github.com - Sunbeam is a pipeline written in snakemake that simplifies and automates many of the steps in metagenomic sequencing analysis. It uses conda to manage dependencies, so it doesn't have pre-existing dependencies or admin...
github.com - Liftoff is a tool that accurately maps annotations in GFF or GTF between assemblies of the same, or closely-related species. Unlike current coordinate lift-over tools which require a pre-generated “chain” file as input, Liftoff is a...
github.com - judi comes from the idea of bringing the power and efficiency of doit to execute any kind of task under many combinations of parameter settings.
https://github.com/ncbi/JUDI
github.com - Phylogenomic Analysis Pipeline for Herbarium Specimens
What is PhyloHerb: PhyloHerb is a wrapper program to process genome skimming data collected from plant materials. The outcomes include the plastid genome (plastome) assemblies,...
github.com - iMAGine is a metagenomic workflow which includes filtering, assembling, and binning.
This workflow includes the following tools which are needed to be installed in the system.
fastp
spades assembler
QUAST
bwa
samtools
metabat2
CheckM
mrfast.sourceforge.net - mrFAST is a read mapper that is designed to map short reads to reference genome with a special emphasis on the discovery of structural variation and segmental duplications. mrFAST maps short reads with respect to user defined error threshold,...
www.phrap.org - Supports Illumina, 454, other Next-Gen and Sanger Reads and allows mixtures of these read types
Consed includes BamScape which can view bam files with unlimited numbers of reads. BamScape can bring up consed to edit reads and the reference sequence...
lh3.github.io - Heng Li posted several issues with the human reference genomes given in these resources and suggests the following compressed FASTA file to be used as hg38/GRCh38 human reference genome.
if you map reads to GRCh38 or hg38, use the...
sourceforge.net - SuRankCo is a machine learning based software to score and rank contigs from de novo assemblies of next generation sequencing data. It trains with alignments of contigs with known reference genomes and predicts scores and ranking for contigs which...