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 2.

This package provides an interface for the Basic Local Alignment Search Tool (BLAST) to search genetic sequence data bases. This includes interfaces to blastn, blastp, blastx, and makeblastdb.

scvi-tools (single-cell variational inference tools) is a package for probabilistic modeling and analysis of single-cell omics data, built on top of PyTorch and AnnData.

This package provides tools for rapid prokaryotic genome annotation.

Primer3-py is a Python-abstracted API for the popular Primer3 library. The intention is to provide a simple and reliable interface for automated oligo analysis and design.

Primer3-py also includes bindings for the Primer3 primer design engine if you’d prefer to use an established pipeline. The IO parameters mirror those of the original Primer3, but you don’t have to deal with messy and slow file IO for your automated workflows.

This package provides utilities for comparing ARGs represented as tree sequences. It includes tooling to quantify similarities and differences between ARG topologies, haplotype paths, and related structures.

Vcztools provides a Python API to efficiently read VCZ data from local files and remote object stores using bcftools-compatible region and variant filtering syntax. It aims to provide a drop-in replacement for a subset of bcftools functionality.

FastQC aims to provide a QC report which can spot problems which originate either in the sequencer or in the starting library material. It can either run as a stand alone interactive application for the immediate analysis of small numbers of FastQ files, or it can be run in a non-interactive mode where it would be suitable for integrating into a larger analysis pipeline for the systematic processing of large numbers of files.

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.

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 provides an implementation of run length arithmetic in Python using Cython. This is a support library for the pyranges stack.

Framework for analyzing low-depth NGS data in heterogeneous/structured populations using PCA. Population structure is inferred by estimating individual allele frequencies in an iterative approach using a truncated SVD model. The covariance matrix is estimated using the estimated individual allele frequencies as prior information for the unobserved genotypes in low-depth NGS data.

The estimated individual allele frequencies can further be used to account for population structure in other probabilistic methods. pcangsd can be used for the following analyses:

• Covariance matrix

• Admixture estimation

• Inbreeding coefficients (both per-sample and per-site)

• HWE test

• Genome-wide selection scans

• Genotype calling

• Estimate NJ tree of samples

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 contains a collection of bioinformatics data structures and algorithms. It provides I/O classes, bitio classes, text indexing classes and BAM sequence alignment functionality.

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.

Succinct tree sequences are an efficient way of representing the genetic history - often technically referred to as an Ancestral Recombination Graph or ARG - of a set of DNA sequences.

The tree sequence format is output by a number of external software libraries and programs (such as msprime, SLiM, fwdpp, and tsinfer) that either simulate or infer the evolutionary ancestry of genetic sequences. This library provides the underlying functionality that such software uses to load, examine, and manipulate ARGs in tree sequence format, including efficientaccess to the correlated sequence of trees along a genome and general methods to calculate genetic statistics.

Succinct tree sequences are an efficient way of representing the genetic history - often technically referred to as an Ancestral Recombination Graph or ARG - of a set of DNA sequences.

The tree sequence format is output by a number of external software libraries and programs (such as msprime, SLiM, fwdpp, and tsinfer) that either simulate or infer the evolutionary ancestry of genetic sequences. This library provides the underlying functionality that such software uses to load, examine, and manipulate ARGs in tree sequence format, including efficientaccess to the correlated sequence of trees along a genome and general methods to calculate genetic statistics.

This package provides a component of the Trinity Cancer Transcriptome Analysis Toolkit (CTAT). It uses the STAR aligner to identify candidate fusion transcripts supported by Illumina reads. It further processes the output generated by the STAR aligner to map junction reads and spanning reads to a reference annotation set.

PyRanges is a Python library specifically designed for efficient and intuitive manipulation of genomics data, particularly genomic intervals (like genes, genomic features, or reads). The library is optimized for fast querying and manipulation of genomic annotations.

pyslim is a small python package to help analyse and manipulate tree sequences produced by SLiM, e.g., to identify individuals alive at a particular time, or to recapitate the results of a SLiM simulation.

msprime is a population genetics simulator based on tskit. Msprime can simulate random ancestral histories for a sample of individuals (consistent with a given demographic model) under a range of different models and evolutionary processes. Msprime can also simulate mutations on a given ancestral history (which can be produced by msprime or other programs supporting tskit) under a variety of genome sequence evolution models.