Overview

Biological sciences have been transformed over the past two decades by the development of technologies capable of performing large-scale measurements of cellular states. In particular, DNA sequencing instruments have undergone an extraordinary increase in efficiency during the past few years that has reduced the time and cost required to sequence billions of bases by several orders of magnitude. This is revolutionizing the scale and potential applications of genomic studies, and creating an enormous need to develop mathematical and computational infrastructures to meet emerging data analysis challenges. To name just a few examples, applications requiring the development of novel mathematical and statistical frameworks include the reconstruction of RNA transcript populations, identifying sequence variations (both single-nucleotide and segmental) and exploring their disease associations, locating the sites of protein-DNA interactions, elucidating population histories, and reconstructing microbial communities that colonize particular hosts or environmental niches. The goal of this long program is to bring together mathematical and computational scientists, sequencing technology developers in both industry and academia, and the biologists who use the instruments for particular research applications. This presents a unique opportunity to foster interactions between these three communities over an extended period of time and advance the mathematical foundations of this exciting field.

The development of high-throughput genomic technology has transformed biomedical sciences and provides limitless potential for developing new treatments for disease. However, analyzing the data generated by these technologies requires tremendous computational resources and significant computational expertise by the researchers.

The UCLA Computational Genomics Summer Institute (CGSI) will provide two programs in the summer of 2016.

CGSI Short Course: July 18 – 22

The short course provides didactic training in computational and statistical genomic methods development and is relevant to a wide range of trainees who are interested in developing or enhancing the methodology development aspect of their research program.  The course is taught by program faculty who are world leading experts in computational and statistical genomics methodology development.  The program consists of full days of lectures covering a wide variety of techniques are cutting edge methodology.

CGSI Long Course July 18- August 12

The long course provides additional training to more senior trainees including senior graduate students and post-docs through a research residence program at UCLA where they will have the opportunity to interact with world leading researchers while at UCLA.  The program consists of a mix of structured training programs as well as flexible time to interact and collaborate with other participants and program faculty.

Deadline to apply is March 1, 2016. Early applications are encouraged and applicants will be admitted on a rolling basis. If you are interested in participating in the program, please complete the UCLA CGSI Application Form. The registration fee for the program will be $550 and applicants who are accepted will be asked to pay the fee at the time of registration.

More information can be found here: http://computationalgenomics.bioinformatics.ucla.edu