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

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.


lammps-serial 0.stable_2Aug2023_update2
Dependencies: ffmpeg@8.0 gfortran@14.3.0 gzip@1.14 hdf5@1.14.6 libjpeg-turbo@2.1.4 libpng@1.6.39 python-wrapper@3.11.14
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://www.lammps.org/
Licenses: GPL 2+
Build system: gnu
Synopsis: Classical molecular dynamics simulator
Description:

LAMMPS is a classical molecular dynamics simulator designed to run efficiently on parallel computers. LAMMPS has potentials for solid-state materials (metals, semiconductors), soft matter (biomolecules, polymers), and coarse-grained or mesoscopic systems. It can be used to model atoms or, more generically, as a parallel particle simulator at the atomic, meso, or continuum scale.

preseq 2.0.3
Dependencies: gsl@2.8 samtools@0.1.19 smithlab-cpp@0.1.728a097 zlib@1.3.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: http://smithlabresearch.org/software/preseq/
Licenses: GPL 3+
Build system: gnu
Synopsis: Program for analyzing library complexity
Description:

The preseq package is aimed at predicting and estimating the complexity of a genomic sequencing library, equivalent to predicting and estimating the number of redundant reads from a given sequencing depth and how many will be expected from additional sequencing using an initial sequencing experiment. The estimates can then be used to examine the utility of further sequencing, optimize the sequencing depth, or to screen multiple libraries to avoid low complexity samples.

java-biojava-alignment 4.2.11
Propagated dependencies: java-log4j-api@2.17.1 java-log4j-core@2.17.1 java-slf4j-api@1.7.25 java-slf4j-simple@1.7.25 java-biojava-core@4.2.11 java-biojava-phylo@4.2.11 java-forester@0-1.86b07ef
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://biojava.org
Licenses: LGPL 2.1+
Build system: ant
Synopsis: Biojava API for genetic sequence alignment
Description:

The alignment module of BioJava provides an API that contains

  • implementations of dynamic programming algorithms for sequence alignment;

  • reading and writing of popular alignment file formats;

  • a single-, or multi- threaded multiple sequence alignment algorithm.

python-weblogo 3.7.12
Propagated dependencies: ghostscript@9.56.1 python-numpy@1.26.4 python-pluggy@1.6.0 python-scipy@1.12.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/gecrooks/weblogo
Licenses: Expat
Build system: pyproject
Synopsis: Sequence Logo Generator
Description:

WebLogo is a web based application designed to make the generation of sequence logos as easy and painless as possible.

WebLogo can create output in several common graphics' formats, including the bitmap formats GIF and PNG, suitable for on-screen display, and the vector formats EPS and PDF, more suitable for printing, publication, and further editing. Additional graphics options include bitmap resolution, titles, optional axis, and axis labels, antialiasing, error bars, and alternative symbol formats.

A sequence logo is a graphical representation of an amino acid or nucleic acid multiple sequence alignment. Each logo consists of stacks of symbols, one stack for each position in the sequence. The overall height of the stack indicates the sequence conservation at that position, while the height of symbols within the stack indicates the relative frequency of each amino or nucleic acid at that position. The width of the stack is proportional to the fraction of valid symbols in that position.

pigx-chipseq 0.1.0
Dependencies: grep@3.11 coreutils@9.1 r-minimal@4.5.2 r-argparser@0.7.2 r-biocparallel@1.44.0 r-biostrings@2.78.0 r-chipseq@1.60.0 r-corrplot@0.95 r-data-table@1.17.8 r-deseq2@1.50.2 r-dplyr@1.1.4 r-dt@0.34.0 r-genomation@1.42.0 r-genomicalignments@1.46.0 r-genomicranges@1.62.0 r-ggplot2@4.0.1 r-ggrepel@0.9.6 r-gprofiler2@0.2.4 r-heatmaply@1.6.0 r-hexbin@1.28.5 r-htmlwidgets@1.6.4 r-jsonlite@2.0.0 r-pheatmap@1.0.13 r-plotly@4.11.0 r-rmarkdown@2.30 r-rsamtools@2.26.0 r-rsubread@2.24.0 r-rtracklayer@1.70.0 r-s4vectors@0.48.0 r-stringr@1.6.0 r-tibble@3.3.0 r-tidyr@1.3.1 python-wrapper@3.11.14 python-pyyaml@6.0.2 python-magic@0.4.27 python-xlrd@2.0.2 trim-galore@0.6.6 macs@2.2.9.1 multiqc@1.14 perl@5.36.0 pandoc@2.19.2 fastqc@0.11.9 bowtie@2.3.4.3 idr@2.0.3 snakemake@7.32.4 samtools@1.19 bedtools@2.31.1 kentutils@302.0.0
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 ChIP sequencing experiments
Description:

PiGX ChIPseq is an analysis pipeline for preprocessing, peak calling and reporting for ChIP 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 enables to set up multiple peak calling analysis and allows the generation of a UCSC track hub in an easily configurable manner.

bwa-meth 0.2.9
Dependencies: bwa@0.7.18 python-toolshed@0.4.6
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/brentp/bwa-meth
Licenses: Expat
Build system: pyproject
Synopsis: Fast and accurante alignment of BS-Seq reads
Description:

BWA-Meth works for single-end reads and for paired-end reads from the directional protocol (most common). It uses the method employed by methylcoder and Bismark of in silico conversion of all C's to T's in both reference and reads. It recovers the original read (needed to tabulate methylation) by attaching it as a comment which BWA appends as a tag to the read. It performs favorably to existing aligners gauged by number of on and off-target reads for a capture method that targets CpG-rich region.

python-arboreto 0.1.6
Propagated dependencies: python-bokeh@3.7.3 python-dask@2024.12.1 python-distributed@2024.12.1 python-lz4@4.4.4 python-numpy@1.26.4 python-pandas@2.2.3 python-pyarrow@22.0.0 python-scikit-learn@1.7.0 python-scipy@1.12.0 python-tornado@6.4.2
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/aertslab/arboreto
Licenses: Modified BSD
Build system: pyproject
Synopsis: Gene regulatory network inference using tree-based ensemble regressors
Description:

This package implements scalable gene regulatory network inference using tree-based ensemble regressors.

ivar 1.4.4
Dependencies: htslib@1.21 zlib@1.3.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://andersen-lab.github.io/ivar/html/
Licenses: GPL 3+
Build system: gnu
Synopsis: Tools for amplicon-based sequencing
Description:

iVar is a computational package that contains functions broadly useful for viral amplicon-based sequencing.

r-shaman 2.0-2.d6944e8
Propagated dependencies: r-data-table@1.17.8 r-domc@1.3.8 r-ggplot2@4.0.1 r-gviz@1.54.0 r-misha@4.1.0 r-plyr@1.8.9 r-rann@2.6.2 r-rcpp@1.1.0 r-reshape2@1.4.5 r-rmarkdown@2.30 r-knitr@1.50
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/tanaylab/shaman
Licenses: GPL 3+
Build system: r
Synopsis: Sampling HiC contact matrices for a-parametric normalization
Description:

The Shaman package implements functions for resampling Hi-C matrices in order to generate expected contact distributions given constraints on marginal coverage and contact-distance probability distributions. The package also provides support for visualizing normalized matrices and statistical analysis of contact distributions around selected landmarks.

python-logomaker 0.8.7
Propagated dependencies: python-matplotlib@3.8.2 python-numpy@1.26.4 python-pandas@2.2.3
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/jbkinney/logomaker
Licenses: Expat
Build system: pyproject
Synopsis: Package for making Sequence Logos
Description:

Logomaker is a Python package for generating publication-quality sequence logos. Logomaker can generate both standard and highly customized logos illustrating the properties of DNA, RNA, or protein sequences. Logos are rendered as vector graphics embedded within native matplotlib Axes objects, making them easy to style and incorporate into multi-panel figures.

java-biojava-alignment 4.0.0
Propagated dependencies: java-log4j-api@2.17.1 java-log4j-core@2.17.1 java-slf4j-api@1.7.25 java-slf4j-simple@1.7.25 java-biojava-core@4.0.0 java-biojava-phylo@4.0.0 java-forester@1.005
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://biojava.org
Licenses: LGPL 2.1+
Build system: ant
Synopsis: Biojava API for genetic sequence alignment
Description:

The alignment module of BioJava provides an API that contains

  • implementations of dynamic programming algorithms for sequence alignment;

  • reading and writing of popular alignment file formats;

  • a single-, or multi- threaded multiple sequence alignment algorithm.

r-dtmm 0.1.0-1.3a553b1
Propagated dependencies: r-ape@5.8-1 r-rcpp@1.1.0 r-rcpparmadillo@15.2.2-1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/MaStatLab/DTMM
Licenses: CC0
Build system: r
Synopsis: Dirichlet-tree multinomial mixtures
Description:

This package lets you perform unsupervised clustering of amplicon sequencing data in microbiome studies with the Dirichlet-tree Multinomial Mixtures.

plink 1.07
Dependencies: zlib@1.3.1 openblas@0.3.30
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: http://pngu.mgh.harvard.edu/~purcell/plink/
Licenses: GPL 2 LGPL 2.1+
Build system: gnu
Synopsis: Whole genome association analysis toolset
Description:

PLINK is a whole genome association analysis toolset, designed to perform a range of basic, large-scale analyses in a computationally efficient manner. The focus of PLINK is purely on analysis of genotype/phenotype data, so there is no support for steps prior to this (e.g. study design and planning, generating genotype or CNV calls from raw data). Through integration with gPLINK and Haploview, there is some support for the subsequent visualization, annotation and storage of results.

r-xbioc 0.1.16-1.6ff0670
Propagated dependencies: r-annotationdbi@1.72.0 r-assertthat@0.2.1 r-biobase@2.70.0 r-biocmanager@1.30.27 r-digest@0.6.39 r-pkgmaker@0.32.10 r-plyr@1.8.9 r-reshape2@1.4.5 r-stringr@1.6.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/renozao/xbioc/
Licenses: GPL 3+
Build system: r
Synopsis: Extra base functions for Bioconductor
Description:

This package provides extra utility functions to perform common tasks in the analysis of omics data, leveraging and enhancing features provided by Bioconductor packages.

python-illumina-utils 2.13
Propagated dependencies: python-levenshtein@0.27.1 python-matplotlib@3.8.2 python-numpy@1.26.4
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/meren/illumina-utils
Licenses: GPL 2+
Build system: pyproject
Synopsis: Library and scripts to work with Illumina paired-end data
Description:

This package provides a library and collection of scripts to work with Illumina paired-end data (for CASAVA 1.8+).

r-pizzarr 0.1.0-1.7b3fd72
Propagated dependencies: r-jsonlite@2.0.0 r-memoise@2.0.1 r-qs@0.27.3 r-r6@2.6.1 r-stringr@1.6.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/keller-mark/pizzarr
Licenses: Expat
Build system: r
Synopsis: Slice into Zarr arrays in R
Description:

This package provides an implementation of chunked, compressed, N-dimensional arrays for R, Zarr specification version 2 (2024) <doi:10.5281/zenodo.11320255>.

bpp-phyl 2.4.1
Dependencies: bpp-core@2.4.1 bpp-seq@2.4.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://pbil.univ-lyon1.fr/bpp-doc/bpp-phyl/html/
Licenses: CeCILL-C
Build system: cmake
Synopsis: Bio++ phylogenetic library
Description:

Bio++ is a set of C++ libraries for Bioinformatics, including sequence analysis, phylogenetics, molecular evolution and population genetics. This library provides phylogenetics-related modules.

python-episcanpy 0.4.0
Propagated dependencies: python-anndata@0.11.4 python-bamnostic@1.1.8 python-h5py@3.13.0 python-intervaltree@3.1.0 python-joblib@1.5.2 python-kneed@0.8.5 python-legacy-api-wrap@1.4.1 python-matplotlib@3.8.2 python-natsort@8.4.0 python-networkx@3.4.2 python-numba@0.61.0 python-numpy@1.26.4 python-packaging@25.0 python-pandas@2.2.3 python-scanpy@1.11.2 python-scikit-learn@1.7.0 python-scipy@1.12.0 python-seaborn@0.13.2 python-statsmodels@0.14.4 python-tqdm@4.67.1 python-pysam@0.23.0 python-tbb@2021.6.0 python-umap-learn@0.5.9
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/colomemaria/epiScanpy
Licenses: Modified BSD
Build system: pyproject
Synopsis: Tool for epigenomics single cell analysis
Description:

EpiScanpy is a toolkit to analyse single-cell open chromatin (scATAC-seq) and single-cell DNA methylation (for example scBS-seq) data. EpiScanpy is the epigenomic extension of the very popular scRNA-seq analysis tool Scanpy (Genome Biology, 2018).

bio-blastxmlparser 2.0.4
Dependencies: ruby-rspec@3.13.1
Propagated dependencies: ruby-bio-logger@1.0.1 ruby-nokogiri@1.18.10
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/pjotrp/blastxmlparser
Licenses: Expat
Build system: ruby
Synopsis: Fast big data BLAST XML parser and library
Description:

Very fast parallel big-data BLAST XML file parser which can be used as command line utility. Use blastxmlparser to: Parse BLAST XML; filter output; generate FASTA, JSON, YAML, RDF, JSON-LD, HTML, CSV, tabular output etc.

exonerate 2.4.0
Dependencies: glib@2.83.3
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://www.ebi.ac.uk/about/vertebrate-genomics/software/exonerate
Licenses: GPL 3
Build system: gnu
Synopsis: Generic tool for biological sequence alignment
Description:

Exonerate is a generic tool for pairwise sequence comparison. It allows the alignment of sequences using a many alignment models, either exhaustive dynamic programming or a variety of heuristics.

java-forester 1.005
Propagated dependencies: java-commons-codec@1.15 java-openchart2@1.4.3
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://sites.google.com/site/cmzmasek/home/software/forester
Licenses: LGPL 2.1+
Build system: ant
Synopsis: Phylogenomics libraries for Java
Description:

Forester is a collection of Java libraries for phylogenomics and evolutionary biology research. It includes support for reading, writing, and exporting phylogenetic trees.

r-hdwgcna 0.4.00-1.950b8c7
Propagated dependencies: r-dplyr@1.1.4 r-enrichr@3.4 r-geneoverlap@1.46.0 r-genomicranges@1.62.0 r-ggplot2@4.0.1 r-ggraph@2.2.2 r-ggrepel@0.9.6 r-harmony@1.2.4 r-igraph@2.2.1 r-matrix@1.7-4 r-proxy@0.4-27 r-seurat@5.3.1 r-tester@0.3.0 r-tidygraph@1.3.1 r-ucell@2.14.0 r-wgcna@1.73
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.

scvelo 0.2.4
Propagated dependencies: pybind11@2.13.6 python-anndata@0.12.1 python-hnswlib@0.5.2 python-igraph@0.11.8 python-loompy@3.0.7 python-louvain@0.16 python-matplotlib@3.8.2 python-numba@0.61.0 python-numpy@1.26.4 python-pandas@2.2.3 python-scanpy@1.11.2 python-scikit-learn@1.7.0 python-scipy@1.12.0 python-umap-learn@0.5.9
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://scvelo.org
Licenses: Modified BSD
Build system: pyproject
Synopsis: RNA velocity generalized through dynamical modeling
Description:

ScVelo is a scalable toolkit for RNA velocity analysis in single cells. RNA velocity enables the recovery of directed dynamic information by leveraging splicing kinetics. scVelo generalizes the concept of RNA velocity by relaxing previously made assumptions with a stochastic and a dynamical model that solves the full transcriptional dynamics. It thereby adapts RNA velocity to widely varying specifications such as non-stationary populations.

python-bed-reader 1.0.6
Dependencies: python-wrapper@3.11.14 rust-ring@0.17.8
Propagated dependencies: python-numpy@1.26.4 python-pandas@2.2.3 python-scipy@1.12.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://fastlmm.github.io/
Licenses: ASL 2.0
Build system: cargo
Synopsis: Read and write the PLINK BED format, simply and efficiently
Description:

This package lets you read and write the PLINK BED format, simply and efficiently.

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