High Throughput Design & Processing of Genomic Workflows

CodeQuest™ is a biocomputing workstation that processes large genomics searches and sophisticated informatics workflows. Using its FPGA-based NextEngine™, the quad-core CodeQuest workstation speeds Tera-BLAST™, Smith-Waterman, Hidden Markov Model (HMM) and gene modeling searches at the speed of a mid-sized cluster.

CodeQuest also includes PipeWorks™—a drag-and-drop workflow design interface—that lets researchers stitch together search steps, filters and analyses. This visual tool makes informatics more accessible to scientists across a wide range of disciplines.

The combination of workflow design and high throughput engine makes CodeQuest an ideal workstation for bioinformatics cores and labs that want to incorporate advanced genomic analysis into their research.

Scalable, high-performance biocomputing solutions

DeCypher speeds genome annotation by combining optimized bioinformatics applications with powerful accelerator cards. Using Tera-BLAST™, Smith-Waterman, HMM analysis, GeneDetective™ and Tera-Probe™, you can run sophisticated comparisons which are too large for public resources and too time consuming on local computer clusters.

Advantages of the DeCypher Solutions

• Ultra fast, genomic analyses (CPU equivalents of 75 - 550 CPU cores
  per NextEngine)
• True linear scalability from 1-3 cards per server
• Simple, 1-day installation and upgrading
• Submit searches from any computer (Windows, Linux, Solaris)
• Available as a custom solution or preconfigured MiniCluster:
  

With the NextEngine™ accelerator card installed in your Linux, Solaris, or Windows server, you can immediately begin annotating extensive EST collections, mining for new drug targets, or classifying protein domains with PFAM and other HMM databases.

Additional information on the DeCypher solutions

AKS2.1 Knowledge Discovery System

AKS2.1 is a powerful text mining system that effectively reads each new research paper as it's published. AKS2.1 examines each abstract added to PubMed, then applies statistics and rules-based analysis on the data so you can uncover relationships between genes, proteins, chemical compounds and diseases that exist in the scientific literature.

AKS doesn't deliver just the search results. You can run multiple analyses on the terms and sentences that connect your search terms—and even visualize the relationships graphically.

Learn more about AKS