ABSTRACT
Data analysis poses a significant challenge to the large-scale proteomics studies. Based on the structured and controlled vocabularies-Gene Ontology (GO), and the GO annotation from related databases, a strategy composed of several programs and local databases is developed to identify the functional distribution and the significantly enriched functional categories of the proteomic expression profile. It would be helpful for understanding the overall functions of these identified proteins and supply the fundamental information for further bioinformatics exploration. This strategy has been successfully used in the Human Fetal Liver (HFL) proteomic research, which is available online at http://www.hupo.org.cn/GOfact/.
ABSTRACT
More and more DNA sequences have been obtained since the start-up of human genome project. Powerful system is badly needed for data mining on these DNA sequences. Based on a personal computer and Linux operating system, the Phred/Phrap/Consed software and Blast software were used to construct a platform for batch analysis of the sequences, including identifying raw DNA sequence from chromatogram file, vector sequence removing, contig analysis (sequence assembly), repeat sequence identifying and sequence similarity analysis. Result demonstrated that this robust platform could accelerate data analysis for large-scale DNA sequencing.