Functional inferences from reconstructed evolutionary biology involving rectified databases - an evolutionarily grounded approach to functional genomics

Citation
Sa. Benner et al., Functional inferences from reconstructed evolutionary biology involving rectified databases - an evolutionarily grounded approach to functional genomics, RES MICROB, 151(2), 2000, pp. 97-106
Citations number
26
Categorie Soggetti
Microbiology
Journal title
RESEARCH IN MICROBIOLOGY
ISSN journal
09232508 → ACNP
Volume
151
Issue
2
Year of publication
2000
Pages
97 - 106
Database
ISI
SICI code
0923-2508(200003)151:2<97:FIFREB>2.0.ZU;2-Q
Abstract
If bioinformatics tools are constructed to reproduce the natural, evolution ary history of the biosphere, they offer powerful approaches to some of the most difficult tasks in genomics, including the organization and retrieval of sequence data, the updating of massive genomic databases, the detection of database error, the assignment of introns, the prediction of protein co nformation from protein sequences, the detection of distant homologs, the a ssignment of function to open reading frames, the identification of biochem ical pathways from genomic data, and the construction of a comprehensive mo del correlating the history of biomolecules with the history of planet Eart h. (C) 2000 Editions scientifiques et medicales Elsevier SAS.