The subread package contains the following tools: subread aligner, a general-purpose read aligner; subjunc aligner: detecting exon-exon junctions and mapping RNA-seq reads; featureCounts: counting mapped reads for genomic features; exactSNP: a SNP caller that discovers SNPs by testing signals against local background noises.

This package provides a VCF parser for Python.

This package provides version 1.12 of the HTSlib C library for high-throughput sequence analysis. The package is primarily useful to developers of other R packages who wish to make use of HTSlib.

MinCED is a program to find Clustered Regularly Interspaced Short Palindromic Repeats (CRISPRs) in DNA sequences. It can be used for unassembled metagenomic reads, but is mainly designed for full genomes and assembled metagenomic sequence.

This package lets you read and write files in Generic Feature Format (GFF) with Biopython integration.

VCFtools is a program package designed for working with VCF files, such as those generated by the 1000 Genomes Project. The aim of VCFtools is to provide easily accessible methods for working with complex genetic variation data in the form of VCF files.

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.

Samtools implements various utilities for post-processing nucleotide sequence alignments in the SAM, BAM, and CRAM formats, including indexing, variant calling (in conjunction with bcftools), and a simple alignment viewer.

This package provides a a transcriptomic-based framework to dissect cell communication in a global manner. It integrates an original expert-curated database of ligand-receptor interactions taking into account multiple subunits expression. Based on transcriptomic profiles (gene expression), this package computes communication scores between cells and provides several visualization modes that can be helpful to dig into cell-cell interaction mechanism and extend biological knowledge.

Segemehl is software to map short sequencer reads to reference genomes. Segemehl implements a matching strategy based on enhanced suffix arrays (ESA). It accepts fasta and fastq queries (gzip'ed and bgzip'ed). In addition to the alignment of reads from standard DNA- and RNA-seq protocols, it also allows the mapping of bisulfite converted reads (Lister and Cokus) and implements a split read mapping strategy. The output of segemehl is a SAM or BAM formatted alignment file.

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.

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.

ShoRAH is a project for the analysis of next generation sequencing data. It is designed to analyse genetically heterogeneous samples. Its tools provide error correction, haplotype reconstruction and estimation of the frequency of the different genetic variants present in a mixed sample.

NGS is a domain-specific API for accessing reads, alignments and pileups produced from Next Generation Sequencing. The API itself is independent from any particular back-end implementation, and supports use of multiple back-ends simultaneously.

This package provides a convenient interface to minimap2, a fast and accurate C program to align genomic and transcribe nucleotide sequences.

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.

PiGX RNAseq is an analysis pipeline for preprocessing and reporting for RNA 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 produces a differential expression report comparing samples in an easily configurable manner.

This is an R package for pre-processing of flow and mass cytometry data. This package includes panel editing or renaming for FCS files, bead-based normalization and debarcoding.

This package provides a computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.

This package infers, visualizes and analyzes the cell-cell communication networks from scRNA-seq data.

Genrich is a peak-caller for genomic enrichment assays (e.g. ChIP-seq, ATAC-seq). It analyzes alignment files generated following the assay and produces a file detailing peaks of significant enrichment.

Sjcount is a utility for fast quantification of splice junctions in RNA-seq data. It is annotation-agnostic and offset-aware. This version does count multisplits.

Hotspot is a tool for identifying informative genes (and gene modules) in a single-cell dataset. Importantly, "informative" is decided based on how well a gene's variation agrees with some cell metric---some similarity mapping between cells. Genes which are informative are those whose expression varies in similar way among cells which are nearby in the given metric.

Sambamba is a high performance modern robust and fast tool (and library), written in the D programming language, for working with SAM and BAM files. Current parallelised functionality is an important subset of samtools functionality, including view, index, sort, markdup, and depth.