PAIRADISE is a method for detecting allele-specific alternative splicing (ASAS) from RNA-seq data. Unlike conventional approaches that detect ASAS events one sample at a time, PAIRADISE aggregates ASAS signals across multiple individuals in a population. By treating the two alleles of an individual as paired, and multiple individuals sharing a heterozygous SNP as replicates, PAIRADISE formulates ASAS detection as a statistical problem for identifying differential alternative splicing from RNA-seq data with paired replicates.

This package provides different statistical methods to extract biological activities from omics data within a unified framework.

This library contains the genomics components of the Bio++ sequence library. It is part of the Bio++ project.

PyLiftover is a library for quick and easy conversion of genomic (point) coordinates between different assemblies.

This package provides an object for plotting GRanges, RleList, UCSC file formats, and ffTrack objects in multi-track panels.

This package computes informative enrichment and quality measures for ChIP-seq/DNase-seq/FAIRE-seq/MNase-seq data. It can also be used to obtain robust estimates of the predominant fragment length or characteristic tag shift values in these assays.

DoubletFinder identifies doublets by generating artificial doublets from existing scRNA-seq data and defining which real cells preferentially co-localize with artificial doublets in gene expression space. Other DoubletFinder package functions are used for fitting DoubletFinder to different scRNA-seq datasets. For example, ideal DoubletFinder performance in real-world contexts requires optimal pK selection and homotypic doublet proportion estimation. pK selection is achieved using pN-pK parameter sweeps and maxima identification in mean-variance-normalized bimodality coefficient distributions. Homotypic doublet proportion estimation is achieved by finding the sum of squared cell annotation frequencies.

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

This package is tools for analysing intercellular and intracellular signaling from single cell RNA-seq (scRNA-seq) data.

Bioinformaticians often have to convert sequence files between formats and do little manipulations on them, and it's not worth writing scripts for that. Seqmagick is a utility to expose the file format conversion in BioPython in a convenient way. Instead of having a big mess of scripts, there is one that takes arguments.

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.

The Spliced Transcripts Alignment to a Reference (STAR) software is based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure. In addition to unbiased de novo detection of canonical junctions, STAR can discover non-canonical splices and chimeric (fusion) transcripts, and is also capable of mapping full-length RNA sequences.

This package aims to simplify working with genomic region / interval data by providing a common interface that lets you access a wide selection of file types and formats for handling genomic region data---all using the same syntax.

deMULTIplex is an R package for analyzing single-cell RNA sequencing data generated with the MULTI-seq sample multiplexing method. The package includes software to

1. Convert raw MULTI-seq sample barcode library FASTQs into a sample barcode UMI count matrix, and

2. Classify cell barcodes into sample barcode groups.

Aragorn identifies transfer RNA, mitochondrial RNA and transfer-messenger RNA from nucleotide sequences, based on homology to known tRNA consensus sequences and RNA structure. It also outputs the secondary structure of the predicted RNA.

The Spliced Transcripts Alignment to a Reference (STAR) software is based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure. In addition to unbiased de novo detection of canonical junctions, STAR can discover non-canonical splices and chimeric (fusion) transcripts, and is also capable of mapping full-length RNA sequences.

This package provides TagGD barcode demultiplexing utilities for Spatial Transcriptomics data.

Morpheus is a modeling and simulation environment for the study of multi-scale and multicellular systems.

Cutadapt finds and removes adapter sequences, primers, poly-A tails and other types of unwanted sequence from high-throughput sequencing reads.

This R package provides additional capabilities and speed for GenomicRanges operations.

MUSIC is an algorithm for identification of enriched regions at multiple scales in the read depth signals from ChIP-Seq experiments.

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

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.

PiGX scRNAseq is an analysis pipeline for preprocessing and quality control for single cell RNA sequencing experiments. The inputs are read files from the sequencing experiment, and a configuration file which describes the experiment. It produces processed files for downstream analysis and interactive quality reports. The pipeline is designed to work with UMI based methods.