摘要
Whereas genomics describes the study of genome, mainly represented by itsgene expression on the DNA or RNA level, the term proteomics denotes the study of the proteome,which is the protein complement encoded by the genome. In recent years, the number of proteomicexperiments increased tremendously. While all fields of proteomics have made major technologicaladvances, the biggest step was seen in bioinformatics. Biological information management relies onsequence and structure databases and powerful software tools to translate experimental results intomeaningful biological hypotheses and answers. In this resource article, I provide a collection ofdatabases and software available on the Internet that are useful to interpret genomic and proteomicdata. The article is a toolbox for researchers who have genomic or proteomic datasets and need toput their findings into a biological context.
Whereas genomics describes the study of genome, mainly represented by itsgene expression on the DNA or RNA level, the term proteomics denotes the study of the proteome,which is the protein complement encoded by the genome. In recent years, the number of proteomicexperiments increased tremendously. While all fields of proteomics have made major technologicaladvances, the biggest step was seen in bioinformatics. Biological information management relies onsequence and structure databases and powerful software tools to translate experimental results intomeaningful biological hypotheses and answers. In this resource article, I provide a collection ofdatabases and software available on the Internet that are useful to interpret genomic and proteomicdata. The article is a toolbox for researchers who have genomic or proteomic datasets and need toput their findings into a biological context.
基金
This work was supported by a grant of the National Genome Research Network (NGFN-2)
an initiative of the German Ministry of Education and Research (BMBF).
