DIAMOND is a sequence aligner for protein and translated DNA searches, designed for high performance analysis of big sequence data.

The key features are: + Pairwise alignment of proteins and translated DNA at 500x-20,000x speed of BLAST. + Frameshift alignments for long read analysis. + Low resource requirements and suitable for running on standard desktops or laptops. + Various output formats, including BLAST pairwise, tabular and XML, as well as taxonomic classification.

Please visit https://github.com/bbuchfink/diamond for full documentation.

Releases can be downloaded from https://github.com/bbuchfink/diamond/releases

BUSCO v3 provides quantitative measures for the assessment of genome assembly, gene set, and transcriptome completeness, based on evolutionarily-informed expectations of gene content from near-universal single-copy orthologs selected from OrthoDB v9. BUSCO assessments are implemented in open-source software, with a large selection of lineage-specific sets of Benchmarking Universal Single-Copy Orthologs. These conserved orthologs are ideal candidates for large-scale phylogenomics studies, and the annotated BUSCO gene models built during genome assessments provide a comprehensive gene predictor training set for use as part of genome annotation pipelines. Please visit http://busco.ezlab.org/ for full documentation. The BUSCO assessment software distribution is available from the public GitLab project: https://gitlab.com/ezlab/busco where it can be downloaded or cloned using a git client (git clone https://gitlab.com/ezlab/busco.git). We encourage users to opt for the git client option in order to facilitate future updates. BUSCO is written for Python 3.x and Python 2.7+. It runs with the standard packages. We recommend using Python3 when available.

normalizes input sequeces to FASTA with fixed number of sequence characters per line using esl-reformat from https://github.com/EddyRivasLab/easel