E-Cell simulation environment 3D: 3D visualization of cell simulation

submitted by: gaou

E-Cell Simulation Environment 3D allows 3D visualization of cell simulation experiments for systems biology studies, powered by Quartz Composer in MacOS X(Tiger). BGM is "She's Close" by The Lingus (available in creative commons license). Developed by the Institute for Advanced Biosciences, Keio University, Japan.

CLC Bio

submitted by: dougramsey
We provide integrated bioinformatics solutions including sequence analysis software, high-performance computing, consulting, and education to pharmaceutical and biotechnology companies, as well as hospitals and universities all over the world. We hereby facilitate research into genetically determined diseases, drug development, molecular diagnostics, agricultural research, and more. Our bioinformatics solutions are designed and built to leverage the latest technological innovations,...

DNA Star

submitted by: dougramsey
DNASTAR was founded by University of Wisconsin Professor of Genetics Frederick Blattner and his student colleague John Schroeder in the early 1980s. DNASTAR was among the early pioneers in bioinformatics. As personal computing was coming on the scene, Fred and John saw an opportunity to provide turnkey solutions to geneticists and other molecular biologists when working with DNA and protein sequences. DNASTAR's mission then was the same as it is today: to provide life scientists with the...

Computational Lab - Prof. Cristian Coarfa (2009)

submitted by: ralanharris

An introduction to computational methods for analyzing ChIP-Seq data by Cristian Coarfa. This was presented as a lab within the Computer Aided Discovery Methods course offered within the Graduate Program at Baylor College of Medicine.

Challenges in Ecological Metagenomics

submitted by: dougramsey
Since the first metagenomics study was published 17 years ago, the ability to make ecological inferences has been limited by sequencing throughput and the ability to analyze the data. Yet, if the potential of metagenomics to help us decipher the structure and function of microbial ecosystems is to be realized, it is essential that our bioinformatics tools motivate our sequencing efforts. This is analogous to the bioinformatics advances that were made to accelerating the sequencing of the...

TimeLogic

submitted by: dougramsey
Delivering the performance equivalent of hundreds to over one thousand CPU cores per accelerated node, the TimeLogic solutions are ideal for data-intensive next-generation genomics. Life science institutions worldwide have chosen the TimeLogic brand as their optimal solution for high-throughput bioinformatics. The DeCypher and CodeQuest biocomputing solutions blend proven bioinformatics algorithms with ultra-fast accelerator hardware to achieve a perfect combination of performance, accuracy,...

Integrated Information System for Genomic and Metagenomic Data Analysis at National Center for Biotechnology Information (NCBI)

submitted by: dougramsey
Recent advances in biotechnology and bioinformatics has provided a flood of genomic data and tremendous growth in the number of associated data sets. Sequencing projects now include draft assemblies, complete genomes, comparative genomics, and metagenomics where genetic material is sequenced directly from environmental samples. The NCBI provides integrated systems for data storage, retrieval, and analysis. GenBank, an archival database of DNA sequences, contains consensus sequences assembled...

Gene Expression Computational Lab - Chris Miller

submitted by: ralanharris

An introduction to computational methods for analyzing gene expression data by Chris Miller. This was presented as a lab within the Computer Aided Discovery Methods course offered within the Graduate Program at Baylor College of Medicine.

Transcriptional Regulatory Pathways - Prof. Chad Creighton (Part 2, 2009)

submitted by: ralanharris

Prof. Chad Creighton lectures on examining ranscriptional regulatory pathways in cancer using microarrays. Part of the Computer Aided Discovery Methods 2009 course offered at Baylor College of Medicine.

Transcriptional Regulatory Pathways - Prof. Chad Creighton (Part 1, 2009)

submitted by: ralanharris

Prof. Chad Creighton lectures on examining ranscriptional regulatory pathways in cancer using microarrays. Part of the Computer Aided Discovery Methods 2009 course offered at Baylor College of Medicine.