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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.


r-azimuth 0.5.0-1.243ee5d
Propagated dependencies: r-bsgenome-hsapiens-ucsc-hg38@1.4.5 r-dt@0.34.0 r-ensdb-hsapiens-v86@2.99.0 r-future@1.68.0 r-ggplot2@4.0.1 r-glmgampoi@1.22.0 r-googlesheets4@1.1.2 r-hdf5r@1.3.12 r-htmltools@0.5.8.1 r-httr@1.4.7 r-jaspar2020@0.99.10 r-jsonlite@2.0.0 r-matrix@1.7-4 r-patchwork@1.3.2 r-plotly@4.11.0 r-presto@1.0.0-1.7636b3d r-rcpp@1.1.0 r-rlang@1.1.6 r-scales@1.4.0 r-seurat@5.3.1 r-seuratdata@0.2.2.9001-1.4dc08e0 r-seuratdisk@0.0.0.9021-1.877d4e1 r-seuratobject@5.2.0 r-shiny@1.11.1 r-shinybs@0.61.1 r-shinydashboard@0.7.3 r-shinyjs@2.1.0 r-signac@1.12.0-1.8ecdde2 r-stringr@1.6.0 r-tfbstools@1.48.0 r-withr@3.0.2
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/satijalab/azimuth
Licenses: GPL 3
Build system: r
Synopsis: Shiny app showcasing a single-cell data query-reference mapping algorithm
Description:

Azimuth utilizes an annotated reference dataset. It automates the processing, analysis, and interpretation. This applies specifically to new single-cell RNA-seq or ATAC-seq experiments. Azimuth leverages a reference-based mapping pipeline that inputs accounts matrix and performs normalization, visualization, cell annotation, and differential expression.

bits 2.13.0-1.3cc4567
Dependencies: gsl@2.8 zlib@1.3.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/arq5x/bits
Licenses: GPL 2
Build system: gnu
Synopsis: Implementation of binary interval search algorithm
Description:

This package provides an implementation of the BITS (Binary Interval Search) algorithm, an approach to interval set intersection. It is especially suited for the comparison of diverse genomic datasets and the exploration of large datasets of genome intervals (e.g. genes, sequence alignments).

python-pysam 0.23.0
Dependencies: ncurses@6.2.20210619 curl@8.6.0 zlib@1.3.1
Propagated dependencies: htslib@1.21
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/pysam-developers/pysam
Licenses: Expat
Build system: pyproject
Synopsis: Python bindings to the SAMtools C API
Description:

Pysam is a Python module for reading and manipulating files in the SAM/BAM format. Pysam is a lightweight wrapper of the SAMtools C API. It also includes an interface for tabix.

flexbar 3.4.0
Dependencies: tbb@2020.3 zlib@1.3.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/seqan/flexbar
Licenses: Modified BSD
Build system: cmake
Synopsis: Barcode and adapter removal tool for sequencing platforms
Description:

Flexbar preprocesses high-throughput nucleotide sequencing data efficiently. It demultiplexes barcoded runs and removes adapter sequences. Moreover, trimming and filtering features are provided. Flexbar increases read mapping rates and improves genome and transcriptome assemblies. It supports next-generation sequencing data in fasta/q and csfasta/q format from Illumina, Roche 454, and the SOLiD platform.

bowtie 2.3.4.3
Dependencies: tbb@2020.3 zlib@1.3.1 python-wrapper@3.11.14
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://bowtie-bio.sourceforge.net/bowtie2/index.shtml
Licenses: GPL 3+
Build system: gnu
Synopsis: Fast and sensitive nucleotide sequence read aligner
Description:

Bowtie 2 is a fast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes. Bowtie 2 indexes the genome with an FM Index to keep its memory footprint small: for the human genome, its memory footprint is typically around 3.2 GB. Bowtie 2 supports gapped, local, and paired-end alignment modes.

gffcompare 0.10.15-1.be56ef4
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/gpertea/gffcompare/
Licenses: Expat Artistic License 2.0
Build system: gnu
Synopsis: Tool for comparing or classifing transcripts of RNA-Seq
Description:

gffcompare is a tool that can:

  1. compare and evaluate the accuracy of RNA-Seq transcript assemblers (Cufflinks, Stringtie);

  2. collapse (merge) duplicate transcripts from multiple GTF/GFF3 files (e.g. resulted from assembly of different samples);

  3. classify transcripts from one or multiple GTF/GFF3 files as they relate to reference transcripts provided in a annotation file (also in GTF/GFF3 format).

python-mofapy2 0.7.1
Propagated dependencies: python-anndata@0.12.1 python-h5py@3.13.0 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://biofam.github.io/MOFA2/
Licenses: LGPL 3
Build system: pyproject
Synopsis: Multi-omics factor analysis
Description:

MOFA is a factor analysis model that provides a general framework for the integration of multi-omic data sets in an unsupervised fashion. Intuitively, MOFA can be viewed as a versatile and statistically rigorous generalization of principal component analysis to multi-omics data. Given several data matrices with measurements of multiple -omics data types on the same or on overlapping sets of samples, MOFA infers an interpretable low-dimensional representation in terms of a few latent factors. These learnt factors represent the driving sources of variation across data modalities, thus facilitating the identification of cellular states or disease subgroups.

python-snaptools 1.4.8
Propagated dependencies: python-future@1.0.0 python-h5py@3.13.0 python-louvain@0.16 python-numpy@1.26.4 python-pybedtools@0.10.0 python-pysam@0.23.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/r3fang/SnapTools
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Tools for processing snap files
Description:

SnapTools can operate on snap files the following types of operations:

  • index the reference genome before alignment;

  • align reads to the corresponding reference genome;

  • pre-process by convert pair-end reads into fragments, checking the mapping quality score, alignment and filtration;

  • create the cell-by-bin matrix.

jamm 1.0.7.6
Dependencies: bash@5.2.37 coreutils@9.1 gawk@5.3.0 perl@5.36.0 r-minimal@4.5.2 r-signal@1.8-1 r-mclust@6.1.2
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/mahmoudibrahim/JAMM
Licenses: GPL 3+
Build system: gnu
Synopsis: Peak finder for NGS datasets
Description:

JAMM is a peak finder for next generation sequencing datasets (ChIP-Seq, ATAC-Seq, DNase-Seq, etc.) that can integrate replicates and assign peak boundaries accurately. JAMM is applicable to both broad and narrow datasets.

r-cytoexplorerdata 1.0.3-1.488edf0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/DillonHammill/CytoExploreRData
Licenses: GPL 2
Build system: r
Synopsis: Flow Cytometry Data for CytoExploreR
Description:

This package contains gatingTemplates, example fcs files and compensation controls for use in CytoExploreR.

gdc-client 2.3
Dependencies: python-importlib-metadata@8.7.0 python-intervaltree@3.1.0 python-jsonschema@4.23.0 python-lxml@6.0.1 python-progressbar2@4.5.0 python-pyyaml@6.0.2 python-requests@2.32.5 python-termcolor@2.5.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://gdc.nci.nih.gov/access-data/gdc-data-transfer-tool
Licenses: ASL 2.0
Build system: pyproject
Synopsis: GDC data transfer tool
Description:

The gdc-client provides several convenience functions over the GDC API which provides general download/upload via HTTPS.

bwa-pssm 0.5.11
Dependencies: gdsl@1.8 zlib@1.3.1 perl@5.36.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/pkerpedjiev/bwa-pssm
Licenses: GPL 3+
Build system: gnu
Synopsis: Burrows-Wheeler transform-based probabilistic short read mapper
Description:

BWA-PSSM is a probabilistic short genomic sequence read aligner based on the use of position specific scoring matrices (PSSM). Like many of the existing aligners it is fast and sensitive. Unlike most other aligners, however, it is also adaptible in the sense that one can direct the alignment based on known biases within the data set. It is coded as a modification of the original BWA alignment program and shares the genome index structure as well as many of the command line options.

delly 0.8.3
Dependencies: boost@1.89.0 bzip2@1.0.8 htslib@1.21 zlib@1.3.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/dellytools/delly
Licenses: GPL 3+
Build system: gnu
Synopsis: Integrated structural variant prediction method
Description:

Delly is an integrated structural variant prediction method that can discover and genotype deletions, tandem duplications, inversions and translocations at single-nucleotide resolution in short-read massively parallel sequencing data. It uses paired-ends and split-reads to sensitively and accurately delineate genomic rearrangements throughout the genome.

lofreq 2.1.5
Dependencies: htslib@1.21 python-wrapper@3.11.14 zlib@1.3.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://csb5.github.io/lofreq/
Licenses: Expat
Build system: gnu
Synopsis: Sensitive variant calling from sequencing data
Description:

LoFreq is a fast and sensitive variant-caller for inferring SNVs and indels from next-generation sequencing data. It makes full use of base-call qualities and other sources of errors inherent in sequencing (e.g. mapping or base/indel alignment uncertainty), which are usually ignored by other methods or only used for filtering.

muscle 3.8.1551
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: http://www.drive5.com/muscle
Licenses: Public Domain
Build system: gnu
Synopsis: Multiple sequence alignment program
Description:

MUSCLE aims to be a fast and accurate multiple sequence alignment program for nucleotide and protein sequences.

r-liana 0.1.14-1.6cab46c
Propagated dependencies: r-basilisk@1.22.0 r-basilisk-utils@1.22.0 r-complexheatmap@2.26.0 r-dplyr@1.1.4 r-ggplot2@4.0.1 r-magrittr@2.0.4 r-omnipathr@3.15.3 r-purrr@1.2.0 r-rcolorbrewer@1.1-3 r-readr@2.1.6 r-reticulate@1.44.1 r-rlang@1.1.6 r-scater@1.38.0 r-scran@1.38.0 r-scuttle@1.20.0 r-seuratobject@5.2.0 r-singlecellexperiment@1.32.0 r-stringr@1.6.0 r-tibble@3.3.0 r-tidyr@1.3.1 r-tidyselect@1.2.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/saezlab/liana/
Licenses: GPL 3
Build system: r
Synopsis: LIANA: a LIgand-receptor ANalysis frAmework
Description:

LIANA provides a number of methods and resource for ligand-receptor interaction inference from scRNA-seq data.

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.

r-rnacrosslinkoo 0.1.3-1.a317e0f
Propagated dependencies: r-classdiscovery@3.4.9 r-doparallel@1.0.17 r-foreach@1.5.2 r-genomicranges@1.62.0 r-ggplot2@4.0.1 r-ggrepel@0.9.6 r-heatmap3@1.1.9 r-igraph@2.2.1 r-iranges@2.44.0 r-mass@7.3-65 r-mixtools@2.0.0.1 r-patchwork@1.3.2 r-r4rna@1.38.0 r-rcolorbrewer@1.1-3 r-reshape2@1.4.5 r-rrna@1.2 r-s4vectors@0.48.0 r-seqinr@4.2-36 r-tidyverse@2.0.0 r-topdom@0.10.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/cran/rnaCrosslinkOO
Licenses: GPL 3
Build system: r
Synopsis: Analysis of RNA crosslinking data
Description:

The package is ideal for analyzing RNA structure and chemical probing data.

python-screed 1.1.3
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/dib-lab/screed/
Licenses: Modified BSD
Build system: pyproject
Synopsis: Short read sequence database utilities
Description:

Screed parses FASTA and FASTQ files and generates databases. Values such as sequence name, sequence description, sequence quality and the sequence itself can be retrieved from these databases.

fastx-toolkit 0.0.14
Dependencies: libgtextutils@0.7
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: http://hannonlab.cshl.edu/fastx_toolkit/
Licenses: AGPL 3+
Build system: gnu
Synopsis: Tools for FASTA/FASTQ file preprocessing
Description:

The FASTX-Toolkit is a collection of command line tools for Short-Reads FASTA/FASTQ files preprocessing.

Next-Generation sequencing machines usually produce FASTA or FASTQ files, containing multiple short-reads sequences. The main processing of such FASTA/FASTQ files is mapping the sequences to reference genomes. However, it is sometimes more productive to preprocess the files before mapping the sequences to the genome---manipulating the sequences to produce better mapping results. The FASTX-Toolkit tools perform some of these preprocessing tasks.

flair 1.6.4
Dependencies: bash-minimal@5.2.37 r-minimal@4.5.2 r-apeglm@1.32.0 r-deseq2@1.50.2 r-drimseq@1.38.0 r-ggplot2@4.0.1 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
Build system: python
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.

r-presto 1.0.0-1.7636b3d
Propagated dependencies: r-data-table@1.17.8 r-dplyr@1.1.4 r-matrix@1.7-4 r-purrr@1.2.0 r-rcpp@1.1.0 r-rcpparmadillo@15.2.2-1 r-rlang@1.1.6 r-tibble@3.3.0 r-tidyr@1.3.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/immunogenomics/presto
Licenses: GPL 3
Build system: r
Synopsis: Fast Functions for Differential Expression using Wilcox and AUC
Description:

This package performs a fast Wilcoxon rank sum test and auROC analysis.

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
Build system: pyproject
Synopsis: Data structures, algorithms and educational resources for bioinformatics
Description:

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

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