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- W2067804528 abstract "In this work, we propose a novel statistical genome- guided method called Transciptome Reconstruction us- ing Integer Programing (TRIP) that incorporates fragment length distribution into novel transcript reconstruction from paired-end RNA-Seq reads. To reconstruct novel transcipts, we create a splice graph based an exact annotation of exon boundaries and RNA-Seq reads. The exact annotation of exons can be obtained from annotation databases (e.g., Ensembl) or can be inferred from aligned RNA-Seq reads. A splice graph is a directed acyclic graph (DAG), whose vertices represent exons and edges represent splicing events. We enumerate all maximal paths in the splice graph using adepth-first-search (DFS) algorithm. These paths correspond to putative transcripts and are the input for the TRIP algorithm." @default.
- W2067804528 created "2016-06-24" @default.
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- W2067804528 date "2012-02-01" @default.
- W2067804528 modified "2023-10-17" @default.
- W2067804528 title "Workshop: Novel transcript reconstruction from paired-end RNA-Seq reads using fragment length distribution" @default.
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- W2067804528 doi "https://doi.org/10.1109/iccabs.2012.6182673" @default.
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