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

Xin He 0036

dblp:69/1798-36 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
1since 2021 · last 2023
0000-0003-3094-9850ORCID · verified

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 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 › genome organization
3d genome analysis
0.712023
Tcbf: a novel user-friendly tool for pan-3D genome analysis of topologically associating domain in eukaryotic organisms · Bioinform. 2023
Bioinformatics and computational biology
genomics
0.712023
Tcbf: a novel user-friendly tool for pan-3D genome analysis of topologically associating domain in eukaryotic organisms · Bioinform. 2023
Bioinformatics and computational biology › comparative genomics › pangenomics
pan-genome analysis
0.212023
Tcbf: a novel user-friendly tool for pan-3D genome analysis of topologically associating domain in eukaryotic organisms · Bioinform. 2023

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

homologous sequence integration · 0.7gene synteny · 0.7
YearPublicationVenuePosition
2023 Tcbf: a novel user-friendly tool for pan-3D genome analysis of topologically associating domain in eukaryotic organisms
abstract
SUMMARY: TAD boundaries are essential for organizing the chromatin spatial structure and regulating gene expression in eukaryotes. However, for large-scale pan-3D genome research, identifying conserved and specific TAD boundaries across different species or individuals is computationally challenging. Here, we present Tcbf, a rapid and powerful Python/R tool that integrates gene synteny blocks and homologous sequences to automatically detect conserved and specific TAD boundaries among multiple species, which can efficiently analyze huge genome datasets, greatly reduce the computational burden and enable pan-3D genome research. AVAILABILITY AND IMPLEMENTATION: Tcbf is implemented by Python/R and is available at https://github.com/TcbfGroup/Tcbf under the MIT license.
Xin He 0036, Xianhui Huang, Yuexuan Long, Zhenping Liu, Xing Chang, Xianlong Zhang, Maojun Wang
Bioinform.1