6th RECOMB Satellite Workshop on Computational Cancer Biology | |
United States - CA - Los Angeles |
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Hosted by: | University of California, Los Angeles |
Venue: | UCLA Campus |
Dates: | Jul 28, 2017 through Jul 29, 2017 |
Call for Proceedings Presentations: | 2017-03-14 through 2017-04-14 |
Event Registration: | 2017-03-01 through 2017-07-28 |
Early Registration Deadline: | 2017-05-29 |
Description |
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6th RECOMB Satellite Workshop on Computational Cancer Biology RECOMB-CCB UCLA Campus, Los Angeles, California July 28-29, 2017 SUMMARY Cancer research is undergoing a revolution driven by the application of high-throughput techniques such as genome sequencing, single-cell analysis, miRNA profiling, and mass spectrometry. Today’s high-throughput techniques are capable of performing in-depth characterization of tumor samples and producing large collections of data that have implications for both basic biology and clinical translation. Cancer is a disease of tremendous complexity; thus, the analysis and interpretation of this data with a systems biology approach demands sophisticated, specialized computational methods. This workshop brings together leading researchers in the mathematical, computational and biological sciences to discuss advances and open questions in cancer research. SCOPE This meeting will focus on applying statistical and algorithmic approaches to improve our understanding of cancer and on the development of useful, effective and efficient new methods in this area. The emphasis of contributed work will be on developing and applying statistical, mathematical and algorithmic approaches to improve our understanding of cancer. The workshop will partially overlap with the RECOMB-Genetics Satellite Workshop, which takes place on UCLA campus immediately after the UCLA Computational Genomics Summer Institute. TOPICS Methods for analysis of high-throughput sequencing or microarray data, with application to cancer Inference of somatic mutations, copy number aberrations, structural rearrangements, and other genomic aberrations from high-throughput sequencing or microarray data sets Clonality analyses and tumor evolution Epigenetic variation (e.g., methylation profiling, methyl-seq, ChIP-seq analysis) applied to cancer Transcriptome analysis and assembly, alterative splicing, and fusion gene analyses from RNAseq data Applications of single-molecular and nanopore sequencing technologies to cancer Pathway analysis and network reconstruction with a focus on cancer biology Cancer proteomics Data integration from multiple molecular assays |
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Additional Information | |
Event URL: | http://computationalgenomics.bioinformatics.ucla.edu/2017-recomb-satellite-meetings/ |
ISCB Member Discount: | None |
Contact Person: | Eleazar Eskin ([javascript protected email address]) |
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