About: Architecture Model for Approximate Tandem Repeat Detection     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Algorithms for biological sequence analysis, such as approximate string matching or algorithms for identification of sequence patterns supporting specific structural elements, present good opportunities for hardware acceleration. Implementation of these algorithms often results in architectures based on multidimensional arrays of computing elements. Mapping effectively these computational structures on FPGAs remains one of the challenging problems. This paper focuses on a specific hardware architecture for detection of approximate tandem repeats in sequences. We show how to create a parametrized architecture model combined with an automatic technique that can determine appropriate circuit dimensions with respect to input task parameters and the target platform properties.
  • Algorithms for biological sequence analysis, such as approximate string matching or algorithms for identification of sequence patterns supporting specific structural elements, present good opportunities for hardware acceleration. Implementation of these algorithms often results in architectures based on multidimensional arrays of computing elements. Mapping effectively these computational structures on FPGAs remains one of the challenging problems. This paper focuses on a specific hardware architecture for detection of approximate tandem repeats in sequences. We show how to create a parametrized architecture model combined with an automatic technique that can determine appropriate circuit dimensions with respect to input task parameters and the target platform properties. (en)
Title
  • Architecture Model for Approximate Tandem Repeat Detection
  • Architecture Model for Approximate Tandem Repeat Detection (en)
skos:prefLabel
  • Architecture Model for Approximate Tandem Repeat Detection
  • Architecture Model for Approximate Tandem Repeat Detection (en)
skos:notation
  • RIV/00216305:26230/11:PU96097!RIV13-GA0-26230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA204/08/1560), S, Z(MSM0021630528)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 187017
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/11:PU96097
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Approximate tandem repeat, Architecture model, Automated mapping, FPGA, (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4A7BD9645251]
http://linked.open...v/mistoKonaniAkce
  • Santa Monica, California
http://linked.open...i/riv/mistoVydani
  • Santa Monica, California
http://linked.open...i/riv/nazevZdroje
  • 22nd IEEE International Conference on Application-specific Systems, Architectures and Processors
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Lexa, Matej
  • Martínek, Tomáš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/ASAP.2011.6043277
http://purl.org/ne...btex#hasPublisher
  • IEEE Computer Society
https://schema.org/isbn
  • 978-1-4577-1290-6
http://localhost/t...ganizacniJednotka
  • 26230
is http://linked.open...avai/riv/vysledek of
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 85 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software