In this issue, we present an annual review of progress in critical areas ofbiomedical computing and informatics. Our ability to collect and storebiological and medical data has continued to increase at astoundingrates over the last few years. As a result, the scientific and technicalchallenges for informatics and computing more generally have alsoincreased. A colleague from a major drug company recently showed mea flyer with more than 20 job openings for informatics and computing.Graduates of programs in informatics are getting multiple offers (evenin a sagging economy) in both industry and academia. There is a hugedemand for the skill sets associated with the appropriate managementand analysis of ‘big data’ in biology and medicine. In this issue, weprovide a snapshot of some of the major areas of emerging effort inbioinformatics. As usual, we present the papers roughly in order oflength scale from molecular to whole organism.
http://bib.oxfordjournals.org/content/13/4/393.extract?etoc
Network biology methods integrating biological data for translational science’, describe current progress in integrating human expression and interaction data with genome-wide data to understand disease.
‘Identification of aberrant pathways and network activities from high-throughput data’, summarize recent work in modeling biological pathways and networks, and use high-throughput data to characterize biological dysfunction
‘Bioinformatics for personal genome interpretation’ first catalog the increasingly valuable and interconnected set of data resources that are now available. Next, they review methods for ranking candidate genes based on the likelihood that they play a role in some healthrelated phenotype.
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