Li Zhang’s web page on
Computational Genome Biology
Research Interest
I currently focus on microarray data analysis. I am especially interested in oligonucleotide arrays. My approach to microarray data analysis is unique because it has a significant component of sequence analysis. Recently, I developed a model for Affymetrix oligonucleotide microarrays based on analyzing molecular interactions involved in the binding on the probes. The model reveals the sequence dependence of probe signals on the arrays. My current work is aimed at refining this model and applying the model to gene expression profiling.
I am also extending my study to characterize how various factors affect microarray data. The factors include: (1) Alternative splicing of genes; (2) Exonic splicing enhancers; (3) RNA interference and RNA silence. The larger goal of my research is to integrate various types of genomic information to come up with a coherent systematic view of how biological systems function.
Links:
Software for analyzing
Affymetrix microarray 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
1515 Holcombe Blvd, Box 237 Houston, TX 77030
E-mail: lzhangli@mdanderson.org
Office: HMB13.332. Phone: 713-563-4298
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