Abstract:
:DNA is a universal language encrypted with biological instruction for life. In higher organisms, the genetic information is preserved predominantly in an organized exon/intron structure. When a gene is expressed, the exons are spliced together to form the transcript for protein synthesis. We have developed a complexity reduction algorithm for sequence analysis (CRASA) that enables direct alignment of cDNA sequences to the genome. This method features a progressive data structure in hierarchical orders to facilitate a fast and efficient search mechanism. CRASA implementation was tested with already annotated genomic sequences in two benchmark data sets and compared with 15 annotation programs (10 ab initio and 5 homology-based approaches) against the EST database. By the use of layered noise filters, the complexity of CRASA-matched data was reduced exponentially. The results from the benchmark tests showed that CRASA annotation excelled in both the sensitivity and specificity categories. When CRASA was applied to the analysis of human Chromosomes 21 and 22, an additional 83 potential genes were identified. With its large-scale processing capability, CRASA can be used as a robust tool for genome annotation with high accuracy by matching the EST sequences precisely to the genomic sequences.
journal_name
Genome Resjournal_title
Genome researchauthors
Chuang TJ,Lin WC,Lee HC,Wang CW,Hsiao KL,Wang ZH,Shieh D,Lin SC,Ch'ang LYdoi
10.1101/gr.313703subject
Has Abstractpub_date
2003-02-01 00:00:00pages
313-22issue
2eissn
1088-9051issn
1549-5469journal_volume
13pub_type
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