TY - JOUR
T1 - COXPRESdb v7
T2 - A gene coexpression database for 11 animal species supported by 23 coexpression platforms for technical evaluation and evolutionary inference
AU - Obayashi, Takeshi
AU - Kagaya, Yuki
AU - Aoki, Yuichi
AU - Tadaka, Shu
AU - Kinoshita, Kengo
N1 - Funding Information:
Platform Project for Supporting Drug Discovery and Life Science Research (Basis for Supporting Innovative Drug Discovery and Life Science Research (BINDS)) from AMED [JP187am0101067]. Funding for open access charge: Japan Agency for Medical Research and Development [JP187am0101067].
Publisher Copyright:
© 2018 The Author(s).
PY - 2019/1/8
Y1 - 2019/1/8
N2 - The advent of RNA-sequencing and microarray technologies has led to rapid growth of transcriptome data generated for a wide range of organisms, under various cellular, organ and individual conditions. Since the number of possible combinations of intercellular and extracellular conditions is almost unlimited, cataloging all transcriptome conditions would be an immeasurable challenge. Gene coexpression refers to the similarity of gene expression patterns under various conditions, such as disease states, tissue types, and developmental stages. Since the quality of gene coexpression data depends on the quality and quantity of transcriptome data, timely usage of the growing data is key to promoting individual research in molecular biology. COXPRESdb (http://coxpresdb.jp) is a database providing coexpression information for 11 animal species. One characteristic feature of COXPRESdb is its ability to compare multiple coexpression data derived from different transcriptomics technologies and different species, which strongly reduces false positive relationships in individual gene coexpression data. Here, we summarized the current version of this database, including 23 coexpression platforms with the highest-level quality till date. Using various functionalities in COXPRESdb, the new coexpression data would support a broader area of research from molecular biology to medical sciences.
AB - The advent of RNA-sequencing and microarray technologies has led to rapid growth of transcriptome data generated for a wide range of organisms, under various cellular, organ and individual conditions. Since the number of possible combinations of intercellular and extracellular conditions is almost unlimited, cataloging all transcriptome conditions would be an immeasurable challenge. Gene coexpression refers to the similarity of gene expression patterns under various conditions, such as disease states, tissue types, and developmental stages. Since the quality of gene coexpression data depends on the quality and quantity of transcriptome data, timely usage of the growing data is key to promoting individual research in molecular biology. COXPRESdb (http://coxpresdb.jp) is a database providing coexpression information for 11 animal species. One characteristic feature of COXPRESdb is its ability to compare multiple coexpression data derived from different transcriptomics technologies and different species, which strongly reduces false positive relationships in individual gene coexpression data. Here, we summarized the current version of this database, including 23 coexpression platforms with the highest-level quality till date. Using various functionalities in COXPRESdb, the new coexpression data would support a broader area of research from molecular biology to medical sciences.
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U2 - 10.1093/nar/gky1155
DO - 10.1093/nar/gky1155
M3 - Article
C2 - 30462320
AN - SCOPUS:85059794889
SN - 0305-1048
VL - 47
SP - D55-D62
JO - Nucleic Acids Research
JF - Nucleic Acids Research
IS - D1
ER -