iOri-Human specifications

Unique identifier:
OMICS_14983
Restrictions to use:
None
Input format:
FASTA
Stability:
Stable
Interface:
Web user interface
Input data:
DNA sequences
Computer skills:
Basic
Maintained:
Yes

iOri-Human support

Documentation

Maintainer

  • Kuo-Chen Chou <>

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Publications

Institution(s)

Key Laboratory for Neuro-Information of Ministry of Education, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China; Department of Pathophysiology, Southwest Medical University, Luzhou, China; Department of Physics, School of Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, China; Gordon Life Science Institute, Boston, MA, USA

Funding source(s)

This work was supported by the Applied Basic Research Program of Sichuan Province (2015JY0100 and LZ-LY-45), the Scientific Research Foundation of the Education Department of Sichuan Province (11ZB122), the Nature Scientific Foundation of Hebei Province (C2013209105), the Fundamental Research Funds for the Central Universities of China (ZYGX2015J144 and ZYGX2015Z006), the Program for the Top Young Innovative Talents of Higher Learning Institutions of Hebei Province (BJ2014028), and the Outstanding Youth Foundation of North China University of Science and Technology (No. JP201502).

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