BOL

github.com - KAT is a suite of tools that analyse jellyfish hashes or sequence files (fasta or fastq) using kmer counts. The following tools are currently available in KAT: hist: Create an histogram of k-mer occurrences from a sequence file. Adds metadata in...

FYI, I've found it useful to use MUMmer to extract the specific changes that Racon makes, so I can evaluate them individually: minimap -t 24 assembly.fasta long_reads.fastq.gz | racon -t 24 long_reads.fastq.gz - assembly.fasta...

github.com - HM2 can process any diploid assemblies, but it is especially suitable for diploid assemblies with high heterozygosity (≥3%), which can be difficult for other tools. This pipeline also implements flexible and sensitive assembly error detection, a...

mitos.bioinf.uni-leipzig.de - Allows automatic annotation of metazoan mitochondrial genomes. MITOS is a pipeline designed to compute a consistent de novo annotation of the mitogenomic sequences. The software allows for a systematic error screening, the standardisation of gene...

github.com - SKESA is a DeBruijn graph-based de-novo assembler designed for assembling reads of microbial genomes sequenced using Illumina. Comparison with SPAdes and MegaHit shows that SKESA produces assemblies that have high sequence quality and contiguity,...

genoplotr.r-forge.r-project.org - genoPlotR is a R package to produce reproducible, publication-grade graphics of gene and genome maps. It allows the user to read from usual format such as protein table files and blast results, as well as home-made tabular files. Features Linear...

Choose the appropriate parameters to run Canu and run it.

www.nature.com - Validated a widely accessible approach that can be used to establish functional causality for noncoding sequence variants identified by GWASs. https://www.nature.com/articles/nm.3975

journals.plos.org - Chromosome-level genome assembler combining multiple de novo assemblies https://github.com/jkimlab/IMAP

On Jan 10 2020, while news of the first fatality was barely trickling in, the 29,903 letters constituting the viral genome from an affected individual in Wuhan had already been elucidated (even though a few corrections were made subsequently).