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Invitrogen and Active Motif explore use of FPGA for Next-Generation Sequencing Data Analysis

SeqCruncher™ improves DeCypher and CodeQuest throughput by 3-20X

TimeLogic welcomes new customers at NIEHS, Hiram College and the Korea National Institutes of Health

DeCypher 7.6.2 software update improves HMM analysis, output formatting

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TimeLogic Performance Examples:

CodeQuest or DeCypher node with 1 or 2 SeqCruncher™ Accelerators:

  • 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)

Benchmark Report Request

We are preparing an exhaustive suite of performance benchmarks on TimeLogic's Biocomputing Systems. To receive a copy of this report—or to request custom benchmarks specific to your next-generation sequencing challenges—please please fill out the form below.

First Name
Last Name
Position
Institution
Country
Phone
Email

Please list your applications of interest:
Tera-BLAST™
Tera-Probe™: high sensitivity short-mer comparisons
GeneDetective™ module (gene modeling, alternative splicing)
Smith-Waterman
Hidden Markov Model (HMM)

Benchmark details (list query file details, database and parameters)

   

 

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