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

This package provides string parsing functionalities for generating plotnames, filenames and paths.

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.

An ORF caller finds stretches of DNA that, when translated, are not interrupted by stop codons. OrfM finds and prints these ORFs.

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.

The SCDE package implements a set of statistical methods for analyzing single-cell RNA-seq data. SCDE fits individual error models for single-cell RNA-seq measurements. These models can then be used for assessment of differential expression between groups of cells, as well as other types of analysis. The SCDE package also contains the pagoda framework which applies pathway and gene set overdispersion analysis to identify aspects of transcriptional heterogeneity among single cells.

The HH-suite is a software package for sensitive protein sequence searching based on the pairwise alignment of hidden Markov models (HMMs).

This package adds 3D perspective plotting of points, paths, and line, 3D perspective axes, 3D perspective annotations, and wireframe plots.

This is a package for normalizing Hi-C contact counts efficiently.

This is a fast parser for minimap2 PAF (Pairwise mApping Format) files.

This is a package for fast Non-negative Matrix Factorization (NMF) with automatic rank-determination for dimension reduction of single-cell data using Seurat, RcppML nmf, SingleCellExperiments and similar.

SCENIC (Single-cell regulatory network inference and clustering) is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.

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.

This package provides an accurate VCF/GFF3/GTF LiftOver tool for new genome assemblies.

This package provides tools for dealing with Unique Molecular Identifiers (UMIs) and Random Molecular Tags (RMTs) in genetic sequences. There are six tools: the extract and whitelist commands are used to prepare a fastq containing UMIs +/- cell barcodes for alignment. The remaining commands, group, dedup, and count/count_tab, are used to identify PCR duplicates using the UMIs and perform different levels of analysis depending on the needs of the user.

twobitreader is a Python library for reading .2bit files as used by the UCSC genome browser.

Bioawk is an extension to Brian Kernighan's awk, adding the support of several common biological data formats, including optionally gzip'ed BED, GFF, SAM, VCF, FASTA/Q and TAB-delimited formats with column names. It also adds a few built-in functions and a command line option to use TAB as the input/output delimiter. When the new functionality is not used, bioawk is intended to behave exactly the same as the original BWK awk.

Bio++ is a set of C++ libraries for Bioinformatics, including sequence analysis, phylogenetics, molecular evolution and population genetics. This library provides population genetics-related modules.

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.

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.

LibSBML is a library to help you read, write, manipulate, translate, and validate SBML files and data streams. The Systems Biology Markup Language (SBML) is an interchange format for computer models of biological processes. SBML is useful for models of metabolism, cell signaling, and more. It continues to be evolved and expanded by an international community.

This package is a Python wrapper for Aaron Quinlan's BEDtools programs, which are widely used for genomic interval manipulation or "genome algebra". pybedtools extends BEDTools by offering feature-level manipulations from with Python.

Bio::Kseq provides ruby bindings to the kseq.h FASTA and FASTQ parsing code. It provides a fast iterator over sequences and their quality scores.

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.