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SUMMARY:IC Colloquium: Data-Driven Genomic Computing: Making Sense of the 
 Signals from the Genome
DTSTART:20181203T161500
DTEND:20181203T173000
DTSTAMP:20260407T101132Z
UID:fd94d326c7d36667ae972de5fc89612733bf26d135f5203a19b4bb44
CATEGORIES:Conferences - Seminars
DESCRIPTION:By: Stefano Ceri - Politecnico di Milano\nVideo of his talk\n\
 nAbstract:\nGenomic computing is a new science focused on understanding th
 e functioning of the genome\, as a premise to fundamental discoveries in b
 iology and medicine. Next Generation Sequencing (NGS) allows the productio
 n of the entire human genome sequence at a cost of about 1000 US $\; many 
 algorithms exist for the extraction of genome features\, or "signals"\, in
 cluding peaks (enriched regions)\, variants\, or gene expression (intensit
 y of transcription activity). The missing gap is a system supporting data 
 integration and exploration\, giving a “biological meaning” to all the
  available information\; such a system can be used\, e.g.\, for better und
 erstanding cancer or how environment influences cancer development.\nT
 he GeCo Project (Data-Driven Genomic Computing\, ERC Advanced Grant\, 2016
 -2021) has the objective or revisiting genomic computing through the lens 
 of basic data management\, through models\, languages\, and instruments\, 
 focusing on genomic data integration. Starting from an abstract model\, we
  developed a system that can be used to query processed data produced by s
 everal large Genomic Consortia\, including Encode and TCGA\; the system em
 ploys internally the Spark engine\, and prototypes can already be accessed
  from Cineca or from PoliMi servers. During the five-years of the ERC proj
 ect\, the system will be enriched with data analysis tools and environment
 s and will be made increasingly efficient. Among the objectives of the pro
 ject\, the creation of an “open source” repository of public data\, av
 ailable to biological and clinical research through queries\, web services
  and search interfaces.\n\nBio:\nStefano Ceri is professor of Database Sys
 tems at the Dipartimento di Elettronica\, Informazione e Bioingegneria (D
 EIB) of Politecnico di Milano. His research work covers four decades (1
 978-2018) and has been generally concerned with extending database technol
 ogies in order to incorporate new features: distribution\, object-orientat
 ion\, rules\, streaming data\; with the advent of the Web\, his research h
 as been targeted towards the engineering of Web-based applications and to 
 search systems. More recently he turned to genomic computing. He authored 
 over 300 publications (H-index 74) and authored or edited 15 books in Engl
 ish. He is the recipient of two ERC Advanced Grants: "Search Computing (S
 eCo)" (2008-2013)\, focused upon the rank-aware integration of search eng
 ines in order to support multi-domain queries and “Data-Centered Genomic
  Comouting (GeCo)” (2016-2021)\, focused upon new abstractions for query
 ing and integrating genomic datasets. He is the recipient of the ACM-SIGMO
 D "Edward T. Codd Innovation Award" (New York\, June 26\, 2013)\, an ACM
  Fellow and a member of Academia Europaea.\n\nMore information
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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