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Section Topics:

Introduction
NextEngine Accelerator
Tera-BLAST
Tera-Probe
GeneDetective
HMM Solution
Smith-Waterman
Algorithms
Interfaces
Configurations
Published Citations

News:

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

TimeLogic welcomes new customers at NIEHS, University of Sydney, Life Biosystems and Max Planck

DeCypher 7.6.2 software update improves HMM analysis, output formatting

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Informatics Applications available for DeCypher and CodeQuest

 


Tera-BLAST™

 

Algorithm
Query
Target
Description
Applications
Tera-Blast™ BLASTN NT NT Fast NT search, find very similar matches, ungapped search
  • map EST or cDNAs onto genome
  • find vector contaminations
  • find overlaps for assemblies
  • genome vs. genome comparison
Tera-Probe™ NT NT High-speed, high-sensitivity NT search for large sets of oligo-sized queries. Tolerates multiple mismatches
  • map oligos to a genome for microarray design, primer design, and siRNA studies
Tera-Blast™ BLASTP AA AA Fast AA search, find easy homologous sequences, ungapped search
  • assign tentative functions
  • homology modelling when a match to protein with known 3D structure is found
Tera-Blast™ BLASTX NT AA Translate query in all 6 frames, search in AA space., ungapped search
  • assign tentative functions to novel cDNAs or EST
Tera-Blast™ TBLASTN AA NT Translate target in all 6 frames search resulting AA sequences, ungapped search
  • map proteins onto genome
Tera-Blast™ TBLASTX NT NT Translate query and target in all 6 frames, search the AA sequences, ungapped search
  • compare genomes, more sensitive for comparing coding regions

GeneDetective™
Algorithm
Query
Target
Description
Applications
GeneDetective

cDNAs or ESTs

genomic

genomic

cDNAs or ESTs

Utilizes Tera-BLAST and full Smith-Waterman alignments to map ESTs to genomic DNA
  • gene modeling
  • visual splice variant analysis

Protein

genomic

genomic

protein

  • gene modeling
  • visual splice variant analysis
Protein HMM
genomic
Maps hidden Markov Models onto genomics sequences to define gene model. Uses proprietary intron-spanning HMM-Framesearch to tolerate low quality sequences
  • gene modeling
  • visual splice variant analysis

genomic

Protein HMM

DeCypherSW™

Algorithm
Query
Target
Description
Applications
Smith-Waterman NT NT like BLASTN, more sensitive, allow gaps
  • find and mask repetitive elements
  • find regulatory regions
AA
AA like BLASTP, more sensitive, allow gaps

NT
AA like BLASTX, more sensitive, allow gaps

Double-Affine
Smith-Waterman
NT NT SW, allow very long gaps
  • map cDNAs onto genomes, can gap over long introns
AA
AA SW, allow very long gaps
  • situations where entire domains are deleted between otherwise homologous proteins
NT AA SW, allow very long gaps
  • map proteins onto genomes, can gap over long introns, if in frame
FrameSearch NT AA like BLASTX, more sensitive, can align across gaps and frameshifts
  • assign tentative functions to EST


AA NT like TBLASTN, more sensitive, can align across gaps and frameshifts
Symmetric Frame
Independent™
NT NT Solves indel issues with EST and other low coverage nucleic data by conducting a sensitive protein domain search between your nucleic query and the nucleic database, with frame shifting as needed.
  • like TBLASTX, more sensitive, allows for gaps and frameshifts



DeCypherHMM™

Algorithm
Query
Target
Description
Applications
Hidden Markov Model NT HMM Translate query in all 6 frames, search HMM database.
  • assign protein families, domains and functions to cDNAs or genomic sequences
NT
NT HMM
Compare NT sequence to NT HMM  database.
  • find repetitive elements
  • find regulatory regions: e.g. transcription factor binding sites
AA HMM AA sequence vs. HMM database.
  • assign domains and functions to protein sequences
  • predict 3D structures
HMM AA Compare HMM  to AA sequence database.
  • find new members ot the family of  proteins in HMM
  • train HMM
HMM FrameSearch NT HMM Translate query in all 6 frames, search HMM database, allow frameshifts in query
  • assign protein families, domains and functions to cDNAs or genomic sequences

HMM NT Translate target in all 6 frames, search with HMM, allow frameshifts in target
Profilescan NT Profile Translate query in all 6 frames, search profile database.
  • assign protein families, domains and functions to cDNAs or genomic sequences
NT
NT Profile
Compare NT sequence to NT profile database.
  • find repetitive elements
  • find regulatory regions: e.g. transcription factor binding sites
AA Profile AA sequence vs. profile database.
  • assign domains and functions to protein sequences
  • predict 3D structures
Profilesearch Profile AA Compares profile to AA sequence database.
  • find new members ot the family of  proteins in profile
  • train profiles
Profile FrameSearch NT Profile Translate query in all 6 frames, search profile database, allow frameshifts in query
  • assign protein families, domains and functions to cDNAs or genomic sequences
Profile NT Translate target in all 6 frames, search with profile, allow frameshifts in target
  • assign protein families, domains and functions to cDNAs or genomic sequences



Non-Accelerated Algorithms

ClustalW, with graphical rendition of dendrogram via Java applet

Algorithm Development

TimeLogic adapts established algorithms to run on our FPGA Accelerator Arrays by reinterpreting from first principles. Contact us today for additional information on DeCypher's accelerated algorithm services.

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