BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Statistical Bioinformatics at Scale - Prof. Alexander Schliep
DTSTART:20170522T150000Z
DTEND:20170522T160000Z
UID:TALK71483@talks.cam.ac.uk
CONTACT:46487
DESCRIPTION:Clinical and biological data is growing drastically in size an
 d diversity. This development has driven impressive advances in algorithms
 . It also has made it clear that big data alone does not necessarily allow
  to forego advanced statistical methods\, such as Bayesian Hidden Markov M
 odels (HMM).\n\nUsing compression to accelerate computations has been a st
 andard approach for biological sequences. Here we introduce a full Bayesia
 n approach capable of identifying Copy Number Variants (CNV) obtained from
  whole-genome sequencing experiments even on laptop computers. The novel c
 ombination of Gibbs-sampling for HMM with continuous observations and dyna
 mic Wavelet compression accelerates forward-backward Gibbs (FBG) to the po
 int of matching and exceeding the speed of maximum-likelihood methods. At 
 the same time it improves the convergence of the sampler.  Current work fo
 cuses on extending the method to joint analysis of CNV data in trios\, ped
 igrees\, or across multiple conditions\, which can provide posterior proba
 bilities\, for example\, for de novo CNVs in children affected with a spec
 ific disease.\n\nFor the pre-processing of High-Throughput Sequencing (HTS
 ) data\, we introduce our compressive genomics approach\, which finds redu
 ced and compressed representations of sequencing data on which downstream 
 algorithms—such as read mappers\, error correction tools and variant fin
 ders—can operate directly and efficiently.\n\n\nProf. Alexander Schliep 
 - Biography\n\nAlexander Schliep earned his PhD degree in computer science
  at the Universität zu Köln\, jointly supervised by David C. Torney at L
 os Alamos National Laboratory. \nFrom 2002 he was the group leader of the 
 Bioinformatics Algorithms Group at the Max Planck Institute for Molecular 
 Genetics in Berlin and moved in 2009 as an associate professor for Compute
 r Science and Quantitative Biology to Rutgers University\, New Brunswick\,
  NJ. In 2016 he moved to the department of Computer Science and Engineerin
 g (CSE) which is a joined department of Chalmers and Gothenburg University
 . His main research interest are statistical bioinformatics methods at gen
 ome-scale.
LOCATION:CRUK CI Room 009/009A
END:VEVENT
END:VCALENDAR