Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Hai-Jun Liu

dblp:425/2828 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
genomics
0.912025
wgatools: an ultrafast toolkit for manipulating whole-genome alignments · Bioinform. 2025
Bioinformatics and computational biology › genomics
variant calling
0.912025
wgatools: an ultrafast toolkit for manipulating whole-genome alignments · Bioinform. 2025
Bioinformatics and computational biology › sequence alignment › genome alignment
whole-genome alignment
0.912025
wgatools: an ultrafast toolkit for manipulating whole-genome alignments · Bioinform. 2025

Methods — techniques the papers use, named apart from their topics

whole-genome alignment · 0.9
YearPublicationVenuePosition
2025 wgatools: an ultrafast toolkit for manipulating whole-genome alignments
abstract
SUMMARY: With the rapid development of long-read sequencing technologies, the era of individual complete genomes is approaching. We have developed wgatools, a cross-platform, ultrafast toolkit that supports a range of whole-genome alignment formats, offering practical tools for conversion, processing, evaluation, and visualization of alignments, thereby facilitating population-level genome analysis and advancing functional and evolutionary genomics. AVAILABILITY AND IMPLEMENTATION: wgatools supports diverse formats and can process, filter, and statistically evaluate alignments, perform alignment-based variant calling, and visualize alignments both locally and genome-wide. Built with Rust for efficiency and safe memory usage, it ensures fast performance and can handle large datasets consisting of hundreds of genomes. wgatools is published as free software under the MIT open-source license, and its source code is freely available at https://github.com/wjwei-handsome/wgatools and https://zenodo.org/records/14882797.
Wenjie Wei, Songtao Gui, Erik Garrison, Jianbing Yan, Hai-Jun Liu
Bioinform.6