VCF observer: a user-friendly software tool for preliminary VCF file analysis and comparison

By providing a user-friendly interface and supporting essential visualizations, this software enhances the accessibility of VCF file analysis and assists researchers and clinicians in their scientific inquiries.

Authors

Institutions

Publication Details

Journal
BMC Bioinformatics
Published
2024-09-03
DOI
https://doi.org/10.1186/s12859-024-05860-0
Citations
2
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.47

Funders

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

VCF observer: a user-friendly software tool for preliminary VCF file analysis and comparison

Mehmet Arif Ergün, Mehmet Baysan, Rumeysa Aslıhan Ertürk, Ömer Çinal et al.
2 citations
BMC Bioinformatics
Genomics and Phylogenetic Studies
0.47
article

VCF observer: a user-friendly software tool for preliminary VCF file analysis and comparison

Mehmet Arif Ergün, Mehmet Baysan, Rumeysa Aslıhan Ertürk, Ömer Çinal, Abdullah Asım Emül
article en
2 citations

Abstract

By providing a user-friendly interface and supporting essential visualizations, this software enhances the accessibility of VCF file analysis and assists researchers and clinicians in their scientific inquiries.

BMC BioinformaticsVol. 25(1)
İstanbul Nişantaşı Üniversitesi (TR), Turkish Society of Cardiology (TR), Istanbul Technical University (TR)
Türkiye Sağlık Enstitüleri Başkanlığı
Decent work and economic growth
Openalex Percentile: Top 35%
Genomics and Phylogenetic Studies
0.47
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.