SCW: building the whole-genome 3D structures based on extremely sparse single-cell Hi-C data

SCW enables high-precision whole-genome 3D reconstruction from extremely sparse single-cell Hi-C data. SCW outperforms existing tools in structural accuracy and robustly maintains intra/inter-chromosomal contacts. Its versatility is validated across diverse cell types.

Authors

Institutions

Publication Details

Journal
BMC Bioinformatics
Published
2026-03-17
DOI
https://doi.org/10.1186/s12859-026-06421-3
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SCW: building the whole-genome 3D structures based on extremely sparse single-cell Hi-C data

Bishal Shrestha, Zheng Wang, Tong Liu, Hao Zhu
BMC Bioinformatics
Single-cell and spatial transcriptomics
article

SCW: building the whole-genome 3D structures based on extremely sparse single-cell Hi-C data

Bishal Shrestha, Zheng Wang, Tong Liu, Hao Zhu
article en

Abstract

SCW enables high-precision whole-genome 3D reconstruction from extremely sparse single-cell Hi-C data. SCW outperforms existing tools in structural accuracy and robustly maintains intra/inter-chromosomal contacts. Its versatility is validated across diverse cell types.

BMC Bioinformatics
University of Miami (US), Florida Memorial University (US)
Openalex Percentile: Top 19%
Single-cell and spatial transcriptomics
DOIOpen Access PDFOpenAlex
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.