机构：[1]School of Computing, University of South Alabama, Shelby Hall, Room 1123, 150 Jaguar Drive Mobile, AL 36688, USA[2]Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah, USA[3]University at Buffalo – SUNY, Buffalo, New York 14260, USA[4]Jackson Laboratory, Bar Harbor, Connecticut 04609, USA[5]Computer and Information Science Department, University of Oregon, Eugene, Oregon 97403, USA[6]Miracle Query, Inc., Eugene, Oregon 97405, USA[7]Georgetown University Medical Center, Washington DC 20007, USA[8]University at Buffalo – SUNY, Buffalo, New York 14260, USA[9]Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, Kansas 66045, USA[10]Division of Biomedical Statistics and Informatics, College of Medicine at Mayo Clinic, Rochester, Minnesota 55905, USA[11]Data Coordination and Integration Center, University of Miami, Miami, Florida 33146, USA[12]Endocrinology Department, Kunming Medical University, Kunming, Yunnan, 650032 China[13]School of Computing, University of South Alabama, Mobile, Alabama 36688, USA[14]Computer and Information Science, University of Oregon, Eugene, Oregon 97403, USA[15]School of Computing, University of South Alabama, Mobile, Alabama 36688, USA[16]School of Computing, University of South Alabama, Mobile, Alabama 36688, USA[17]Lab Animal Medicine, Microbiology, Immunology and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA[18]Department of Computer Science, University of Central Florida, Orlando, Florida 32816, USA[19]Cancer Biology, Washington University in St. Louis, St. Louis, Missouri 63130, USA[20]Mitchell Cancer Institute, University of South Alabama, Mobile, Alabama 36604, USA[21]Department of Biology, University of South Alabama, Mobile, Alabama 36688, USA[22]Mitchell Cancer Institute, University of South Alabama, Mobile, Alabama 36604, USA[23]Endocrinology Department,the First Affiliated Hospital of Kunming Medical University内分泌一科内分泌科内科科室
Identification of non-coding RNAs (ncRNAs) has been significantly
improved over the past decade. On the other hand, semantic annotation of
ncRNA data is facing critical challenges due to the lack of a comprehensive
ontology to serve as common data elements and data exchange standards in the
field. We developed the Non-Coding RNA Ontology (NCRO) to handle this
situation. By providing a formally defined ncRNA controlled vocabulary, the
NCRO aims to fill a specific and highly needed niche in semantic annotation of
large amounts of ncRNA biological and clinical data.
第一作者机构：[1]School of Computing, University of South Alabama, Shelby Hall, Room 1123, 150 Jaguar Drive Mobile, AL 36688, USA
通讯作者：
推荐引用方式(GB/T 7714)：
Jingshan Huang,Karen Eilbeck,Barry Smith,et al.The development of non-coding RNA ontology[J].INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS.2016,15(3):214-232.doi:10.1504/IJDMB.2016.077072.
APA：
Jingshan Huang,Karen Eilbeck,Barry Smith,Judith A. Blake,Dejing Dou...&Ming Tan.(2016).The development of non-coding RNA ontology.INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS,15,(3)
MLA：
Jingshan Huang,et al."The development of non-coding RNA ontology".INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS 15..3(2016):214-232
