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Department of Biostatistics, Harvard School of Public Health

Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute

Address: Room 11036, Center for Life Sciences, 3 Blackfan Circle, Boston, MA 02115

Contact: cli@hsph.harvard.edu, 617-632-3498

 

We are a computational biology lab with application interests in cancer and neuroscience. The current emphasis is to develop analysis methods and software for high-throughput gene expression and SNP microarray data.

 

Genomic alteration analysis using SNP arrays.

·  Develop methods to identify LOH and copy number changes in tumor samples with or without paired normals (ref, 2, 3).

·  Integrate with other genomics data such as gene expression arrays, using myeloma samples (ref).

 

dChip software. We are dedicated to developing and maintaining the user-friendly and free microarray analysis software dChip (manual).

·  dChip provides many analysis and visualization methods for gene expression and SNP microarray data and has been used in many research applications.

·  It is the first software to perform model-based analysis of oligonucleotide expression array data and one of the first to perform copy number and LOH analysis of SNP arrays.

·  New analysis methods are constantly developed and tested in dChip through collaborative projects and then provided for broader use.

Current research support: National Institutes of Health.