Gene Fusion Detection in Long-Read Transcriptome Datasets from Multiple Cancer Cell Lines

The application of our tool to the detection of fusion genes in long-read RNA-seq datasets from two different cancer cell lines demonstrated the detection effectiveness of this tool.

Authors

Institutions

Publication Details

Journal
Frontiers in Bioscience-Landmark
Published
2024-12-11
DOI
https://doi.org/10.31083/j.fbl2912413
Citations
1
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
0.23

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Gene Fusion Detection in Long-Read Transcriptome Datasets from Multiple Cancer Cell Lines

Hideo Matsuda, Keigo Masuda, Yoshiaki Sota
1 citations
Frontiers in Bioscience-Landmark
RNA modifications and cancer
0.23
article

Gene Fusion Detection in Long-Read Transcriptome Datasets from Multiple Cancer Cell Lines

Hideo Matsuda, Keigo Masuda, Yoshiaki Sota
article en
1 citations

Abstract

The application of our tool to the detection of fusion genes in long-read RNA-seq datasets from two different cancer cell lines demonstrated the detection effectiveness of this tool.

Frontiers in Bioscience-LandmarkVol. 29(12)
The University of Osaka (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 40%
RNA modifications and cancer
0.23
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.