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News:

Active Motif is excited about the upcoming PAG 2010 meeting in San Diego.

8 ways CodeQuest™ can improve your 454 data analysis

Active Motif is exploring the use of FPGAs for Next-Generation Sequencing Data Analysis

Comparisons with HMMER and SSEARCH show that DeCypher delivers 300-1000X improved performance over CPU core.

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TimeLogic Performance Examples:

Performance of a CodeQuest Workstation or DeCypher Enterprise node with 1 or 2 SeqCruncher™ Accelerators installed.

  • Map 100,000 x 49-mers to the Arabidopsis genome:
    2.1 minutes (Tera-BLASTN, exact-match settings)

  • Compare 100,000 ESTs to the Arabidopsis genome:
    7 minutes (Tera-BLASTN)

  • Compare Human chromosome X to Y:
    7 minutes (Tera-BLASTN)

  • Map 125,000 50-mers (direct & complement) to the Human genome with Smith-Waterman accuracy: 4 minutes (Tera-Probe™)

  • Compare 10,000 protein sequences to UniProt:
    1 minute
    (Tera-BLASTP)

  • Compare 5000 sequences to Chromosome 22 with intron-tolerance:
    1.7 hours (Double Affine Smith-Waterman)

  • Compare 1,000 GOS sequences to PFAM:
    3 minutes (DeCypherHMM)

  • Compare 5,000 EST sequences to PFAM:
    2 minutes, 11 seconds (DeCypherHMM)

Multi-node DeCypher systems scale to 10 servers and 20 SeqCruncher cards. As a performace guideline, doubling the accelerator count will deliver twice the system throughput.

Request our latest Performance Benchmark Reports!

 

 

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