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

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.


r-imagearray 1.0-1.78b4b18
Propagated dependencies: r-delayedarray@0.36.0 r-hdf5array@1.38.0 r-magick@2.9.0 r-s4arrays@1.10.0 r-zarrarray@1.0-1.508d871
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/BIMSBbioinfo/ImageArray
Licenses: Expat
Build system: r
Synopsis: DelayedArray based image operations
Description:

DelayedArray based image operations.

r-skitools 0.0.0.9000-2.ba322dc
Propagated dependencies: r-biostrings@2.78.0 r-complexheatmap@2.26.0 r-data-table@1.17.8 r-devtools@2.4.6 r-dt@0.34.0 r-gchain@0.2.0-2.19f8bb9 r-genomeinfodb@1.46.0 r-genomicranges@1.62.0 r-ggplot2@4.0.1 r-gplots@3.2.0 r-gutils@0.2.0-2.fc24db6 r-htmlwidgets@1.6.4 r-hwriter@1.3.2.1 r-igraph@2.2.1 r-iranges@2.44.0 r-plotly@4.11.0 r-rcolorbrewer@1.1-3 r-reshape2@1.4.5 r-s4vectors@0.48.0 r-stringr@1.6.0 r-variantannotation@1.56.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/mskilab/skitools/
Licenses: Expat
Build system: r
Synopsis: Various mskilab R utilities
Description:

This package provides R miscellaneous utilities for basic data manipulation, debugging, visualization, lsf management, and common mskilab tasks.

bamutils 1.0.15
Dependencies: zlib@1.3.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://genome.sph.umich.edu/wiki/BamUtil
Licenses: GPL 3+
Build system: gnu
Synopsis: Programs for working on SAM/BAM files
Description:

This package provides several programs that perform operations on SAM/BAM files. All of these programs are built into a single executable called bam.

r-zarrarray 1.0-1.508d871
Propagated dependencies: r-biocgenerics@0.56.0 r-delayedarray@0.36.0 r-iranges@2.44.0 r-matrix@1.7-4 r-pizzarr@0.1.0-1.7b3fd72 r-s4arrays@1.10.0 r-s4vectors@0.48.0 r-sparsearray@1.10.2
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/BIMSBbioinfo/ZarrArray
Licenses: Expat
Build system: r
Synopsis: Zarr backend for DelayedArray objects
Description:

Zarr backend for DelayedArray objects.

go-github-com-biogo-biogo 1.0.4
Propagated dependencies: go-gopkg-in-check-v1@1.0.0-20201130134442-10cb98267c6c go-github-com-biogo-store@0.0.0-20201120204734-aad293a2328f go-github-com-biogo-hts@1.4.4 go-github-com-biogo-graph@0.0.0-20150317020928-057c1989faed
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/biogo/biogo
Licenses: Modified BSD
Build system: go
Synopsis: Bioinformatics library for Go
Description:

BĂ­ogo is a bioinformatics library for the Go language.

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.

python-pyfit-sne 1.2.1
Dependencies: fftw@3.3.10
Propagated dependencies: python-numpy@1.26.4
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.

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.

bitmapperbs 1.0.2.3
Dependencies: libdivsufsort@2.0.1 psascan@0.1.0 zlib@1.3.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/chhylp123/BitMapperBS/
Licenses: ASL 2.0
Build system: gnu
Synopsis: Read aligner for whole-genome bisulfite sequencing
Description:

BitMapperBS is memory-efficient aligner that is designed for whole-genome bisulfite sequencing (WGBS) reads from directional protocol.

music 0.0.0-1.b1caecd
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/gersteinlab/MUSIC/
Licenses: GPL 2+
Build system: gnu
Synopsis: Multiscale enrichment calling for ChIP-Seq datasets
Description:

MUSIC is an algorithm for identification of enriched regions at multiple scales in the read depth signals from ChIP-Seq experiments.

bpp-core 2.4.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://pbil.univ-lyon1.fr/bpp-doc/bpp-core/html/index.html
Licenses: CeCILL-C
Build system: cmake
Synopsis: C++ libraries for Bioinformatics
Description:

Bio++ is a set of C++ libraries for Bioinformatics, including sequence analysis, phylogenetics, molecular evolution and population genetics. It is Object Oriented and is designed to be both easy to use and computer efficient. Bio++ intends to help programmers to write computer expensive programs, by providing them a set of re-usable tools.

python-pyrodigal 3.6.3
Propagated dependencies: python-archspec@0.2.5
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/althonos/pyrodigal
Licenses: GPL 3
Build system: pyproject
Synopsis: Cython bindings and Python interface for Prodigal
Description:

This package offers Cython bindings and a Python interface for Prodigal. Prodigal is an ORF finder designed for both genomes and metagenomes.

metabat 2.15
Dependencies: zlib@1.3.1 perl@5.36.0 samtools@1.19 htslib@1.21 boost@1.83.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://bitbucket.org/berkeleylab/metabat
Licenses: non-copyleft
Build system: cmake
Synopsis: Reconstruction of single genomes from complex microbial communities
Description:

Grouping large genomic fragments assembled from shotgun metagenomic sequences to deconvolute complex microbial communities, or metagenome binning, enables the study of individual organisms and their interactions. MetaBAT is an automated metagenome binning software, which integrates empirical probabilistic distances of genome abundance and tetranucleotide frequency.

r-maxprobes 0.0.2-1.c2120db
Propagated dependencies: r-minfi@1.56.0 r-minfidata@0.56.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/markgene/maxprobes
Licenses: GPL 2+
Build system: r
Synopsis: Methylation array cross-reactive probes
Description:

The Maxprobes package collects cross-reactive probes of Illumina methylation array 450K and EPIC/850K.

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-spacexr 2.2.1-1.0a0861e
Propagated dependencies: r-compquadform@1.4.4 r-data-table@1.17.8 r-doparallel@1.0.17 r-dplyr@1.1.4 r-fields@17.1 r-foreach@1.5.2 r-ggplot2@4.0.1 r-knitr@1.50 r-locfdr@1.1-8 r-matrix@1.7-4 r-metafor@4.8-0 r-mgcv@1.9-4 r-pals@1.10 r-quadprog@1.5-8 r-readr@2.1.6 r-reshape2@1.4.5 r-rfast@2.1.5.2 r-rmarkdown@2.30 r-tibble@3.3.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/dmcable/spacexr
Licenses: GPL 3
Build system: r
Synopsis: Cell type identification and differential expression in spatial transcriptomics
Description:

This package is used for cell type identification in spatial transcriptomics. It also handles cell type-specific differential expression.

trinityrnaseq 2.15.2
Dependencies: blast+@2.17.0 bowtie@2.3.4.3 fastqc@0.11.9 hisat@0.1.6 htslib@1.21 icedtea@3.19.0 jellyfish@2.3.0 kallisto@0.50.1 multiqc@1.14 perl@5.36.0 perl-uri-escape@1.76 python-numpy@1.26.4 python-wrapper@3.11.14 r-ape@5.8-1 r-argparse@2.3.1 r-biobase@2.70.0 r-ctc@1.84.0 r-deseq2@1.50.2 r-edger@4.8.0 r-fastcluster@1.3.0 r-glimma@2.20.0 r-goplot@1.0.2 r-goseq@1.62.0 r-gplots@3.2.0 r-minimal@4.5.2 r-qvalue@2.42.0 r-rots@2.2.0 r-sm@2.2-6.0 r-tidyverse@2.0.0 rsem@1.3.3 salmon@1.10.3 samtools@1.19 sra-tools@2.10.6 star@2.7.8a zlib@1.3.1
Propagated dependencies: coreutils@9.1 gzip@1.14 which@2.21
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/trinityrnaseq/trinityrnaseq/wiki
Licenses: Modified BSD
Build system: gnu
Synopsis: Trinity RNA-Seq de novo transcriptome assembly
Description:

Trinity assembles transcript sequences from Illumina RNA-Seq data. Trinity represents a novel method for the efficient and robust de novo reconstruction of transcriptomes from RNA-seq data. Trinity combines three independent software modules: Inchworm, Chrysalis, and Butterfly, applied sequentially to process large volumes of RNA-seq reads. Trinity partitions the sequence data into many individual de Bruijn graphs, each representing the transcriptional complexity at a given gene or locus, and then processes each graph independently to extract full-length splicing isoforms and to tease apart transcripts derived from paralogous genes.

r-seqgl 1.1.4
Propagated dependencies: r-biostrings@2.78.0 r-chipkernels@1.1-1.c9cfcac r-genomicranges@1.62.0 r-spams@2.6.1 r-wgcna@1.73 r-fastcluster@1.3.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/ManuSetty/SeqGL
Licenses: GPL 2+
Build system: r
Synopsis: Group lasso for Dnase/ChIP-seq data
Description:

SeqGL is a group lasso based algorithm to extract transcription factor sequence signals from ChIP, DNase and ATAC-seq profiles. This package presents a method which uses group lasso to discriminate between bound and non bound genomic regions to accurately identify transcription factors bound at the specific regions.

python-bulkvis 2.0.0-2.00a82a9
Propagated dependencies: python-bokeh@3.7.3 python-dill@0.4.0 python-h5py@3.13.0 python-joblib@1.5.2 python-matplotlib@3.8.2 python-numpy@1.26.4 python-pandas@2.2.3 python-plotly@5.20.0 python-readpaf@0.0.10 python-scikit-learn@1.7.0 python-scikit-image@0.23.2 python-scipy@1.12.0 python-seaborn@0.13.2 python-tornado@6.4.2 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/LooseLab/bulkVis
Licenses: Expat
Build system: pyproject
Synopsis: Interactive visualization of bulk RNA-seq data
Description:

This is a Python package for the interactive visualization of bulk RNA-seq data. It provides a range of plotting functions and interactive tools to explore and analyze bulk RNA-seq data.

r-bseqsc 1.0-1.fef3f3e
Propagated dependencies: r-abind@1.4-8 r-annotationdbi@1.72.0 r-biobase@2.70.0 r-cssam@1.4-1.9ec58c9 r-dplyr@1.1.4 r-e1071@1.7-16 r-edger@4.8.0 r-ggplot2@4.0.1 r-nmf@0.28 r-openxlsx@4.2.8.1 r-pkgmaker@0.32.10 r-plyr@1.8.9 r-preprocesscore@1.72.0 r-rngtools@1.5.2 r-scales@1.4.0 r-stringr@1.6.0 r-xbioc@0.1.16-1.6ff0670
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/shenorrLab/bseqsc
Licenses: GPL 2+
Build system: r
Synopsis: Deconvolution of bulk sequencing experiments using single cell data
Description:

BSeq-sc is a bioinformatics analysis pipeline that leverages single-cell sequencing data to estimate cell type proportion and cell type-specific gene expression differences from RNA-seq data from bulk tissue samples. This is a companion package to the publication "A single-cell transcriptomic map of the human and mouse pancreas reveals inter- and intra-cell population structure." Baron et al. Cell Systems (2016) https://www.ncbi.nlm.nih.gov/pubmed/27667365.

louvain 0.2
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://sourceforge.net/projects/louvain/
Licenses: GPL 3+
Build system: gnu
Synopsis: Multi-criteria community detection
Description:

This package offers a set of functions to use in order to compute communities on graphs weighted or unweighted.

ensembl-vep 112
Dependencies: bioperl-minimal@1.7.0 perl-bio-db-hts@3.01 perl-dbi@1.643 perl-dbd-mysql@4.050 perl-libwww@6.78 perl-list-moreutils@0.430 perl-http-tiny@0.076 perl-json@4.02 which@2.21
Propagated dependencies: kentutils@302.0.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: http://www.ensembl.org/vep
Licenses: ASL 2.0
Build system: gnu
Synopsis: Predict functional effects of genomic variants
Description:

This package provides a Variant Effect Predictor, which predicts the functional effects of genomic variants. It also provides Haplosaurus, which uses phased genotype data to predict whole-transcript haplotype sequences, and Variant Recoder, which translates between different variant encodings.

lammps 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 openmpi@4.1.6 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.

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Total results: 69112