The Second Georgia Tech International Conference on Bioinformatics: Sequence, Structure and Function (November 11-14, 1999, Atlanta, Georgia, USA)
Year: 1999
Type: article
Abstract: This issue of Bioinformatics contains reports on selected papers presented at the international conference in Atlanta.The conference was held at one of the midtown hotels offering a magnificent bird's-eye view to the cosmopolitan capital of the Southeast of the USA.The conference agenda included keynote lectures by Russell Doolittle, Walter Fitch and Walter Gilbert, 19 plenary and contributed talks and more than 50 poster presentations.The focus of the conference was on the most intriguing issues of comparative and structural genomics, functional interpretation of nucleic acid and protein sequences, inferring 3D structure from sequence data and deciphering the history of biomolecular evolution (http://exon.biology.gatech.edu/conference).Submission of manuscripts to the Bioinformatics special issue has been a parallel avenue of presentation for the conference participants.Eighteen papers were submitted to the peer review process and nine were accepted for publication.The issue starts with the papers devoted to DNA sequence analysis and gene finding, followed by the papers on protein sequence analysis and protein structure prediction.Single pass sequencing of the 5 and 3 ends of cloned cDNA sequences represents an efficient approach to large scale characterization of the set of genes expressed by an organism.In the past few years huge numbers of such sequences, termed 'expressed sequence tags' or ESTs, have been determined from human and a variety of other organisms, and deposited in public databases.Such sequences represent a powerful resource for identifying genes, but suffer from the relatively high rates of sequencing errors typical of single pass data.Frameshift errors, in particular, can obscure the results of similarity searches based on translations of putative EST ORFs.The paper entitled 'FramePlus: Aligning DNA to protein sequences' by E. Halperin, S. Faigler and R. Gill-More describes a new algorithm specifically tailored to allow for moderate to high rates of frameshift errors.The new techniques resulted in improvements in the ability to detect homologies between ESTs and known proteins in peptide database searches.
Authors: C. Burge, A. Sali, M. Borodovsky
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: bronze
OpenAlex ID: W1979906176