CoP: a database for characterizing co-expressed gene modules with biological information in plants
نویسندگان
چکیده
UNLABELLED Using a large dataset (10 022 assays) obtained from public plant microarray databases, we developed the CoP database for associating co-expressed gene modules with biological information such as gene ontology terms and, if available, metabolic pathway names. The Confeito algorithm developed previously in our laboratory, which is suitable to calculate the interconnectivity between genes in co-expressed gene network, was applied to extract co-expressed gene modules. The database includes the gene modules for Arabidopsis thaliana (thale cress) and seven crops, Glycine max (soybean), Hordeum vulgare (barley), Oryza sativa (rice), Populus trichocarpa (poplar), Triticum aestivum (wheat), Vitis vinifera (grape) and Zea mays (maize). AVAILABILITY The CoP database is available at: http://webs2.kazusa.or.jp/kagiana/cop0911/.
منابع مشابه
Identification of Prognostic Genes in Her2-enriched Breast Cancer by Gene Co-Expression Net-work Analysis
Introduction: HER2-enriched subtype of breast cancer has a worse prognosis than luminal subtypes. Recently, the discovery of targeted therapies in other groups of breast cancer has increased patient survival. The aim of this study was to identify genes that affect the overall survival of this group of patients based on a systems biology approach. Methods: Gene expression data and clinical infor...
متن کاملExploring Gene Signatures in Different Molecular Subtypes of Gastric Cancer (MSS/ TP53+, MSS/TP53-): A Network-based and Machine Learning Approach
Gastric cancer (GC) is one of the leading causes of cancer mortality, worldwide. Molecular understanding of GC’s different subtypes is still dismal and it is necessary to develop new subtype-specific diagnostic and therapeutic approaches. Therefore developing comprehensive research in this area is demanding to have a deeper insight into molecular processes, underlying these subtypes. In this st...
متن کاملUsing the Protein-protein Interaction Network to Identifying the Biomarkers in Evolution of the Oocyte
Background Oocyte maturity includes nuclear and cytoplasmic maturity, both of which are important for embryo fertilization. The development of oocyte is not limited to the period of follicular growth, and starts from the embryonic period and continues throughout life. In this study, for the purpose of evaluating the effect of the FSH hormone on the expression of genes, GEO access codes for this...
متن کاملPrimary root growth, tissue expression and co-expression analysis of a receptor kinase mutant in Arabidopsis
There is no functional annotation for the majority of the several hundreds of receptor-like kinases in plants. A direct way of inferring the function of these proteins is to study the phenotype that results from loss of function mutants such as T-DNA mutant lines. In this research a function (phenotype) to At2g37050 gene that encodes a receptor like kinase in Arabidopsis T-DNA line was...
متن کاملGlobal Landscape of a Co-Expressed Gene Network in Barley and its Application to Gene Discovery in Triticeae Crops
Accumulated transcriptome data can be used to investigate regulatory networks of genes involved in various biological systems. Co-expression analysis data sets generated from comprehensively collected transcriptome data sets now represent efficient resources that are capable of facilitating the discovery of genes with closely correlated expression patterns. In order to construct a co-expression...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Bioinformatics
دوره 26 9 شماره
صفحات -
تاریخ انتشار 2010