william_reinhold

CellMiner databases, tools, and molecular pharmacologic applications

Understanding the influences of molecular alterations on pharmacological responses in the omic sense is at the fore of the effort to make oncology treatments more effective and specific. At present, however, this remains a field in its infancy. The NCI-60 cancerous cell lines provide a premier set of databases and tools for systems molecular pharmacological studies.

michael_ryan

Overview of the Galaxy platform for analysis of genomics data

Modern genomics research requires complex computational processing to integrate, analyze, and extract meaning from large, disparate datasets. While a multitude of commercial and open source bioinformatics applications are available, it is difficult to assemble a collection of tools that work together seamlessly to perform the required analysis. Even more difficult is performing analysis in a manner that documents the data, algorithms, and processing steps such that the results are easily published and reproducible.

hamid_bolouri

Cancer Systems Genomics

Abstract – I will describe my work with the NCI TARGET Pediatric Acute Myeloid Leukemia consortium in which we are integrating data from 197 cancer whole genome sequences with mRNA and miRNA expression and DNA-methylation data, including verification of DNA variants via targeted re-sequencing, and frequency validation of confirmed variants in 650 additional patients.

chao-ping_hsu

Noises and dynamics in cells: Mathematical modeling in systems biology

One important aspect in the systems biology is to gain understanding in the systems level with molecular basis. With molecular basis in the model, new treatment or genetic perturbation can be designed in order to change the systems behavior. In this talk, I’ll focus on the methodology and an application for simulating a biological system, particularly for systems with noises.

ralf_jauch

Deciphering how proteins engage the genome and direct cellular identities

All cells in our bodies encode the same genetic information yet different sets of genes are expressed in a given cell type to give it its particular identity. My laboratory studies how transcription factors (TFs) recognize genomic DNA to regulate when, where and to which level genes are expressed to direct cell fate decisions. We use structural modelling and quantitative biochemical assays to study TF dimerization on composite binding elements enriched in regulatory DNA sequences.

eduardo_mendoza

Systems Biology in the Philippines: Past, Present and Potential

Systems Biology activities in the Philippines began in early 2003 with courses on modeling biological networks at NIMBB and the Math Department, as well as the launch of the Mathematical Life Sciences Initiative (MLSI). The talk will present briefly the highlights of the First Decade of Systems Biology in the Philippines (2003-2013)-considered as the “Past”-which consisted largely of Filipino computational scientists collaborating with foreign experimental researchers.