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

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.


samblaster 0.1.26
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/GregoryFaust/samblaster
Licenses: Expat
Build system: gnu
Synopsis: Mark duplicates in paired-end SAM files
Description:

Samblaster is a fast and flexible program for marking duplicates in read-id grouped paired-end SAM files. It can also optionally output discordant read pairs and/or split read mappings to separate SAM files, and/or unmapped/clipped reads to a separate FASTQ file. When marking duplicates, samblaster will require approximately 20MB of memory per 1M read pairs.

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.

r-cmdstanr 0.8.1.9000-1.a45d4f7
Propagated dependencies: r-checkmate@2.3.3 r-data-table@1.17.8 r-jsonlite@2.0.0 r-posterior@1.6.1 r-processx@3.8.6 r-r6@2.6.1 r-rlang@1.1.6 r-withr@3.0.2
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/stan-dev/cmdstanr
Licenses: Modified BSD
Build system: r
Synopsis: R interface to 'CmdStan'
Description:

This package provides a lightweight interface to Stan <https://mc-stan.org>. The CmdStanR interface is an alternative to RStan that calls the command line interface for compilation and running algorithms instead of interfacing with C++ via Rcpp'.

proteinortho 6.3.2
Dependencies: bash-minimal@5.2.37 guile@3.0.9 diamond@2.1.6 perl@5.36.0 python-wrapper@3.11.14 blast+@2.17.0 openblas@0.3.30
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://www.bioinf.uni-leipzig.de/Software/proteinortho
Licenses: GPL 3+
Build system: gnu
Synopsis: Detect orthologous genes across species
Description:

Proteinortho is a tool to detect orthologous genes across different species. For doing so, it compares similarities of given gene sequences and clusters them to find significant groups. The algorithm was designed to handle large-scale data and can be applied to hundreds of species at once.

phyml 3.3.20220408
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/stephaneguindon/phyml
Licenses: GPL 3
Build system: gnu
Synopsis: Programs for working on SAM/BAM files
Description:

PhyML is a software package that uses modern statistical approaches to analyse alignments of nucleotide or amino acid sequences in a phylogenetic framework. The main tool in this package builds phylogenies under the maximum likelihood criterion. It implements a large number of substitution models coupled with efficient options to search the space of phylogenetic tree topologies. codePhyREX fits the spatial-Lambda-Fleming-Viot model to geo-referenced genetic data. This model is similar to the structured coalescent but assumes that individuals are distributed along a spatial continuum rather than discrete demes. PhyREX can be used to estimate population densities and rates of dispersal. Its output can be processed by treeannotator (from the BEAST package) as well as SPREAD.

python-pybiomart 0.2.0
Propagated dependencies: python-future@1.0.0 python-pandas@2.2.3 python-requests@2.32.5 python-requests-cache@1.2.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/jrderuiter/pybiomart
Licenses: Expat
Build system: pyproject
Synopsis: A simple pythonic interface to biomart
Description:

Pybiomart provides a simple pythonic interface to biomart.

mosaik 2.2.30
Dependencies: perl@5.36.0 zlib@1.3.1 zlib@1.3.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/wanpinglee/MOSAIK
Licenses: GPL 2+ Public Domain
Build system: gnu
Synopsis: Map nucleotide sequence reads to reference genomes
Description:

MOSAIK is a program for mapping second and third-generation sequencing reads to a reference genome. MOSAIK can align reads generated by all the major sequencing technologies, including Illumina, Applied Biosystems SOLiD, Roche 454, Ion Torrent and Pacific BioSciences SMRT.

khmer 3.0.0a3
Dependencies: zlib@1.3.1 bzip2@1.0.8 seqan@1.4.2 python-screed@1.1.3 python-bz2file@0.98
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://khmer.readthedocs.org/
Licenses: Modified BSD
Build system: python
Synopsis: K-mer counting, filtering and graph traversal library
Description:

The khmer software is a set of command-line tools for working with DNA shotgun sequencing data from genomes, transcriptomes, metagenomes and single cells. Khmer can make de novo assemblies faster, and sometimes better. Khmer can also identify and fix problems with shotgun data.

pigx-rnaseq 0.1.1
Dependencies: coreutils@9.1 sed@4.9 gzip@1.14 snakemake@7.32.4 megadepth@1.1.1 multiqc@1.14 star@2.7.3a hisat2@2.2.1 fastp@0.23.2 htseq@2.0.2 samtools@1.19 r-minimal@4.5.2 r-rmarkdown@2.30 r-genomeinfodb@1.46.0 r-ggplot2@4.0.1 r-ggpubr@0.6.2 r-ggrepel@0.9.6 r-gprofiler2@0.2.4 r-deseq2@1.50.2 r-dt@0.34.0 r-knitr@1.50 r-pheatmap@1.0.13 r-corrplot@0.95 r-reshape2@1.4.5 r-plotly@4.11.0 r-scales@1.4.0 r-summarizedexperiment@1.40.0 r-crosstalk@1.2.2 r-tximport@1.38.1 r-rtracklayer@1.70.0 r-rjson@0.2.23 salmon@1.10.3 pandoc@2.19.2 python-wrapper@3.11.14 python-deeptools@3.5.5 python-pyyaml@6.0.2
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://bioinformatics.mdc-berlin.de/pigx/
Licenses: GPL 3+
Build system: gnu
Synopsis: Analysis pipeline for RNA sequencing experiments
Description:

PiGX RNAseq is an analysis pipeline for preprocessing and reporting for RNA sequencing experiments. It is easy to use and produces high quality reports. The inputs are reads files from the sequencing experiment, and a configuration file which describes the experiment. In addition to quality control of the experiment, the pipeline produces a differential expression report comparing samples in an easily configurable manner.

r-markdownhelpers 0.2.0-1.793372d
Propagated dependencies: r-devtools@2.4.6 r-stringendo@0.6.0-1.15594b1 r-usethis@3.2.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/vertesy/MarkdownHelpers
Licenses: GPL 3
Build system: r
Synopsis: Helper functions for MarkdownReports and ggExpress
Description:

This package provides a set of R functions to parse markdown and other generic helpers.

prank 170427
Dependencies: mafft@7.475 exonerate@2.4.0 bppsuite@2.4.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: http://wasabiapp.org/software/prank/
Licenses: GPL 2+
Build system: gnu
Synopsis: Probabilistic multiple sequence alignment program
Description:

PRANK is a probabilistic multiple sequence alignment program for DNA, codon and amino-acid sequences. It is based on a novel algorithm that treats insertions correctly and avoids over-estimation of the number of deletion events. In addition, PRANK borrows ideas from maximum likelihood methods used in phylogenetics and correctly takes into account the evolutionary distances between sequences. Lastly, PRANK allows for defining a potential structure for sequences to be aligned and then, simultaneously with the alignment, predicts the locations of structural units in the sequences.

python-harmonypy 0.0.10
Propagated dependencies: python-numpy@1.26.4 python-pandas@2.2.3 python-scikit-learn@1.7.0 python-scipy@1.12.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/slowkow/harmonypy
Licenses: GPL 2
Build system: pyproject
Synopsis: Data integration algorithm
Description:

Harmony is an algorithm for integrating multiple high-dimensional datasets with fuzzy k-means and locally linear adjustments.

python-scanpy 1.11.2
Propagated dependencies: python-anndata@0.12.1 python-dask@2024.12.1 python-h5py@3.13.0 python-igraph@0.11.8 python-joblib@1.5.2 python-legacy-api-wrap@1.4.1 python-louvain@0.16 python-matplotlib@3.8.2 python-natsort@8.4.0 python-networkx@3.4.2 python-numba@0.61.0 python-packaging@25.0 python-pandas@2.2.3 python-patsy@1.0.1 python-pytoml@0.1.21 python-scikit-learn@1.7.0 python-scipy@1.12.0 python-seaborn@0.13.2 python-session-info2@0.2 python-setuptools@80.9.0 python-sinfo@0.3.4 python-statsmodels@0.14.4 python-tables@3.10.2 python-tqdm@4.67.1 python-umap-learn@0.5.9
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/theislab/scanpy
Licenses: Modified BSD
Build system: pyproject
Synopsis: Single-Cell Analysis in Python
Description:

Scanpy is a scalable toolkit for analyzing single-cell gene expression data. It includes preprocessing, visualization, clustering, pseudotime and trajectory inference and differential expression testing. The Python-based implementation efficiently deals with datasets of more than one million cells.

python-pybio 0.3.12-1.c91fddc
Propagated dependencies: python-beautifulsoup4@4.14.3 python-numpy@1.26.4 python-psutil@7.0.0 python-pysam@0.23.0 python-requests@2.32.5
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/grexor/pybio
Licenses: GPL 3+
Build system: pyproject
Synopsis: Basic genomics toolset
Description:

This tool provides a Python framework to streamline genomics operations. It offers a direct interface to Ensembl genome assemblies and annotations, while also accommodating custom genomes via FASTA/GTF inputs. The primary objective of pybio is to simplify genome management. It achieves this by providing automatic download of Ensembl genome assemblies and annotation, provides Python genomic feature search and sequence retrieval from the managed genomes, STAR indexing and mapping and more.

bioperl-minimal 1.7.0
Dependencies: bash-minimal@5.2.37 perl-module-build@0.4231 perl-data-stag@0.14 perl-libwww@6.78 perl-uri@5.05
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://metacpan.org/release/BioPerl
Licenses: GPL 1+
Build system: perl
Synopsis: Bioinformatics toolkit
Description:

BioPerl is the product of a community effort to produce Perl code which is useful in biology. Examples include Sequence objects, Alignment objects and database searching objects. These objects not only do what they are advertised to do in the documentation, but they also interact - Alignment objects are made from the Sequence objects, Sequence objects have access to Annotation and SeqFeature objects and databases, Blast objects can be converted to Alignment objects, and so on. This means that the objects provide a coordinated and extensible framework to do computational biology.

python-bcbio-gff 0.6.9
Propagated dependencies: python-biopython@1.73 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.

orfm 0.7.1
Dependencies: zlib@1.3.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/wwood/OrfM
Licenses: LGPL 3+
Build system: gnu
Synopsis: Simple and not slow open reading frame (ORF) caller
Description:

An ORF caller finds stretches of DNA that, when translated, are not interrupted by stop codons. OrfM finds and prints these ORFs.

bwa 0.7.18
Dependencies: zlib@1.3.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://bio-bwa.sourceforge.net/
Licenses: GPL 3+
Build system: gnu
Synopsis: Burrows-Wheeler sequence aligner
Description:

BWA is a software package for mapping low-divergent sequences against a large reference genome, such as the human genome. It consists of three algorithms: BWA-backtrack, BWA-SW and BWA-MEM. The first algorithm is designed for Illumina sequence reads up to 100bp, while the rest two for longer sequences ranged from 70bp to 1Mbp. BWA-MEM and BWA-SW share similar features such as long-read support and split alignment, but BWA-MEM, which is the latest, is generally recommended for high-quality queries as it is faster and more accurate. BWA-MEM also has better performance than BWA-backtrack for 70-100bp Illumina reads.

r-dropbead 0-2.d746c6f
Propagated dependencies: r-ggplot2@4.0.1 r-rcolorbrewer@1.1-3 r-gridextra@2.3 r-gplots@3.2.0 r-plyr@1.8.9
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/rajewsky-lab/dropbead
Licenses: GPL 3
Build system: r
Synopsis: Basic exploration and analysis of Drop-seq data
Description:

This package offers a quick and straight-forward way to explore and perform basic analysis of single cell sequencing data coming from droplet sequencing. It has been particularly tailored for Drop-seq.

perl-cworld-dekker 1.01
Dependencies: gd@2.3.3 perl-gd@2.78 bedtools@2.31.1 python-wrapper@3.11.14 python-scipy@1.12.0 python-numpy@1.26.4 python-matplotlib@3.8.2 python-h5py@3.13.0 python-scikit-learn@1.7.0 r-minimal@4.5.2
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/dekkerlab/cworld-dekker
Licenses: ASL 2.0
Build system: perl
Synopsis: Utility and analysis scripts for 3C, 4C, 5C, and Hi-C data
Description:

This package is a collection of Perl, Python, and R scripts for manipulating 3C/4C/5C/Hi-C data.

roary 3.12.0
Dependencies: bash-minimal@5.2.37 perl-array-utils@0.5 bioperl-minimal@1.7.0 perl-digest-md5-file@0.08 perl-exception-class@1.44 perl-file-find-rule@0.35 perl-file-grep@0.02 perl-file-slurper@0.012 perl-file-which@1.23 perl-graph@0.9704 perl-graph-readwrite@2.09 perl-log-log4perl@1.54 perl-moose@2.2015 perl-perlio-utf8-strict@0.007 perl-text-csv@2.00 bedtools@2.31.1 cd-hit@4.8.1 blast+@2.17.0 mcl@14.137 parallel@20251122 prank@170427 mafft@7.475 fasttree@2.1.10 grep@3.11 sed@4.9 gawk@5.3.0 r-minimal@4.5.2 r-ggplot2@4.0.1 coreutils@9.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://sanger-pathogens.github.io/Roary/
Licenses: GPL 3
Build system: perl
Synopsis: High speed stand-alone pan genome pipeline
Description:

Roary is a high speed stand alone pan genome pipeline, which takes annotated assemblies in GFF3 format (produced by the Prokka program) and calculates the pan genome. Using a standard desktop PC, it can analyse datasets with thousands of samples, without compromising the quality of the results. 128 samples can be analysed in under 1 hour using 1 GB of RAM and a single processor. Roary is not intended for metagenomics or for comparing extremely diverse sets of genomes.

morpheus 2.3.6
Dependencies: boost@1.89.0 eigen@3.4.0 file@5.46 gnuplot@6.0.1 libtiff@4.4.0 libxslt@1.1.43 xsimd@13.2.0 xtensor@0.25.0 xtl@0.7.7 zlib@1.3.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://gitlab.com/morpheus.lab/morpheus
Licenses: Modified BSD
Build system: cmake
Synopsis: Multicellular simulation
Description:

Morpheus is a modeling and simulation environment for the study of multi-scale and multicellular systems.

vembrane 1.0.7
Dependencies: python-asttokens@3.0.0 python-intervaltree@3.1.0 python-numpy@1.26.4 python-pysam@0.23.0 python-pyyaml@6.0.2
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/vembrane/vembrane
Licenses: Expat
Build system: pyproject
Synopsis: Filter VCF/BCF files with Python expressions
Description:

Vembrane simultaneously filters variants based on any INFO or FORMAT field, CHROM, POS, ID, REF, ALT, QUAL, FILTER, and the annotation field ANN. When filtering based on ANN, annotation entries are filtered first. If no annotation entry remains, the entire variant is deleted.

r-bedtorch 0.1.12.12-1.f5ff4f8
Propagated dependencies: r-assertthat@0.2.1 r-curl@7.0.0 r-data-table@1.17.8 r-dplyr@1.1.4 r-genomeinfodb@1.46.0 r-genomicranges@1.62.0 r-purrr@1.2.0 r-r-utils@2.13.0 r-rcpp@1.1.0 r-rcurl@1.98-1.17 r-readr@2.1.6 r-rhtslib12@1.23.2-1.ee186da r-s4vectors@0.48.0 r-stringr@1.6.0 r-tidyr@1.3.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/haizi-zh/bedtorch/
Licenses: Expat
Build system: r
Synopsis: R package for fast BED-file manipulation
Description:

The goal of bedtorch is to provide a fast BED file manipulation tool suite native in R.

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