Introduction to Genboree - Prof. Alan Harris

submitted by: ralanharris

An introduction to the Genboree genomics tool (www.genboree.org) presented as part of the "Data Integration in Genboree and Galaxy Pipelines" lab of the Computer Aided Discovery Methods course offered within the Graduate Program at Baylor College of Medicine.

Introduction to the Computer Aided Discovery Methods Course - Prof. Aleks Milosavljevic

submitted by: ralanharris

An overview of the Computer Aided Discovery Methods course offered within the Graduate Program at Baylor College of Medicine.

MWV02 -AMNH - Save the Microbes Save the World – Part 1

submitted by: MicrobeWorld
Part 1 of a video podcast from the American Museum of Natural Historys 2007 Mack Lipkin Man and Nature Series entitled Save the Microbes, Save the World: The Fate of Microbial Life on a Changing Planet. The panel was introduced by Michael Novacek, Senior Vice President and Provost of Science for the AMNH and moderated by Julie Burstein, Public Radio International and WNYC Radio’s Studio 360. Panelists include: # Rita Colwell, Distinguished University Professor, University of Maryland...

Phylogenomics: New algorithms and genome-scale classification

submitted by: WomenInBioinformatics

Kimmen Sjolander, Ph.D. Associate Professor, Department of Bioengineering

University of California - Berkeley

Computational image analysis: from cells to tissues - Prof. Ioannis Kakadiaris

submitted by: ralanharris

Principles of image analysis. Segmentation, edge detection, and feature extraction. Imaging tissue section images obtained by H&E staining, immuno-histochemistry, and multi-color FISH. Part of the Computer-Aided Discovery Methods course taught at Baylor College of Medicine.

Protein interactions, targeted drug design, and pharmacogenetics - Prof. Timothy Palzkill

submitted by: ralanharris

Identifying protein interactions suitable for therapeutic intervention. Design of short peptides and peptidomimetics. Pharmacogenetics. Part of the Computer-Aided Discovery Methods course taught at Baylor College of Medicine.

Protein interaction networks - Prof. Yin Liu

submitted by: ralanharris

Inference of gene modules and protein interaction networks using using synthetic lethality method (e.g., Pan X et al, Cell 124 1069-1081, 2006) the yeast-two-hybrid method and homology with model organisms. Part of the Computer-Aided Discovery Methods course taught at Baylor College of Medicine.

Computational Lab - Cristian Coarfa

submitted by: ralanharris

Expression profiles of osteosarcoma that can predict response to chemotherapy. Lab for the Computer-Aided Discovery Methods course taught at Baylor College of Medicine.

Molecular Classification - Prof. Chris Man (Part 2)

submitted by: ralanharris
Recent advances in genomic and proteomic technologies have revolutionized our way of classifying diseases. These high-throughput technologies allow the development of powerful and multivariate classifiers to distinguish different diseases or tumors based on their molecular profiles. Molecular classification provides a new way to distinguish histologically similar but molecularly different types of tumors, and hence improves tumor diagnosis and prognosis. In this course, we introduce major...

Molecular Classification - Prof. Chris Man (Part 1)

submitted by: ralanharris
Recent advances in genomic and proteomic technologies have revolutionized our way of classifying diseases. These high-throughput technologies allow the development of powerful and multivariate classifiers to distinguish different diseases or tumors based on their molecular profiles. Molecular classification provides a new way to distinguish histologically similar but molecularly different types of tumors, and hence improves tumor diagnosis and prognosis. In this course, we introduce major...