This package provides a tool to extract assembly statistics from FASTA and FASTQ files.

This package provides a new way of computing bootstrap supports in large phylogenies.

Primer3 is a widely used program for designing PCR primers. PCR is an essential and ubiquitous tool in genetics and molecular biology. Primer3 can also design hybridization probes and sequencing primers.

Spoa (SIMD POA) is a c++ implementation of the partial order alignment (POA) algorithm, which is used to generate consensus sequences. It supports three alignment modes: local (Smith-Waterman), global (Needleman-Wunsch) and semi-global alignment (overlap), and three gap modes: linear, affine and convex (piecewise affine).

Bioparser is a C++ header only parsing library for several bioinformatics formats (FASTA/Q, MHAP/PAF/SAM), with support for zlib compressed files.

This package computes metrics and generates Interactive QC plots from the sequencing summary report generated by Oxford Nanopore technologies basecaller.

This package contains a set of common Perl utilities for generating consistent Vcf headers. It primarily exists to prevent code duplication between some other projects.

The IQ-TREE software was created as the successor of IQPNNI and TREE-PUZZLE (thus the name IQ-TREE). IQ-TREE was motivated by the rapid accumulation of phylogenomic data, leading to a need for efficient phylogenomic software that can handle a large amount of data and provide more complex models of sequence evolution. To this end, IQ-TREE can utilize multicore computers and distributed parallel computing to speed up the analysis. IQ-TREE automatically performs checkpointing to resume an interrupted analysis.

As input IQ-TREE accepts all common sequence alignment formats including PHYLIP, FASTA, Nexus, Clustal and MSF. As output IQ-TREE will write a self-readable report file (name suffix .iqtree), a NEWICK tree file (.treefile) which can be visualized by tree viewer programs such as FigTree, Dendroscope or iTOL.

Key features of IQ-TREE:

• Fast and effective stochastic algorithm to reconstruct phylogenetic trees by maximum likelihood;

• An ultrafast bootstrap approximation (UFBoot) to assess branch supports;

• An ultrafast and automatic model selection (ModelFinder);

• A flexible simulator (AliSim) which can simulate sequence alignments under more realistic models than Seq-Gen and INDELible;

• Several fast branch tests like SH-aLRT and aBayes test and tree topology tests like the approximately unbiased (AU) test.

This package provides IQ-TREE version 3.

This package contains a few simple math function for other Oxford Nanopore processing scripts.

This package provides an implementation of the CaVEMan program. It uses an expectation maximisation approach to calling single base substitutions in paired data. It is designed for use with a compute cluster. Most steps in the program make use of an index parameter. The split step is designed to divide the genome into chunks of adjustable size to optimise for runtime/memory usage requirements.

This package primarily exists to prevent code duplication between some other projects, specifically AscatNGS and Battenburg.

SHARC is a pipeline for somatic SV calling and filtering from tumor-only Nanopore sequencing data. It performs mapping, SV calling, SV filtering, random forest classification, blacklist filtering and SV prioritization, followed by automated primer design for PCR amplicons of 80-120 bp that are useful to track cancer ctDNA molecules in liquid biopsies.

This package provides tools for rapid prokaryotic genome annotation.

MetaMaps is tool specifically developed for the analysis of long-read (PacBio/Oxford Nanopore) metagenomic datasets.

This package provides a subset of the Regulatory Sequence Analysis Tools (RSAT).

SHARC is a pipeline for somatic SV calling and filtering from tumor-only Nanopore sequencing data. It performs mapping, SV calling, SV filtering, random forest classification, blacklist filtering and SV prioritization, followed by automated primer design for PCR amplicons of 80-120 bp that are useful to track cancer ctDNA molecules in liquid biopsies.

The goal of NicheNet is to study intercellular communication from a computational perspective. NicheNet uses human or mouse gene expression data of interacting cells as input and combines this with a prior model that integrates existing knowledge on ligand-to-target signaling paths. This allows to predict ligand-receptor interactions that might drive gene expression changes in cells of interest.

This package provides a phylogeny dating method using least-squares algorithms and criteria.