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

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.


fastqc 0.11.9
Dependencies: icedtea@3.19.0 java-cisd-jhdf5@14.12.6-39162 java-picard@1.113 java-jbzip2@0.9.1 perl@5.36.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://www.bioinformatics.babraham.ac.uk/projects/fastqc/
Licenses: GPL 3+
Build system: ant
Synopsis: Quality control tool for high throughput sequence data
Description:

FastQC aims to provide a simple way to do some quality control checks on raw sequence data coming from high throughput sequencing pipelines. It provides a modular set of analyses which you can use to give a quick impression of whether your data has any problems of which you should be aware before doing any further analysis.

The main functions of FastQC are:

  • Import of data from BAM, SAM or FastQ files (any variant);

  • Providing a quick overview to tell you in which areas there may be problems;

  • Summary graphs and tables to quickly assess your data;

  • Export of results to an HTML based permanent report;

  • Offline operation to allow automated generation of reports without running the interactive application.

newick-utils 1.6-1.da121155
Dependencies: libxml2@2.14.6 flex@2.6.4 bison@3.8.2
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/tjunier/newick_utils
Licenses: Modified BSD
Build system: gnu
Synopsis: Programs for working with newick format phylogenetic trees
Description:

Newick-utils is a suite of utilities for processing phylogenetic trees in Newick format. Functions include re-rooting, extracting subtrees, trimming, pruning, condensing, drawing (ASCII graphics or SVG).

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.

python-pyahocorasick 2.2.0
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/WojciechMula/pyahocorasick
Licenses: Modified BSD
Build system: pyproject
Synopsis: Library for finding multiple key strings in text
Description:

Pyahocorasick is a fast, memory-efficient library for multi-pattern string search. This means that you can find multiple key strings occurrences at once in some input text.

python-multivelo 0.1.2
Propagated dependencies: python-anndata@0.12.1 python-h5py@3.13.0 python-ipywidgets@8.1.2 python-joblib@1.5.2 python-loompy@3.0.7 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-seaborn@0.13.2 python-tqdm@4.67.1 python-umap-learn@0.5.9 scvelo@0.2.4
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/welch-lab/MultiVelo
Licenses: Modified BSD
Build system: pyproject
Synopsis: Velocity inference from single-cell multi-omic data
Description:

MultiVelo uses a probabilistic latent variable model to estimate the switch time and rate parameters of gene regulation, providing a quantitative summary of the temporal relationship between epigenomic and transcriptomic changes.

python-baltica 1.1.2
Propagated dependencies: gunicorn@22.0.0 python-anndata@0.12.1 python-click@8.1.8 python-flask@3.1.0 python-flask-wtf@1.2.2 python-h5py@3.13.0 python-numpy@1.26.4 python-psutil@7.0.0 python-pysam@0.23.0 python-pyyaml@6.0.2 python-scipy@1.12.0 r-biocmanager@1.30.27 r-dplyr@1.1.4 r-genomicranges@1.62.0 r-here@1.0.2 r-openxlsx@4.2.8.1 r-optparse@1.7.5 r-readr@2.1.6 r-rsamtools@2.26.0 r-stringr@1.6.0 r-tidyr@1.3.1 r-upsetr@1.4.0 r-yaml@2.3.10 snakemake@7.32.4
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/dieterich-lab/Baltica
Licenses: Expat
Build system: pyproject
Synopsis: Integrated splice junction usage analysis
Description:

This framework facilitates the execution of differential junction usage (DJU) methods. Additionally, it enables the integration of results from multiple DJU methods.

r-ewastools 1.7.2-1.f7646ca
Propagated dependencies: r-data-table@1.17.8 r-igraph@2.2.1 r-illuminaio@0.52.0 r-mblm@0.12.1 r-quadprog@1.5-8
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://github.com/hhhh5/ewastools/
Licenses: Unlicense
Build system: r
Synopsis: Quality control toolset for the Illumina Infinium DNA methylation
Description:

This package provides a collection of useful functions for working with DNA methylation micro-array data.

qtltools 1.3.1
Dependencies: curl@8.6.0 gsl@2.8 boost@1.89.0 rmath-standalone@4.5.2 htslib@1.3.1 openssl@3.0.8 openblas@0.3.30 zlib@1.3.1
Channel: guix
Location: gnu/packages/bioinformatics.scm (gnu packages bioinformatics)
Home page: https://qtltools.github.io/qtltools/
Licenses: GPL 3+
Build system: gnu
Synopsis: Tool set for molecular QTL discovery and analysis
Description:

QTLtools is a tool set for molecular QTL discovery and analysis. It allows going from the raw genetic sequence data to collection of molecular Quantitative Trait Loci (QTLs) in few easy-to-perform steps.

bison 3.0.5
Dependencies: flex@2.6.4
Propagated dependencies: m4@1.4.19
Channel: guix
Location: gnu/packages/bison.scm (gnu packages bison)
Home page: https://www.gnu.org/software/bison/
Licenses: GPL 3+
Build system: gnu
Synopsis: Yacc-compatible parser generator
Description:

GNU Bison is a general-purpose parser generator. It can build a deterministic or generalized LR parser from an annotated, context-free grammar. It is versatile enough to have many applications, from parsers for simple tools through complex programming languages.

Bison also provides an implementation of yacc, as specified by POSIX.

bison 3.8.2
Dependencies: flex@2.6.4
Propagated dependencies: m4@1.4.19
Channel: guix
Location: gnu/packages/bison.scm (gnu packages bison)
Home page: https://www.gnu.org/software/bison/
Licenses: GPL 3+
Build system: gnu
Synopsis: Yacc-compatible parser generator
Description:

GNU Bison is a general-purpose parser generator. It can build a deterministic or generalized LR parser from an annotated, context-free grammar. It is versatile enough to have many applications, from parsers for simple tools through complex programming languages.

Bison also provides an implementation of yacc, as specified by POSIX.

stig 0.14.1a0
Dependencies: python@3.11.14
Propagated dependencies: python-urwid@3.0.3 python-urwidtrees@1.0.4 python-aiohttp@3.11.11 python-aiohttp-socks@0.10.1 python-pyxdg@0.28 python-blinker@1.9.0 python-natsort@8.4.0 python-async-timeout@5.0.1 python-setproctitle@1.3.7
Channel: guix
Location: gnu/packages/bittorrent.scm (gnu packages bittorrent)
Home page: https://github.com/rndusr/stig
Licenses: GPL 3
Build system: pyproject
Synopsis: TUI and CLI for the BitTorrent client Transmission
Description:

Stig is a TUI and CLI client for the BitTorrent client Transmission.

qbittorrent-nox 5.1.2
Dependencies: boost@1.89.0 libtorrent-rasterbar@2.0.11 openssl@3.0.8 python-wrapper@3.11.14 zlib@1.3.1
Channel: guix
Location: gnu/packages/bittorrent.scm (gnu packages bittorrent)
Home page: https://www.qbittorrent.org/
Licenses: GPL 2+
Build system: qt
Synopsis: Graphical BitTorrent client
Description:

qBittorrent is a BitTorrent client programmed in C++/Qt that uses libtorrent (sometimes called libtorrent-rasterbar) by Arvid Norberg.

It aims to be a good alternative to all other BitTorrent clients out there. qBittorrent is fast, stable and provides unicode support as well as many features.

qbittorrent-enhanced 5.1.2.10
Dependencies: boost@1.89.0 libtorrent-rasterbar@2.0.11 openssl@3.0.8 python-wrapper@3.11.14 qtsvg@6.9.2 zlib@1.3.1
Channel: guix
Location: gnu/packages/bittorrent.scm (gnu packages bittorrent)
Home page: https://github.com/c0re100/qBittorrent-Enhanced-Edition
Licenses: GPL 2+
Build system: qt
Synopsis: Graphical BitTorrent client
Description:

qBittorrent Enhanced is a bittorrent client based on qBittorrent with the following features:

  • Auto Ban Xunlei, QQ, Baidu, Xfplay, DLBT and Offline downloader

  • Auto Ban Unknown Peer from China Option (Default: OFF)

  • Auto Update Public Trackers List (Default: OFF)

  • Auto Ban BitTorrent Media Player Peer Option (Default: OFF)

  • Peer whitelist/blacklist

libtorrent 0.16.1
Dependencies: curl@8.6.0 openssl@3.0.8 zlib@1.3.1
Channel: guix
Location: gnu/packages/bittorrent.scm (gnu packages bittorrent)
Home page: https://github.com/rakshasa/libtorrent
Licenses: GPL 2+
Build system: gnu
Synopsis: BitTorrent library of rtorrent
Description:

LibTorrent is a BitTorrent library used by and developed in parallel with the BitTorrent client rtorrent. It is written in C++ with emphasis on speed and efficiency.

tremc 0.9.3-1.d8deaa5
Dependencies: python@3.11.14
Channel: guix
Location: gnu/packages/bittorrent.scm (gnu packages bittorrent)
Home page: https://github.com/tremc/tremc
Licenses: GPL 3+
Build system: gnu
Synopsis: Console client for the Transmission BitTorrent daemon
Description:

Tremc is a console client, with a curses interface, for the Transmission BitTorrent daemon.

qbittorrent-enhanced-nox 5.1.2.10
Dependencies: boost@1.89.0 libtorrent-rasterbar@2.0.11 openssl@3.0.8 python-wrapper@3.11.14 zlib@1.3.1
Channel: guix
Location: gnu/packages/bittorrent.scm (gnu packages bittorrent)
Home page: https://github.com/c0re100/qBittorrent-Enhanced-Edition
Licenses: GPL 2+
Build system: qt
Synopsis: Graphical BitTorrent client
Description:

qBittorrent Enhanced is a bittorrent client based on qBittorrent with the following features:

  • Auto Ban Xunlei, QQ, Baidu, Xfplay, DLBT and Offline downloader

  • Auto Ban Unknown Peer from China Option (Default: OFF)

  • Auto Update Public Trackers List (Default: OFF)

  • Auto Ban BitTorrent Media Player Peer Option (Default: OFF)

  • Peer whitelist/blacklist

libtorrent-rasterbar 2.0.11
Dependencies: boost@1.83.0 openssl@3.0.8
Channel: guix
Location: gnu/packages/bittorrent.scm (gnu packages bittorrent)
Home page: https://www.libtorrent.org/
Licenses: FreeBSD
Build system: cmake
Synopsis: Feature-complete BitTorrent implementation
Description:

libtorrent-rasterbar is a feature-complete C++ BitTorrent implementation focusing on efficiency and scalability. It runs on embedded devices as well as desktops.

mktorrent 1.1
Channel: guix
Location: gnu/packages/bittorrent.scm (gnu packages bittorrent)
Home page: https://github.com/Rudde/mktorrent
Licenses: Public Domain GPL 2+
Build system: gnu
Synopsis: Utility to create BitTorrent metainfo files
Description:

mktorrent is a simple command-line utility to create BitTorrent metainfo files, often known simply as torrents, from both single files and whole directories. It can add multiple trackers and web seed URLs, and set the private flag to disallow advertisement through the distributed hash table (DHT) and Peer Exchange. Hashing is multi-threaded and will take advantage of multiple processor cores where possible.

deluge 2.2.0
Dependencies: bash-minimal@5.2.37
Propagated dependencies: gtk+@3.24.51 libtorrent-rasterbar@2.0.11 nss-certs@3.101.4 python-pycairo@1.28.0 python-chardet@5.2.0 python-dbus@1.2.18 python-mako@1.3.10 python-pygobject@3.50.0 python-pillow@11.1.0 python-pyopenssl@24.3.0 python-pyxdg@0.28 python-rencode@1.0.8 python-service-identity@24.2.0 python-setproctitle@1.3.7 python-twisted@25.5.0 python-zope-interface@7.2
Channel: guix
Location: gnu/packages/bittorrent.scm (gnu packages bittorrent)
Home page: https://www.deluge-torrent.org/
Licenses: GPL 3+
Build system: pyproject
Synopsis: Fully-featured cross-platform ​BitTorrent client
Description:

Deluge contains the common features to BitTorrent clients such as Protocol Encryption, DHT, Local Peer Discovery (LSD), Peer Exchange (PEX), UPnP, NAT-PMP, Proxy support, Web seeds, global and per-torrent speed limits. Deluge heavily utilises the libtorrent library. It is designed to run as both a normal standalone desktop application and as a client-server.

transmission 4.0.6
Dependencies: bash-minimal@5.2.37 curl@8.6.0 glib@2.83.3 gtkmm@4.14.0 libappindicator@12.10.1-0-298 libevent@2.1.12 openssl@3.0.8 python@3.11.14 zlib@1.3.1
Channel: guix
Location: gnu/packages/bittorrent.scm (gnu packages bittorrent)
Home page: https://transmissionbt.com/
Licenses: GPL 2 GPL 3
Build system: cmake
Synopsis: BitTorrent client
Description:

Transmission is a BitTorrent client that comes with graphical, textual, and Web user interfaces. Transmission also has a daemon for unattended operations. It supports local peer discovery, full encryption, DHT, µTP, PEX and Magnet Links.

rtorrent 0.16.1
Dependencies: libtorrent@0.16.1 ncurses@6.2.20210619 curl@8.6.0 cyrus-sasl@2.1.28 openssl@3.0.8 zlib@1.3.1
Channel: guix
Location: gnu/packages/bittorrent.scm (gnu packages bittorrent)
Home page: https://github.com/rakshasa/rtorrent
Licenses: GPL 2+
Build system: gnu
Synopsis: BitTorrent client with ncurses interface
Description:

rTorrent is a BitTorrent client with an ncurses interface. It supports full encryption, DHT, PEX, and Magnet Links. It can also be controlled via XML-RPC over SCGI.

qbittorrent-no-x 5.1.2
Dependencies: boost@1.89.0 libtorrent-rasterbar@2.0.11 openssl@3.0.8 python-wrapper@3.11.14 zlib@1.3.1
Channel: guix
Location: gnu/packages/bittorrent.scm (gnu packages bittorrent)
Home page: https://www.qbittorrent.org/
Licenses: GPL 2+
Build system: qt
Synopsis: Graphical BitTorrent client
Description:

qBittorrent is a BitTorrent client programmed in C++/Qt that uses libtorrent (sometimes called libtorrent-rasterbar) by Arvid Norberg.

It aims to be a good alternative to all other BitTorrent clients out there. qBittorrent is fast, stable and provides unicode support as well as many features.

qbittorrent 5.1.2
Dependencies: boost@1.89.0 libtorrent-rasterbar@2.0.11 openssl@3.0.8 python-wrapper@3.11.14 qtsvg@6.9.2 zlib@1.3.1
Channel: guix
Location: gnu/packages/bittorrent.scm (gnu packages bittorrent)
Home page: https://www.qbittorrent.org/
Licenses: GPL 2+
Build system: qt
Synopsis: Graphical BitTorrent client
Description:

qBittorrent is a BitTorrent client programmed in C++/Qt that uses libtorrent (sometimes called libtorrent-rasterbar) by Arvid Norberg.

It aims to be a good alternative to all other BitTorrent clients out there. qBittorrent is fast, stable and provides unicode support as well as many features.

libtorrent-rasterbar 1.2.20
Dependencies: boost@1.83.0 openssl@3.0.8
Channel: guix
Location: gnu/packages/bittorrent.scm (gnu packages bittorrent)
Home page: https://www.libtorrent.org/
Licenses: FreeBSD
Build system: cmake
Synopsis: Feature-complete BitTorrent implementation
Description:

libtorrent-rasterbar is a feature-complete C++ BitTorrent implementation focusing on efficiency and scalability. It runs on embedded devices as well as desktops.

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