evopython: a Python package for feature-focused, comparative genomic data exploration
Mick, S. T.; Fiszbein, A.
Show abstract
MotivationSoftware such as LiftOver allows for the intra- and inter-species conversion of genomic coordinates between genome assemblies, but this coordinate-centric workflow is naive to sequence alterations underling the conversion. For instance, it does not clarify the location of any insertions or deletions that might have occurred. ResultsTo facilitate inter-species, sequence-based analyses, we developed evopython, a simple, object-oriented Python package that enables the sequence-aware resolution of genomic coordinates directly from pairwise and multiple whole-genome alignment data. The output is a Python dictionary storing all information relevant to the alignment: the participating species names, the position of the alignment in each species genome assembly, and the aligned sequences. Availability and implementationThe source code and documentation are available at https://github.com/fiszbein-lab/evopython. Contactanafisz@bu.edu
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
"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.