution. To this end, IQ-TREE can utilize multicore computers and distributed parallel computing to speed up the analysis. IQ-TREE automatically performs checkpointing to resume an interrupted analysis.

As input IQ-TREE accepts all common sequence alignment formats including PHYLIP, FASTA, Nexus, Clustal and MSF. As output IQ-TREE will write a self-readable report file (name suffix .iqtree), a NEWICK tree file (.treefile) which can be visualized by tree viewer programs such as FigTree, Dendroscope or iTOL.

Key features of IQ-TREE:

  • Fast and effective stochastic algorithm to reconstruct phylogenetic trees by maximum likelihood;

  • An ultrafast bootstrap approximation (UFBoot) to assess branch supports;

  • An ultrafast and automatic model selection (ModelFinder);

  • A flexible simulator (AliSim) which can simulate sequence alignments under more realistic models than Seq-Gen and INDELible;

  • Several fast branch tests like SH-aLRT and aBayes test and tree topology tests like the approximately unbiased (AU) test.

This package provides IQ-TREE version 2.

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