Abstract (Expand)
Authors: Stephanie Walton, Laurence Livermore, Olaf Bánki, Robert W. N. Cubey, Robyn Drinkwater, Markus Englund, Carole Goble, Quentin Groom, Christopher Kermorvant, Isabel Rey, Celia M Santos, Ben Scott, Alan Williams, Zhengzhe Wu
Date Published: 14th Aug 2020
Publication Type: Journal
DOI: 10.3897/rio.6.e57602
Citation: Walton S, Livermore L, Bánki O, Cubey RWN, Drinkwater R, Englund M, Goble C, Groom Q, Kermorvant C, Rey I, Santos CM, Scott B, Williams AR, Wu Z (2020) Landscape Analysis for the Specimen Data Refinery. Research Ideas and Outcomes 6: e57602. https://doi.org/10.3897/rio.6.e57602
skim2mito
skim2mito is a snakemake pipeline for the batch assembly, annotation, and phylogenetic analysis of mitochondrial genomes from low coverage genome skims. The pipeline was designed to work with sequence data from museum collections. However, it should also work with genome skims from recently collected samples.
Contents
- Setup
- Example data
- Input
- Output
- Filtering contaminants
- [Assembly and ...
This is an inclusive collection of workflows related to biodiversity and ecology (especially non-microbial). A big portion covers genome assembly of newly-sequenced species, using long reads (ONT or PacBio HiFi), possibly complemented by chromosome capture (typically HiC) for scaffolding, or/and by short reads (typically Illumina). It also aims at collating workflows related to ecology, biodiversity, biogeography, natural history, and related scientific areas, across the whole WorkflowHub and ...
Maintainers: Matúš Kalaš, Keiler Collier
Number of items: 29
Tags: Biodiversity, Ecology, Genome assembly, dna barcoding, natural history collections