Search Results - "Belmadani, Manuel"

  • Showing 1 - 11 results of 11
Refine Results
  1. 1

    A comprehensive analysis of 3' end sequencing data sets reveals novel polyadenylation signals and the repressive role of heterogeneous ribonucleoprotein C on cleavage and polyadenylation by Gruber, Andreas J, Schmidt, Ralf, Gruber, Andreas R, Martin, Georges, Ghosh, Souvik, Belmadani, Manuel, Keller, Walter, Zavolan, Mihaela

    Published in Genome research (01-08-2016)
    “…Alternative polyadenylation (APA) is a general mechanism of transcript diversification in mammals, which has been recently linked to proliferative states and…”
    Get full text
    Journal Article
  2. 2
  3. 3
  4. 4

    Assessing Transcriptome Quality in Patch-Seq Datasets by Tripathy, Shreejoy J, Toker, Lilah, Bomkamp, Claire, Mancarci, B Ogan, Belmadani, Manuel, Pavlidis, Paul

    Published in Frontiers in molecular neuroscience (08-10-2018)
    “…Patch-seq, combining patch-clamp electrophysiology with single-cell RNA-sequencing (scRNAseq), enables unprecedented access to a neuron's transcriptomic,…”
    Get full text
    Journal Article
  5. 5

    VariCarta: A Comprehensive Database of Harmonized Genomic Variants Found in Autism Spectrum Disorder Sequencing Studies by Belmadani, Manuel, Jacobson, Matthew, Holmes, Nathan, Phan, Minh, Nguyen, Tue, Pavlidis, Paul, Rogic, Sanja

    Published in Autism research (01-12-2019)
    “…Recent years have seen a boom in the application of the next‐generation sequencing technology to the study of human disorders, including Autism Spectrum…”
    Get full text
    Journal Article
  6. 6

    Curation of over 10 000 transcriptomic studies to enable data reuse by Lim, Nathaniel, Tesar, Stepan, Belmadani, Manuel, Poirier-Morency, Guillaume, Mancarci, Burak Ogan, Sicherman, Jordan, Jacobson, Matthew, Leong, Justin, Tan, Patrick, Pavlidis, Paul

    “…Vast amounts of transcriptomic data reside in public repositories, but effective reuse remains challenging. Issues include unstructured dataset metadata,…”
    Get full text
    Journal Article
  7. 7
  8. 8
  9. 9
  10. 10
  11. 11

    MotifGP: Using multi-objective evolutionary computing for mining network expressions in DNA sequences by Belmadani, Manuel, Turcotte, Marcel

    “…This paper describes and evaluates a multi-objective strongly typed genetic programming algorithm for the discovery of network expressions in DNA sequences…”
    Get full text
    Conference Proceeding