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  1. Article

    Open Access

    A computational survey of candidate exonic splicing enhancer motifs in the model plant Arabidopsis thaliana

    Algorithmic approaches to splice site prediction have relied mainly on the consensus patterns found at the boundaries between protein coding and non-coding regions. However exonic splicing enhancers have been ...

    Mihaela Pertea, Stephen M Mount, Steven L Salzberg in BMC Bioinformatics (2007)

  2. Article

    Open Access

    Features generated for computational splice-site prediction correspond to functional elements

    Accurate selection of splice sites during the splicing of precursors to messenger RNA requires both relatively well-characterized signals at the splice sites and auxiliary signals in the adjacent exons and int...

    Rezarta Islamaj Dogan, Lise Getoor, W John Wilbur, Stephen M Mount in BMC Bioinformatics (2007)

  3. Article

    Open Access

    Evaluation of BLAST-based edge-weighting metrics used for homology inference with the Markov Clustering algorithm

    Clustering protein sequences according to inferred homology is a fundamental step in the analysis of many large data sets. Since the publication of the Markov Clustering (MCL) algorithm in 2002, it has been th...

    Theodore R. Gibbons, Stephen M. Mount, Endymion D. Cooper in BMC Bioinformatics (2015)

  4. Article

    Open Access

    Erratum to: Evaluation of BLAST-based edge-weighting metrics used for homology inference with the Markov Clustering algorithm

    Theodore R. Gibbons, Stephen M. Mount, Endymion D. Cooper in BMC Bioinformatics (2015)

  5. Article

    Open Access

    Yanagi: Fast and interpretable segment-based alternative splicing and gene expression analysis

    Ultra-fast pseudo-alignment approaches are the tool of choice in transcript-level RNA sequencing (RNA-seq) analyses. Unfortunately, these methods couple the tasks of pseudo-alignment and transcript quantificat...

    Mohamed K Gunady, Stephen M Mount, Héctor Corrada Bravo in BMC Bioinformatics (2019)