Using Tries for Evaluating Monge-Elkan Distance on Genomic Sequences
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00315194" target="_blank" >RIV/68407700:21230/17:00315194 - isvavai.cz</a>
Result on the web
<a href="http://radio.feld.cvut.cz/conf/poster/poster2017/proceedings/Poster_2017/Section_IC/IC_017_Rysavy.pdf" target="_blank" >http://radio.feld.cvut.cz/conf/poster/poster2017/proceedings/Poster_2017/Section_IC/IC_017_Rysavy.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Using Tries for Evaluating Monge-Elkan Distance on Genomic Sequences
Original language description
Processing of genetic sequences become a popu- lar task in past years. Next-generation sequencing machines produce sets of short substrings of a DNA sequence, called reads. Recently there has been proposed a method how to measure distance between read sets using Monge-Elkan sim- ilarity known from the field of databases. In this paper we study applicability of tries on Monge-Elkan similarity. Tries have been used with success for improving runtime of dictio- nary search and similarity joins, which are problems sim- ilar to evaluating Monge-Elkan similarity. We show that our approach outperforms the straightforward evaluation of Monge-Elkan similarity for very short reads. However the speedup achieved is smaller than on dictionary search and similarity joins.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the International Student Scientific Conference Poster – 21/2017
ISBN
978-80-01-06153-4
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
1-5
Publisher name
Czech Technical University in Prague
Place of publication
Praha
Event location
Praha
Event date
May 23, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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