RNA structure prediction beyond energy minimization

发布时间 : 2016/12/26点击量:
报告题目:RNA structure prediction beyond energy minimization

报告时间:2016/12/21,星期三,上午10:00 - 11:00

报告地点:生物楼一楼中厅

报告人:Yann Ponty教授, Ecole Polytechnique,法国

内容简介:For the last couple of decades, RNA Bioinformatics has been dedicating much effort to elucidate the sequence-structure relationship in structured non-coding RNAs at the secondary structure level. Quite noticeably, the field has experienced multiple paradigm shifts, transitioning from one-sequence-to-one-structure methods, exemplified by minimum free-energy structure prediction algorithms (MFold), to one-sequence-to-many-structures at the Boltzmann equilibrium (partition function), or postulating kinetic effects, and to many-sequences-to-one/many-structure(s), including comparative folding predicted from multiple homologous sequences. Yet, despite demonstrated improved performances, such methods only slowly permeate applied communities, partly due to their conceptual difficulty and to the absence of centralized tools and standard analysis protocols. In this talk, I will briefly describe the three main paradigms in RNA Bioinformatics (energy minimization, thermodynamic equilibrium), and mention available state-of-the-art tools for structure prediction. I will mention the relative performances of such tools, and outline an analysis of the results using BRaliBase, the historic benchmark for (comparative) structure prediction. I will conclude with a short tale of benchmark design and interpretation.

This is joint work with: Benedikt Löwes (Univ Bielefeld, Germany), Cédric Chauve (Simon Fraser University, Canada) and Robert Giegerich (Univ Bielefeld, Germany).

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