Back

Patchwork: alignment-based retrieval and concatenation of phylogenetic markers from genomic data

Thalen, F.; Koehne, C. G.; Bleidorn, C.

2022-07-03 bioinformatics
10.1101/2022.07.03.498606 bioRxiv
Show abstract

MotivationIncreased output from the latest short-read sequencers makes low-coverage whole-genome sequencing (LC-WGS) an increasingly affordable approach to large-scale phylogenetics. Despite offering several advantages over prevailing sequencing strategies, few tools exist to work with this data type within a phylogenomic context. Due to the fragmented nature of LC-WGS genomes, their use have mostly been restricted to easy-to-assemble, high-copy-number regions such as organelle genomes and or ribosomal genes. ResultsWe here present a new method for mining phylogenetic markers directly from an assembled genome. Homologous regions are obtained via an alignment search, followed by a "hit-stitching" phase, in which adjacent or overlapping regions are concatenated together. Finally, a novel sliding window technique is used to trim non-coding regions from the alignments. We demonstrate the utility of Patchwork by recovering near-universal single-copy orthologs (USCOs) in the annelid Dimorphilus gyrociliatus. AvailabilityPatchwork is available from Github under the GNU General Public license version 3. Contactfelix.thalen@uni-goettingen.de Supplementary informationSupplementary data are available at github.com/Animal-Evolution-and-Biodiversity/benchmarking-patchwork.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.