CIGene specifications


Unique identifier OMICS_31662
Name CIGene
Restrictions to use Academic or non-commercial use
Database management system MySQL
Community driven No
Data access File download, Browse
User data submission Not allowed
Maintained Yes


  • person_outline Hong Qu
  • person_outline Min Zhao

Additional information

Publication for CIGene

CIGene citations


Range wide parallel climate associated genomic clines in Atlantic salmon

R Soc Open Sci
PMCID: 5717698
PMID: 29291123
DOI: 10.1098/rsos.171394

[…] There were 2759 loci in common to the CIGENE 6 K and 220 K Affymetrix SNP chips. After combining and filtering data from Bourret et al. [] and Gilbey et al. [], we were able to construct a dataset of 1852 loci that were common to all data […]


Applications of random forest feature selection for fine‐scale genetic population assignment

Evol Appl
PMCID: 5775496
PMID: 29387152
DOI: 10.1111/eva.12524

[…] d documented using a Gel Logic 200 (Kodak, Rochester, NY, USA). Individuals were genotyped using a 220K target, bi‐allelic SNP Affymetrix Axiom array developed by the Centre for Integrative Genetics (CiGene, Ås, Norway). These SNPs were a subset of those in the 930K XHD Ssal array (dbSNP accession numbers ss1867919552–ss1868858426).Ten fish were genotyped twice to assess genotyping error rate. Loc […]

CIGene institution(s)
School of Public Health, Institute for Chemical Carcinogenesis, Guangzhou Medical University, Guangzhou, China; School of Engineering, Faculty of Science, Health, Education and Engineering, University of the Sunshine Coast, QLD, Australia; Center for Bioinformatics, State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Peking University, Beijing, China; School of Public Health, The First affiliated Hospital, Guangzhou Medical University, Guangzhou, China
CIGene funding source(s)
Supported by the National Natural Science Foundation of China (grant no. 31671375, 81273149, 81473040, 81673267), the National Key Research and Development Program of China (No. 2017YFC1201200) and the research start-up fellowship of the University of the Sunshine Coast.

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