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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bafna, V. Shaojie Zhang |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of Comput. Sci. & Eng., California Univ., La Jolla, CA, USA (Bafna, V.; Shaojie Zhang) |
| Abstract | The discovery of novel non-coding RNAs has been among the most exciting recent developments in biology. Yet, many more remain undiscovered. It has been hypothesized that there is in fact an abundance of functional non-coding RNA (ncRNA) with various catalytic and regulatory junctions. Computational methods tailored specifically for ncRNA are being actively developed. As the inherent signal for ncRNA is weaker than that for protein coding genes, comparative methods offer the most promising approach, and are the subject of our research. We consider the following problem: Given an RNA sequence with a known secondary structure, efficiently compute all structural homologs (computed as a function of sequence and structural similarity) in a genomic database. Our approach, based on structural filters that eliminate a large portion of the database, while retaining the true homologs allows us to search a typical bacterial database in minutes on a standard PC, with high sensitivity and specificity. This is two orders of magnitude better than current available software for the problem. |
| Starting Page | 52 |
| Ending Page | 61 |
| File Size | 329883 |
| Page Count | 10 |
| File Format | |
| ISBN | 0769521940 |
| DOI | 10.1109/CSB.2004.1332417 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-08-19 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Proteins Sequences Filters Microorganisms Databases RNA Genomics Biology computing Sensitivity and specificity Bioinformatics |
| Content Type | Text |
| Resource Type | Article |
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