Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Computational ecosystems for data-driven medical genomics | Almeida Genome Medicine 2010 2 67 http content 2 9 67 Genome Medicine COMMENTARY L__ Computational ecosystems for data-driven medical genomics Jonas S Almeida Abstract In the path towards personalized medicine the integrative bioinformatics infrastructure is a critical enabling resource. Until large-scale reference data became available the attributes of the computational infrastructure were postulated by many but have mostly remained unverified. Now that large-scale initiatives such as The Cancer Genome Atlas TCGA are in full swing the opportunity is at hand to find out what analytical approaches and computational architectures are really effective. A recent report did just that first a software development environment was assembled as part of an informatics research program and only then was the analysis of TCGA s glioblastoma multiforme multi-omic data pursued at the multi-omic scale. The results of this complex analysis are the focus of the report highlighted here. However what is reported in the analysis is also the validating corollary for an infrastructure development effort guided by the iterative identification of sound design criteria for the architecture of the integrative computational infrastructure. The work is at least as valuable as the data analysis results themselves computational ecosystems with their own high-level abstractions rather than rigid pipelines with prescriptive recipes appear to be the critical feature of an effective infrastructure. Only then can analytical workflows benefit from experimentation just like any other component of the biomedical research program. Anduril A report by Ovaska et al. recently published in Genome Medicine 1 describes the use of an integrative computational infrastructure Anduril to analyze glioblastoma multiforme data in The Cancer Genome Atlas TCGA . The logical and logistic consistency of the framework Correspondence jalmeida@ Department of Bioinformatics and .
