Display Settings:

Format

Send to:

Choose Destination
See comment in PubMed Commons below
Genome Res. 2005 Apr;15(4):566-76.

ECgene: genome-based EST clustering and gene modeling for alternative splicing.

Author information

  • 1Division of Molecular Life Sciences, Ewha Womans University, Seoul 120-750, Korea.

Abstract

With the availability of the human genome map and fast algorithms for sequence alignment, genome-based EST clustering became a viable method for gene modeling. We developed a novel gene-modeling method, ECgene (Gene modeling by EST Clustering), which combines genome-based EST clustering and the transcript assembly procedure in a coherent and consistent fashion. Specifically, ECgene takes alternative splicing events into consideration. The position of splice sites (i.e., exon-intron boundaries) in the genome map is utilized as the critical information in the whole procedure. Sequences that share any splice sites are grouped together to define an EST cluster in a manner similar to that of the genome-based version of the UniGene algorithm. Transcript assembly is achieved using graph theory that represents the exon connectivity in each cluster as a directed acyclic graph (DAG). Distinct paths along exons correspond to possible gene models encompassing all alternative splicing events. EST sequences in each cluster are subclustered further according to the compatibility with gene structure of each splice variant, and they can be regarded as clone evidence for the corresponding isoform. The reliability of each isoform is assessed from the nature of cluster members and from the minimum number of clones required to reconstruct all exons in the transcript.

PMID:
15805497
[PubMed - indexed for MEDLINE]
PMCID:
PMC1074371
Free PMC Article

Images from this publication.See all images (3)Free text

Figure 1.
Figure 2.
Figure 3.
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Icon for HighWire Icon for PubMed Central
    Loading ...
    Write to the Help Desk