Progress in in silico functional genomics: the malaria Metabolic Pathways database.
Genomic, transcriptomic and proteomic data can be turned into biologically meaningful information if they are synthesized into processes. Such amalgamation has been done for the most virulent malaria parasite Plasmodium falciparum in the Metabolic Pathways database. The dialectics of construction of metabolic pathways and other biological processes using this database is presented here. Additional features, such as links to other databases and the incorporation of transcriptomic clocks, are elucidated. Comparison of Metabolic Pathways to other similar databases is analyzed.
Ginsburg
Hagai
H
Department of Biological Chemistry, Institute of Life Sciences, Hebrew University, Jerusalem 91904, Israel. hagai@vms.huji.ac.il
D000818:Animals; D016054:DNA, Protozoan / Q000235:genetics; D016208:Databases, Factual; D018503:Genome, Protozoan; D006801:Humans; D016778:Malaria, Falciparum / Q000378:metabolism*; D010963:Plasmodium falciparum / Q000235:genetics*
D016054:DNA, Protozoan