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BLAST Performance
The following examples are real-world
application benchmarks recently performed by TimeLogic using several
DeCypher configurations.
Tthe TimeLogic
CodeQuest workstation will deliver the performance of
a 1-card DeCypher
Engine installed in a 2-CPU
system, so many of these benchmarks are indicative of
the workstation's performance.

Translated BLAST search
Tera-BLASTX was used to compare
976,256 genome sequence tags (682 bp average length) with NCBI NT (18 GB). The search is processed on a DeCypher system consisting of 2 dual-CPU servers with a total of 4 DeCypher G4 engines. The search required
7 days, 20 minutes to report the top 10 hits and alignments with e-values
at or above 10-5. We expect this benchmark would take 2-3 weeks on a CodeQuest Workstation, depending upon configuration.

Comparing 70-mers to the Rat Genome
Using BLASTN to compare 26K oligos
to the Rat genome. A 6 CPU cluster required 7 days to complete
this
search,
while
a 2-CPU server with a single DeCypher card ran the search in
20 minutes. The DeCypher system delivered performance equivalent
of thousands of CPUs. The CodeQuest workstation would deliver equivalent performance.


All
Known Bacterial Proteins vs. 192 Translated Bacterial Genomes
Algorithm:
Tera-T-BLASTN
Using the smallest configuration BLAST System installed within a
Sun V880 server, all known bacterial proteins (4,289 proteins sequences
totaling 1,358,990 symbols from NCBI’s E. coliK12 U00096.faa
dataset) were searched against 192 bacterial genomes (775,191,168
symbols in 6-frames) in 1 hour, 36 minutes.
The same 8-CPU server without DeCypher
acceleration completes the task in 13 days, 9 hours and 40 minutes
(321.66 hrs).
Results:
DeCypher improves performance by 200-fold, operating at a speed
equivalent to 1,600 Sun Ultra Sparc III CPUs.

Human
Chromosome 19 vs. Mouse genome
DeCypher was used to compare Human
chromosome 19 to the complete mouse genome with BLASTN and returned
the top 500 scores and top 250 alignments (with e-values less
than
10) in only 2.3 hours.
Details:
This benchmark consisted of a Tera-BLASTN search of 1 nucleic sequence
containing 15,825,424 bases against the complete
mouse genome in the file chromFaMasked.zip containing 37
sequences totaling approximately 2,711,077,328 bases. This
was processed
on
a BLAST System with 2 DeCypher accelerator cards installed in a
Sun Microsystems V880 (8 CPUs).
Results:
The search completed in 2 Hours, 20 Minutes.

Large
BLASTX Search
Algorithm: Tera-BLASTX using nucleic
query vs AA target
System: BLAST System (dual
DeCypher accelerator cards)
hosted in a Dell server (2 CPUs, 4 GB RAM)
Query: 500K nucleic sequences randomly
selected from recent release of NCBI's gbest dataset
Target: 1 million AA sequences randomly selected from a recent release
of NCBI's genpept dataset
Details: We searched the forward
3-frame translations and the reverse 3-frame translations of the
query sequence against the direct strand of the target sequence
and returned gapped alignments.
Results: DeCypher required 27 hrs
to complete this search.

See suggested host servers
for various DeCypher
configurations.
Interested in further discussion
of our benchmark data? Would you like to see custom benchmarks for
your toughest bioinformatics bottlenecks? Contact
a TimeLogic account executive today to learn more about DeCypher!
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