Compressed suffix tree - a basis for genome-scale sequence analysis

Välimäki N, Gerlach W, Dixit K, Mäkinen V (2007)
BIOINFORMATICS 23(5): 629-630.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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DOI
Autor*in
Välimäki, Niko; Gerlach, WolfgangUniBi; Dixit, Kashyap; Mäkinen, Veli
Einrichtung
Technische Fakultät > AG Genominformatik
Centrum für Biotechnologie > Institut für Bioinformatik
Erscheinungsjahr
2007
Zeitschriftentitel
BIOINFORMATICS
Band
23
Ausgabe
5
Seite(n)
629-630
ISSN
1367-4803
eISSN
1460-2059
Page URI
https://pub.uni-bielefeld.de/record/1594917

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Välimäki N, Gerlach W, Dixit K, Mäkinen V. Compressed suffix tree - a basis for genome-scale sequence analysis. BIOINFORMATICS. 2007;23(5):629-630.
Välimäki, N., Gerlach, W., Dixit, K., & Mäkinen, V. (2007). Compressed suffix tree - a basis for genome-scale sequence analysis. BIOINFORMATICS, 23(5), 629-630. https://doi.org/10.1093/bioinformatics/btl681
Välimäki, Niko, Gerlach, Wolfgang, Dixit, Kashyap, and Mäkinen, Veli. 2007. “Compressed suffix tree - a basis for genome-scale sequence analysis”. BIOINFORMATICS 23 (5): 629-630.
Välimäki, N., Gerlach, W., Dixit, K., and Mäkinen, V. (2007). Compressed suffix tree - a basis for genome-scale sequence analysis. BIOINFORMATICS 23, 629-630.
Välimäki, N., et al., 2007. Compressed suffix tree - a basis for genome-scale sequence analysis. BIOINFORMATICS, 23(5), p 629-630.
N. Välimäki, et al., “Compressed suffix tree - a basis for genome-scale sequence analysis”, BIOINFORMATICS, vol. 23, 2007, pp. 629-630.
Välimäki, N., Gerlach, W., Dixit, K., Mäkinen, V.: Compressed suffix tree - a basis for genome-scale sequence analysis. BIOINFORMATICS. 23, 629-630 (2007).
Välimäki, Niko, Gerlach, Wolfgang, Dixit, Kashyap, and Mäkinen, Veli. “Compressed suffix tree - a basis for genome-scale sequence analysis”. BIOINFORMATICS 23.5 (2007): 629-630.

9 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

A framework for periodic outlier pattern detection in time-series sequences.
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Compressive biological sequence analysis and archival in the era of high-throughput sequencing technologies.
Giancarlo R, Rombo SE, Utro F., Brief Bioinform 15(3), 2014
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Efficient haplotype matching and storage using the positional Burrows-Wheeler transform (PBWT).
Durbin R., Bioinformatics 30(9), 2014
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HIVE-hexagon: high-performance, parallelized sequence alignment for next-generation sequencing data analysis.
Santana-Quintero L, Dingerdissen H, Thierry-Mieg J, Mazumder R, Simonyan V., PLoS One 9(6), 2014
PMID: 24918764
Motif discovery and transcription factor binding sites before and after the next-generation sequencing era.
Zambelli F, Pesole G, Pavesi G., Brief Bioinform 14(2), 2013
PMID: 22517426
PARSEC: PAtteRn SEarch and Contextualization.
Allot A, Anno YN, Poidevin L, Ripp R, Poch O, Lecompte O., Bioinformatics 29(20), 2013
PMID: 23929031
Textual data compression in computational biology: a synopsis.
Giancarlo R, Scaturro D, Utro F., Bioinformatics 25(13), 2009
PMID: 19251772

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