Name: Orca: Sequence-based modeling of genome 3D architecture from kilobase to chromosome-scale (Part1)
Creator: Zhou, Jian (10336650)
Keywords: Evolutionary Biology, Ecology, Information Systems not elsewhere classified, Marine Biology, modeling framework, Inorganic Chemistry, core resource files, Sequence-based modeling, hg 38 reference genome, genome 3 D architecture

Research datakeyboard_double_arrow_right Dataset 10 Mar 2021Publisher:Zenodo

Authors: Zhou, Jian (10336650);

doi: 10.5281/zenodo.4594207 , 10.5281/zenodo.6234936 , 10.5281/zenodo.4594206

Orca: Sequence-based modeling of genome 3D architecture from kilobase to chromosome-scale (Part1)

- Summary
- Subjects
- Metrics

Abstract

This dataset (Part 1) provide the core resource files required for using the code of Orca, including models and the hg38 reference genome (resources_core.tar.gz), and the micro-C mcool files required for extracting the experimental observations (resources_mcools.tar.gz). Orca is a sequence-based deep learning modeling framework for multiscale genome 3D architecture.

Keywords

Evolutionary Biology, Ecology, Information Systems not elsewhere classified, Marine Biology, modeling framework, Inorganic Chemistry, core resource files, Sequence-based modeling, hg 38 reference genome, genome 3 D architecture, Genetics, micro-C mcool files, Molecular Biology, Orca, Biological Sciences not elsewhere classified

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

Usage byUsageCounts

visibility	views	36
download	downloads	123

36
views
123
downloads
Powered by

Found an issue? Give us feedback

visibility

download

Average

123