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      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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.


pigx-bsseq 0.1.10
Dependencies: coreutils@9.1 sed@4.9 grep@3.11 r-minimal@4.5.0 r-annotationhub@3.16.0 r-dt@0.33 r-genomation@1.40.1 r-ggbio@1.56.0 r-ggrepel@0.9.6 r-matrixstats@1.5.0 r-methylkit@1.34.0 r-reshape2@1.4.4 r-rtracklayer@1.68.0 r-rmarkdown@2.29 r-bookdown@0.43 r-ggplot2@3.5.2 r-ggbio@1.56.0 pandoc@2.19.2 python-wrapper@3.11.11 python-pyyaml@6.0.2 snakemake@7.32.4 bismark@0.24.1 bowtie@2.3.4.3 bwa-meth@0.2.3 fastqc@0.11.9 methyldackel@0.6.1 multiqc@1.14 trim-galore@0.6.6 cutadapt@4.0 samblaster@0.1.26 samtools@1.19
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://bioinformatics.mdc-berlin.de/pigx/
Licenses: GPL 3+
Synopsis: Bisulfite sequencing pipeline from fastq to methylation reports
Description:

PiGx BSseq is a data processing pipeline for raw fastq read data of bisulfite experiments; it produces reports on aggregate methylation and coverage and can be used to produce information on differential methylation and segmentation.

r-btools 0.0.1-1.fa21d4c
Propagated dependencies: r-biomformat@1.36.0 r-coin@1.4-3 r-deseq2@1.48.1 r-dplyr@1.1.4 r-genefilter@1.90.0 r-phyloseq@1.52.0 r-picante@1.8.2 r-plotly@4.10.4 r-reshape2@1.4.4 r-stringr@1.5.1 r-vegan@2.6-10
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/twbattaglia/btools
Licenses: Expat
Synopsis: R functions for microbial diversity analyses
Description:

This package provides an assortment of R functions that is suitable for all types of microbial diversity analyses.

java-htsjdk 2.10.1
Dependencies: java-ngs@2.10.5 java-snappy@1.0.3-rc3 java-commons-compress@1.21 java-commons-logging-minimal@1.2 java-commons-jexl@2.1.1 java-xz@1.9
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://samtools.github.io/htsjdk/
Licenses: Expat
Synopsis: Java API for high-throughput sequencing data (HTS) formats
Description:

HTSJDK is an implementation of a unified Java library for accessing common file formats, such as SAM and VCF, used for high-throughput sequencing (HTS) data. There are also an number of useful utilities for manipulating HTS data.

flair 1.6.4
Dependencies: bash-minimal@5.2.37 r-minimal@4.5.0 r-apeglm@1.30.0 r-deseq2@1.48.1 r-drimseq@1.36.0 r-ggplot2@3.5.2 r-lazyeval@0.2.2 r-qqman@0.1.9 r-rlang@1.1.6
Propagated dependencies: python-mappy@2.24 python-numpy@1.26.4 python-ncls@0.0.68 python-pybedtools@0.10.0 python-pysam@0.23.0 python-rpy2@3.5.17 python-scipy@1.12.0 python-tqdm@4.67.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://flair.readthedocs.io/en/latest/
Licenses: Modified BSD
Synopsis: Full-length alternative isoform analysis of RNA
Description:

This package implements FLAIR (Full-Length Alternative Isoform analysis of RNA) for the correction, isoform definition, and alternative splicing analysis of noisy reads. FLAIR has primarily been used for nanopore cDNA, native RNA, and PacBio sequencing reads.

tombo 1.5.1
Propagated dependencies: python-future@1.0.0 python-h5py@3.13.0 python-mappy@2.24 python-numpy@1.26.4 python-scipy@1.12.0 python-tqdm@4.67.1 python-rpy2@3.5.17
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/nanoporetech/tombo
Licenses: MPL 2.0
Synopsis: Analysis of raw nanopore sequencing data
Description:

Tombo is a suite of tools primarily for the identification of modified nucleotides from nanopore sequencing data. Tombo also provides tools for the analysis and visualization of raw nanopore signal.

python-bbknn 1.6.0
Propagated dependencies: python-annoy@1.17.3 python-cython@3.1.2 python-numpy@1.26.4 python-pandas@2.2.3 python-pynndescent@0.5.13 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://github.com/Teichlab/bbknn
Licenses: Expat
Synopsis: Batch balanced KNN
Description:

BBKNN is a batch effect removal tool that can be directly used in the Scanpy workflow. It serves as an alternative to scanpy.api.pp.neighbors(), with both functions creating a neighbour graph for subsequent use in clustering, pseudotime and UMAP visualisation. If technical artifacts are present in the data, they will make it challenging to link corresponding cell types across different batches. BBKNN actively combats this effect by splitting your data into batches and finding a smaller number of neighbours for each cell within each of the groups. This helps create connections between analogous cells in different batches without altering the counts or PCA space.

python-phenograph 1.5.7
Dependencies: louvain@0.2
Propagated dependencies: python-leidenalg@0.10.2 python-numpy@1.26.4 python-psutil@7.0.0 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/dpeerlab/PhenoGraph.git
Licenses: Expat
Synopsis: Graph-based clustering for high-dimensional single-cell data
Description:

PhenoGraph is a clustering method designed for high-dimensional single-cell data. It works by creating a graph representing phenotypic similarities between cells and then identifying communities in this graph.

python-scikit-bio 0.6.0
Propagated dependencies: python-biom-format@2.1.16 python-decorator@5.2.1 python-h5py@3.13.0 python-hdmedians@0.14.2 python-natsort@8.4.0 python-numpy@1.26.4 python-pandas@2.2.3 python-requests@2.32.5 python-scipy@1.12.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://scikit-bio.org
Licenses: Modified BSD
Synopsis: Data structures, algorithms and educational resources for bioinformatics
Description:

This package provides data structures, algorithms and educational resources for bioinformatics.

eddylab-squid 1.9g
Dependencies: perl@5.36.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: http://eddylab.org/software.html
Licenses: GPL 2
Synopsis: C function library for sequence analysis
Description:

SQUID is Sean Eddy's personal library of C functions and utility programs for sequence analysis.

r-seuratwrappers 0.3.1-1.d28512f
Propagated dependencies: r-biocmanager@1.30.25 r-cowplot@1.1.3 r-ggplot2@3.5.2 r-igraph@2.1.4 r-matrix@1.7-3 r-remotes@2.5.0 r-rlang@1.1.6 r-rsvd@1.0.5 r-r-utils@2.13.0 r-seurat@5.3.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/satijalab/seurat-wrappers
Licenses: GPL 3
Synopsis: Community-provided methods and extensions for the Seurat object
Description:

SeuratWrappers is a collection of community-provided methods and extensions for Seurat, curated by the Satija Lab at NYGC. These methods comprise functionality not presently found in Seurat, and are able to be updated much more frequently.

python-dendropy 4.5.1
Propagated dependencies: python-setuptools@80.9.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://dendropy.org/
Licenses: Modified BSD
Synopsis: Library for phylogenetics and phylogenetic computing
Description:

DendroPy is a library for phylogenetics and phylogenetic computing: reading, writing, simulation, processing and manipulation of phylogenetic trees (phylogenies) and characters.

libmaus2 2.0.786
Propagated dependencies: zlib@1.3.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://gitlab.com/german.tischler/libmaus2
Licenses: GPL 2+ GPL 3+
Synopsis: Collection of data structures and algorithms useful for bioinformatics
Description:

libmaus2 is a collection of data structures and algorithms. It contains:

  • I/O classes (single byte and UTF-8);

  • bitio classes (input, output and various forms of bit level manipulation);

  • text indexing classes (suffix and LCP array, fulltext and minute (FM), etc.);

  • BAM sequence alignment files input/output (simple and collating); and many lower level support classes.

r-rnaseqdtu 2.0-1.5bee1e7
Propagated dependencies: r-deseq2@1.48.1 r-devtools@2.4.5 r-dexseq@1.54.1 r-drimseq@1.36.0 r-edger@4.6.2 r-rafalib@1.0.4 r-stager@1.30.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/mikelove/rnaseqDTU/
Licenses: Artistic License 2.0
Synopsis: RNA-seq workflow for differential transcript usage
Description:

This package provides an RNA-seq workflow for differential transcript usage (DTU) following Salmon quantification. This workflow performs a DTU analysis on simulated data. It also shows how to use stageR to perform two-stage testing of DTU, a statistical framework to screen at the gene level and then confirm which transcripts within the significant genes show evidence of DTU.

r-music 1.0.0-2.f21fe67
Propagated dependencies: r-biobase@2.68.0 r-ggplot2@3.5.2 r-matrix@1.7-3 r-mcmcpack@1.7-1 r-nnls@1.6 r-singlecellexperiment@1.30.1 r-toast@1.22.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/xuranw/MuSiC
Licenses: GPL 3+
Synopsis: Multi-subject single cell deconvolution
Description:

MuSiC is a deconvolution method that utilizes cross-subject scRNA-seq to estimate cell type proportions in bulk RNA-seq data.

clipper-peak 2.0.1
Dependencies: htseq@2.0.2 python-pybedtools@0.10.0 python-cython@3.1.2 python-scikit-learn@1.7.0 python-matplotlib@3.8.2 python-pandas@2.2.3 python-pysam@0.23.0 python-numpy@1.26.4 python-scipy@1.12.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/YeoLab/clipper
Licenses: GPL 2
Synopsis: CLIP peak enrichment recognition
Description:

CLIPper is a tool to define peaks in CLIP-seq datasets.

wfmash 0.21.0
Dependencies: atomic-queue@1.6.5 gsl@2.8 htslib@1.21 libdeflate@1.19 zlib@1.3.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/waveygang/wfmash
Licenses: Expat
Synopsis: Base-accurate DNA sequence aligner
Description:

wfmash is a DNA sequence read mapper based on mash distances and the wavefront alignment algorithm. It is a fork of MashMap that implements base-level alignment via the wflign tiled wavefront global alignment algorithm. It completes MashMap with a high-performance alignment module capable of computing base-level alignments for very large sequences.

gdcm 3.2.2
Dependencies: charls@2.4.2 expat@2.7.1 json-c@0.18 openssl@3.0.8 util-linux@2.40.4 zlib@1.3.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://sourceforge.net/projects/gdcm/
Licenses: Modified BSD
Synopsis: Grassroots DICOM library
Description:

Grassroots DICOM (GDCM) is an implementation of the DICOM standard designed to be open source so that researchers may access clinical data directly. GDCM includes a file format definition and a network communications protocol, both of which should be extended to provide a full set of tools for a researcher or small medical imaging vendor to interface with an existing medical database.

seqtk 1.3
Dependencies: zlib@1.3.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/lh3/seqtk
Licenses: Expat
Synopsis: Toolkit for processing biological sequences in FASTA/Q format
Description:

Seqtk is a fast and lightweight tool for processing sequences in the FASTA or FASTQ format. It parses both FASTA and FASTQ files which can be optionally compressed by gzip.

python-cyvcf2 0.31.2
Dependencies: curl@8.6.0 htslib@1.21 libdeflate@1.19 openssl@3.0.8 zlib@1.3.1
Propagated dependencies: python-click@8.1.8 python-coloredlogs@10.0 python-numpy@1.26.4
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/brentp/cyvcf2/
Licenses: Expat
Synopsis: Fast vcf file parsing with Cython and htslib
Description:

Cyvcf2 is a Cython wrapper around htslib built for fast parsing of Variant Call Format (VCF) files.

ngless 1.5.0
Dependencies: bash-minimal@5.2.37 prodigal@2.6.3 bwa@0.7.18 samtools@1.19 minimap2@2.28 megahit@1.2.9 ghc-missingh@1.5.0.1 ghc-aeson@2.0.3.0 ghc-ansi-terminal@0.11.4 ghc-async@2.2.4 ghc-atomic-write@0.2.0.7 ghc-bytestring-lexing@0.5.0.10 ghc-conduit@1.3.5 ghc-conduit-algorithms@0.0.13.0 ghc-conduit-extra@1.3.6 ghc-configurator@0.3.0.0 ghc-convertible@1.1.1.1 ghc-data-default@0.7.1.1 ghc-edit-distance@0.2.2.1 ghc-either@5.0.2 ghc-errors@2.3.0 ghc-extra@1.7.13 ghc-file-embed@0.0.15.0 ghc-filemanip@0.3.6.3 ghc-hashable@1.4.2.0 ghc-hashtables@1.3.1 ghc-hostname@1.0 ghc-http-client@0.7.13.1 ghc-http-conduit@2.3.8.1 ghc-inline-c@0.9.1.8 ghc-inline-c-cpp@0.5.0.0 ghc-int-interval-map@0.0.0.0 ghc-network@3.1.4.0 ghc-optparse-applicative@0.17.1.0 ghc-primitive@0.7.3.0 ghc-random-shuffle@0.0.4 ghc-regex@1.1.0.2 ghc-resourcet@1.2.6 ghc-safe@0.3.19 ghc-stm-chans@3.0.0.9 ghc-stm-conduit@4.0.1 ghc-strict@0.4.0.1 ghc-tar@0.5.1.1 ghc-tar-conduit@0.3.2 ghc-unix-compat@0.5.4 ghc-unliftio@0.2.25.0 ghc-unliftio-core@0.2.1.0 ghc-vector@0.12.3.1 ghc-vector-algorithms@0.8.0.4 ghc-yaml@0.11.11.1 ghc-zlib@0.6.3.0 ghc-bzlib-conduit@0.3.0.2 ghc-double-conversion@2.0.4.2 ghc-safeio@0.0.5.0
Propagated dependencies: r-r6@2.6.1 r-hdf5r@1.3.12 r-iterators@1.0.14 r-itertools@0.1-3 r-matrix@1.7-3
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://ngless.embl.de/
Licenses: Expat
Synopsis: DSL for processing next-generation sequencing data
Description:

Ngless is a domain-specific language for next-generation sequencing (NGS) data processing.

fasttree 2.1.10
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: http://www.microbesonline.org/fasttree
Licenses: GPL 2+
Synopsis: Infers approximately-maximum-likelihood phylogenetic trees
Description:

FastTree can handle alignments with up to a million of sequences in a reasonable amount of time and memory. For large alignments, FastTree is 100-1,000 times faster than PhyML 3.0 or RAxML 7.

r-vitesscer 0.99.0-1.0096880
Propagated dependencies: r-delayedarray@0.34.1 r-future@1.49.0 r-htmlwidgets@1.6.4 r-httpuv@1.6.16 r-jsonlite@2.0.0 r-matrix@1.7-3 r-mime@0.13 r-plumber@1.3.0 r-r6@2.6.1 r-s4vectors@0.46.0 r-stringi@1.8.7 r-stringr@1.5.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/vitessce/vitessceR
Licenses: Expat
Synopsis: Create interactive Single-cell visualizations
Description:

This package provides an R API and htmlwidget facilitating interactive visualization of spatial single-cell data with Vitessce. The R API contains classes and functions for loading single-cell data stored in compatible on-disk formats. The htmlwidget is a wrapper around the Vitessce JavaScript library and can be used in the Viewer tab of RStudio or Shiny apps.

r-cytobackbone 1.0.0-1.4c1a0a3
Propagated dependencies: r-flowcore@2.20.0 r-flowutils@1.59.0 r-fnn@1.1.4.1 r-ggplot2@3.5.2 r-preprocesscore@1.70.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/tchitchek-lab/CytoBackBone
Licenses: GPL 2
Synopsis: Merge phenotype information from different cytometric profiles
Description:

This package implements an algorithm which increases the number of simultaneously measurable markers and in this way helps with study of the immune responses. Thus, the present algorithm, named CytoBackBone, allows combining phenotypic information of cells from different cytometric profiles obtained from different cytometry panels. This computational approach is based on the principle that each cell has its own phenotypic and functional characteristics that can be used as an identification card. CytoBackBone uses a set of predefined markers, that we call the backbone, to define this identification card. The phenotypic information of cells with similar identification cards in the different cytometric profiles is then merged.

r-seuratextend 1.0.7-1.5382e92
Propagated dependencies: r-biocmanager@1.30.25 r-dplyr@1.1.4 r-ggplot2@3.5.2 r-ggpubr@0.6.0 r-glue@1.8.0 r-hdf5r@1.3.12 r-magrittr@2.0.3 r-mosaic@1.9.1 r-purrr@1.0.4 r-remotes@2.5.0 r-reshape2@1.4.4 r-reticulate@1.42.0 r-rlist@0.4.6.2 r-scales@1.4.0 r-seurat@5.3.0 r-seuratextenddata@0.2.1-1.e7f17d4 r-seuratobject@5.1.0 r-tidyr@1.3.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/huayc09/SeuratExtend
Licenses: GPL 3+
Synopsis: Enhanced toolkit for scRNA-seq analysis
Description:

This package is designed to improve and simplify the analysis of scRNA-seq data. It uses the Seurat object for this purpose. It provides an array of enhanced visualization tools, an integrated functional and pathway analysis pipeline, seamless integration with popular Python tools, and a suite of utility functions to aid in data manipulation and presentation.

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Total results: 45109