DeCypher^® Biocomputing Platforms

DeCypher^® and CodeQuest^® Solutions

DeCypher^®

Scalable, high-performance biocomputing solutions

DeCypher^® systems include enterprise level DeCypher^® and CodeQuest^® desktop solutions that combine optimized bioinformatics applications with powerful Field Programmable Gate Array (FPGA) accelerator cards. Using one of our systems along with any of our accelerated algorithm modules, Tera-BLAST™, DeCypherSW™, DeCypherHMM™, GeneDetective™ and Tera-Probe™, you can run high-thoughput analyses with industry leading price/performance.

Advantages of the DeCypher^® Solutions

Ultra fast genomic analyses (CPU equivalents of 75 - 550 CPU cores per SeqCruncher™)
Scalable with multiple SeqCruncher cards per server and muliple clustered DeCypher server nodes
Simple turn-key installation and upgrades
Flexible client allows submitting searches from any computer (Windows, Linux, Mac, Solaris)
Fully customizable to integrate into data analysis pipelines

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

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CodeQuest^®

Desktop Workstation for Genomic Analysis

CodeQuest^® biocomputing workstations are a desktop version of our popular DeCypher enterprise systems. Using its FPGA-based SeqCruncher™ accelerator card, the quad-core CodeQuest^® workstation accelerates 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 create analysis pipelines from searches, filters and reports. This visual tool makes informatics more accessible to scientists across a wide range of disciplines.

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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.

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