Abstract
The exponential accumulation of molecular data will facilitate the discovery of new knowledge by using information embedded within families of homologous sequences. As an approach to the management and analysis of sequence data, we have developed an integrated system, termed GeneFIND (Gene Family Identification Network Design), for database searching against gene families. It provides rapid and accurate protein family identification by combining global and motif sequence similarities and incorporating ProClass family information. Multilevel filters are used, starting with the MOTIFIND neural network and BLAST search, followed by SSEARCH alignment motif pattern match, hidden Markov modeling of motifs and ClustalW motif alignment. GeneFIND has been implemented as a full-scale system for the classification of more than 1000 ProSite and 3000 PIR families. It is used to identify thousands of new family members and is well suited for genomic sequence analysis.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
