PharaCon: a new framework for identifying bacteriophages via conditional representation learning

Authors

Yuxuan Pang (ORCID: https://orcid.org/0000-0002-6778-7034)
Zeheng Bai (ORCID: https://orcid.org/0000-0002-4921-0936)
Seiya Imoto (ORCID: https://orcid.org/0000-0002-2989-308X)
Yaozhong Zhang (ORCID: https://orcid.org/0000-0001-5598-2521)

Institutions

Tokyo Medical University (JP)
The University of Tokyo (JP)

Publication Details

Journal: Bioinformatics
Published: 2025-02-20
DOI: https://doi.org/10.1093/bioinformatics/btaf085
Primary Topic: Genomics and Phylogenetic Studies
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

PharaCon: a new framework for identifying bacteriophages via conditional representation learning

Yuxuan Pang, Zeheng Bai, Seiya Imoto, Yaozhong Zhang

Feb 20, 2025

Bioinformatics

Genomics and Phylogenetic Studies

article

PharaCon: a new framework for identifying bacteriophages via conditional representation learning

Yuxuan Pang, Zeheng Bai, Seiya Imoto, Yaozhong Zhang

February 20, 2025article en

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(3)

Tokyo Medical University (JP), The University of Tokyo (JP)

Openalex Percentile: Top 97%

Genomics and Phylogenetic Studies

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

PharaCon: a new framework for identifying bacteriophages via conditional representation learning — Yuxuan Pang, Zeheng Bai, et al. · Bioinformatics (2025) | TGRS Research Map | TGRS