This package provides a Python client for BioThings API services.

This package allows building the hierarchy of domains starting from Hi-C data. Each hierarchical level is identified by a minimum value of physical insulation between neighboring domains.

This package stores motif collections as lists of position frequency matrix (PWMatrixList) objects provided by the TFBSTools package for use in R with packages like motifmatchr or chromVAR.

The IDR (Irreproducible Discovery Rate) framework is a unified approach to measure the reproducibility of findings identified from replicate experiments and provide highly stable thresholds based on reproducibility.

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 offers a flexible statistical simulator for scRNA-seq data. It can generate data that captures gene correlation. Additionally, it allows for varying the number of cells and sequencing depth.

DNA Features Viewer is a Python library to visualize DNA features, e.g. from GenBank or Gff files, or Biopython SeqRecords.

This package implements two functions:

• pairwise.adonis is a wrapper function for multilevel pairwise comparison using adonis2 from package vegan. The function returns adjusted p-values using p.adjust(). It does not accept interaction between factors neither strata.

• pairwise.adonis2 accepts a model formula like in adonis from vegan. You can use interactions between factors and define strata to constrain permutations. For pairwise comparison a list of unique pairwise combination of factors is produced.

InDelFixer is a sensitive aligner for 454, Illumina and PacBio data, employing a full Smith-Waterman alignment against a reference. This Java command line application aligns Next-Generation Sequencing (NGS) and third-generation reads to a set of reference sequences, by a prior fast k-mer matching and removes indels, causing frame shifts. In addition, only a specific region can be considered. An iterative refinement of the alignment can be performed, by alignment against the consensus sequence with wobbles. The output is in SAM format.

libmaus2 is a collection of data structures and algorithms. It contains:

• I/O classes (single byte and UTF-8);

• bitio classes (input, output and various forms of bit level manipulation);

• text indexing classes (suffix and LCP array, fulltext and minute (FM), etc.);

• BAM sequence alignment files input/output (simple and collating); and many lower level support classes.

FAN-C provides a pipeline for analysing Hi-C data starting at mapped paired-end sequencing reads.

CD-HIT is a program for clustering and comparing protein or nucleotide sequences. CD-HIT is designed to be fast and handle extremely large databases.

Fastp is a tool designed to provide fast all-in-one preprocessing for FastQ files. This tool has multi-threading support to afford high performance.

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

F-Seq is a software package that generates a continuous tag sequence density estimation allowing identification of biologically meaningful sites such as transcription factor binding sites (ChIP-seq) or regions of open chromatin (DNase-seq). Output can be displayed directly in the UCSC Genome Browser.

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.

Mantis is a space-efficient data structure that can be used to index thousands of raw-read genomics experiments and facilitate large-scale sequence searches on those experiments. Mantis uses counting quotient filters instead of Bloom filters, enabling rapid index builds and queries, small indexes, and exact results, i.e., no false positives or negatives. Furthermore, Mantis is also a colored de Bruijn graph representation, so it supports fast graph traversal and other topological analyses in addition to large-scale sequence-level searches.

This package provides a lightweight interface to Stan <https://mc-stan.org>. The CmdStanR interface is an alternative to RStan that calls the command line interface for compilation and running algorithms instead of interfacing with C++ via Rcpp'.

The package reads phylogenetic data in the phyloXML format. It also includes functions for writing data in this format.

Sailfish is a tool for genomic transcript quantification from RNA-seq data. It requires a set of target transcripts (either from a reference or de-novo assembly) to quantify. All you need to run sailfish is a fasta file containing your reference transcripts and a (set of) fasta/fastq file(s) containing your reads.

This package is a Python-based command line interface for processing .bam files with mitochondrial reads and generating high-quality heteroplasmy estimation from sequencing data. The mgatk package places a special emphasis on mitochondrial genotypes generated from single-cell genomics data, primarily mtscATAC-seq, but is generally applicable across other assays.

The NCBI-VDB library implements a highly compressed columnar data warehousing engine that is most often used to store genetic information. Databases are stored in a portable image within the file system, and can be accessed/downloaded on demand across HTTP.

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.

BioJava is a project dedicated to providing a Java framework for processing biological data. It provides analytical and statistical routines, parsers for common file formats, reference implementations of popular algorithms, and allows the manipulation of sequences and 3D structures. The goal of the biojava project is to facilitate rapid application development for bioinformatics.

This package provides the core libraries.