- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
HiCmapTools: a tool to access HiC contact maps ; volume:23 ; number:1 ; day:10 ; month:2 ; year:2022 ; pages:1-8 ; date:12.2022
BMC bioinformatics ; 23, Heft 1 (10.2.2022), 1-8, 12.2022
- Creator
-
Chang, Jia-Ming
Weng, Yi-Fu
Chang, Wei-Ting
Lin, Fu-An
Cavalli, Giacomo
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s12859-022-04589-y
- URN
-
urn:nbn:de:101:1-2022051620300019804921
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:31 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Chang, Jia-Ming
- Weng, Yi-Fu
- Chang, Wei-Ting
- Lin, Fu-An
- Cavalli, Giacomo
- SpringerLink (Online service)
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Author Correction: Epiphany: predicting Hi-C contact maps from 1D epigenomic signals
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GreenHill: a de novo chromosome-level scaffolding and phasing tool using Hi-C
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Software tools for visualizing Hi-C data
Epiphany: predicting Hi-C contact maps from 1D epigenomic signals
HiCBin: binning metagenomic contigs and recovering metagenome-assembled genomes using Hi-C contact maps
ChromContact: A web tool for analyzing spatial contact of chromosomes from Hi-C data
Author Correction: Epiphany: predicting Hi-C contact maps from 1D epigenomic signals
HiFive: a tool suite for easy and efficient HiC and 5C data analysis
Loop detection using Hi-C data with HiCExplorer
Galaxy HiCExplorer 3: a web server for reproducible Hi-C, capture Hi-C and single-cell Hi-C data analysis, quality control and visualization
GreenHill: a de novo chromosome-level scaffolding and phasing tool using Hi-C
GrapHi-C: graph-based visualization of Hi-C datasets
dcHiC detects differential compartments across multiple Hi-C datasets