An Introduction to Genome Rearrangements in Evolution and Cancer: A Computational Perspective
Arjun(AJ) Bhutkar
Wed Jan 26, 02-03:30pm, 76-259
No enrollment limit, no advance sign up
Single session event
Prereq: None.
This non-credit class is intended to serve as a general introduction to computational models/formulations for analyzing the role of DNA rearrangements in shaping genomes and in genomic disorders. We will look at various types of rearrangements that occur during evolution (in the context of model organism and human genomes) and explore algorithms for comparative rearrangement analysis along with issues of computational complexity. Rearrangements can also lead to chromosomal abnormalities implicated in inherited diseases and cancer. We will survey genomic disorders with a focus on alterations frequently found in a variety of human cancers. Topics also include: Genome synteny, breakpoint analysis, comparative metrics, rearrangement phylogenies.
Contact: Arjun(AJ) Bhutkar, E18-366, (617) 324-7642, arjun@mit.edu
|
Practically Genomic
Charlie Whittaker, Paola Favaretto, Courtney Crummett, AJ Bhutkar
Mon Jan 24, Wed Jan 26, Fri Jan 28, 11am-01:00pm, 14N-132
Enrollment limited: first come, first served
Limited to 20 participants.
Participants requested to attend all sessions (non-series)
Genomics, microarrays, and massively parallel applications such as next generation sequencing have made biology research a highly quantitative field. As a result, many biologists face the challenge of mastering computers and computational methods. Our sessions are designed to begin the process. We will provide an overview of some of the bioinformatics tools and methods mandated by modern biological research. Practical examples will be used to introduce powerful aspects of the Unix operating system, Perl, R, Excel and MySQL. We will also instruct attendees on the usage of bioinformatics tools for genomics, phylogenetics and microarray data analysis. Topics to be covered include the UCSC genome browser, GALAXY, Argo, GenePattern, Bioconductor, ClustalX, and a variety of functional annotation methods.
Web: http://luria.mit.edu/Jan_11_IAP/
Contact: Charlie Whittaker, E18-366, x4-0337, charliew@mit.edu
Cosponsor: Libraries
|
|
