KEGG for integration and interpretation of large-scale molecular data sets
نویسندگان
چکیده
منابع مشابه
KEGG for integration and interpretation of large-scale molecular data sets
Kyoto Encyclopedia of Genes and Genomes (KEGG, http://www.genome.jp/kegg/ or http://www.kegg.jp/) is a database resource that integrates genomic, chemical and systemic functional information. In particular, gene catalogs from completely sequenced genomes are linked to higher-level systemic functions of the cell, the organism and the ecosystem. Major efforts have been undertaken to manually crea...
متن کاملSystematic Integration of Large Data Sets
(PSERC) is a multi-university Center conducting research on challenges facing the electric power industry and educating the next generation of power engineers. More information about PSERC can be found at the Center's website: Notice Concerning Copyright Material PSERC members are given permission to copy without fee all or part of this publication for internal use if appropriate attribution is...
متن کاملEnabling Reproducibility for Small and Large Scale Research Data Sets
A large portion of scientific results is based on analysing and processing research data. In order for an eScience experiment to be reproducible, we need to able to identify precisely the data set which was used in a study. Considering evolving data sources this can be a challenge, as studies often use subsets which have been extracted from a potentially large parent data set. Exporting and sto...
متن کامل: large - scale data sets ( spike , LFP ) recorded
Using silicon-based recording electrodes, we recorded neuronal activity of the dorsal hippocampus and dorsomedial entorhinal cortex from behaving rats. The entorhinal neurons were classified as principal neurons and interneurons based on monosynaptic interactions and wave-shapes. The hippocampal neurons were classified as principal neurons and interneurons based on monosynaptic interactions, wa...
متن کاملKEGG and DBGET/LinkDB: Integration of Biological Relationships in Divergent Molecular Biology Data
A simple formulation to integrate various biological data is presented based on the concept of links, which are classified into three types: factual, similarity, and biological. Factual links are crossreference information of entries among molecular biology databases. Similarity links are neighbor information of sequence entries computed by sequence similarity search programs. Biological links ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Nucleic Acids Research
سال: 2011
ISSN: 0305-1048,1362-4962
DOI: 10.1093/nar/gkr988