Thesis Reference Bioinformatics tools to assist drug candidate discovery in venom gland transcriptomes KOUA, Dominique Kadio Abstract Current pharmaceutical research is actively exploring the field of natural peptides. Venomics addresses this issue with the study of toxins. The concomitant development of sequencing techniques is opening new perspectives of understanding biological mechanisms. Transcriptome sequencing of specific tissues is undertaken to better understand and characterize the context of gene expression. In this framework, transcriptomic data made available require automated processing workflows and user-friendly interfaces for data exploitation and comprehension. We present TATools, a bioinformatic platform that provides a unique management environment for understanding transcriptome data by merging results of diverse classical sequence analysis. Additional features and dedicated viewer pages makes TATools a valuable solution for highlighting novelty in a single transcriptome as well as cross-analysis of several transcriptomes in the same environment. TATools is validated in the context of venomics. This thesis reports the genesis of the design of TATools as exposed in two published articles and a manuscript (at this stage under [...] KOUA, Dominique Kadio. Bioinformatics tools to assist drug candidate discovery in venom gland transcriptomes. Thèse de doctorat : Univ. Genève, 2012, no. Sc. 4471 URN : urn:nbn:ch:unige-239511 DOI : 10.13097/archive-ouverte/unige:23951 Available at: http://archive-ouverte.unige.ch/unige:23951 Disclaimer: layout of this document may differ from the published version. 1 / 1