Bioinformatics
Place
Location: ICTP
Address: Strada Costiera, 11
I - 34151 Trieste (Italy)
Room: Giambiagi Lecture Hall (AGH)
Date:
27 Jul 09:00 - 15:00
Description
Abstract: High-throughput data sets from next-generation sequencing provide a rich but highly complex picture of the biological processes assayed. Statistical challenges abound, arising from high dimensionality, strong heterogeneity and general low replication of the data. In this talk, I will describe how techniques from machine learning and computational statistics can be effectively used to answer some of these questions. I will focus on the issues of statistical testing for epigenomic data such as ChIP- and BS-Seq, and determining isoform proportions/ splicing ratios from low coverage RNA-Seq data.
Timetable | Contribution List
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contributions
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Organizers
B. ACHARYA (ICTP), T. ATTWOOD (University of Manchester), A. HARRISON (University of Essex), M. HASSAN (TWAS), S. HODSON (CODATA), R. QUICK (Indiana University), H. SHANAHAN (Royal Holloway University of London), J. SHIERS (CERN), U. SINGE (University of Manchester), A. VAN DER WALT (Talarify LTD), C. VAN GELDER (Radboud University Medical Centre), L. BORTOLUSSI (University of Trieste), A. POLICRITI (University of Udine), Local Organisers: Ivan Girotto, Clement Onime, Marco Zennaro