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Yann Christinat
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Doctoral Program in Computer, Communication and Information Sciences
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birth date: 09.12.1981
nationality: Switzerland
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office(s):
INJ211
phone(s): [+41 21 69] 38184
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Current research interest
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My interest are bioinformatics and algorithms with a current focus on alternative splicing.
I was previously working on proteomics (the study of proteins) and more specifically on domains as evolutionary building blocks.
However, as I was looking for a way to transfer annotation in protein-protein interactions network, I came across a not-so-minor problem. What about alternative splicing.
It came out that there are currently no model of evolution nor an algorithm to delineate the phylogenies of transcripts. This led to my latest work and interest: The study of transcript evolution. I thus shifted from using domain as building blocks to using exons and introns to unravel the marvels of transcriptomics.
Previously, I implemented an algorithm, DomML, to predict domains based on the domain size distribution; the latter acting as a consensus for several input features.
A web-based interface of DomML is available for testing on http://lcbb.epfl.ch/domml
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BIOGRAPHY
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After one year in the biology faculty of the University of Geneva, I switched to Computer Science at EPFL and achieved a MsC degree with a specialization in Biocomputing.
In 2006, I developed a biclustering algorithm for microarray data at Siemens Corporate Research in Princeton, USA as my master thesis.
Starting of 2007, I joined Professor Bernard M.E Moret's laboratory for Computational Biology and Bioinformatics in EPFL as a PhD student.
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MAIN PUBLICATIONS
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Gene Expression Data Analysis Using a Novel Approach to Biclustering Combining Discrete and Continuous Data, Yann Christinat, Bernd Wachmann, and Lei Zhang, IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, VOL. 5, NO. 4, OCTOBER-DECEMBER 2008
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Student