Li Zhang’s web page on
Computational Genome Biology
Research Interest
My research is
focused on developing methods for genomic data analysis. The topics include:
· Integration of multiple platforms of genomic data. Various types of genomic data include mRNA expression, microRNA expression, DNA copy number, DNA methylation, nucleosome profiling, DNA mutation.
· Biomarker research. Identifying informative features from genomic data that have prognostic value.
Links:
Courses: Bioinformatics Lectures at Rice University, spring 2012.
Software:
· Serial Dilution Curve: an R program for to analyze reverse phase protein array (RPPA) data.
· PerfectMatch: a new program for analyzing Affymetrix chips using PDNN model. The manuscript describing the model is also available.
· S-score: a program for comparing two Affymetrix chips.
Bioinformatics tools:
MDACC Bioinformatics Services Genome Technology Gene Ontology NCBI Blast
ProjectTracker GSBS applicants info Bioinformatics and Biostatistics in GSBS Biomarker Journal Club
Contact information:
Department of Computational Biology
and Bioinformatics
The University of
1400 Pressler Street, unit 1410, Houston, TX 77030
E-mail: lzhangli@mdanderson.org
Office: FCT4.5034. Phone: 713-563-4298
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