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Sequence clustering
Results: 24

#	Item
11	Integrated Clustering and Motif Detection For Genome−Wide Sequence and Expression Data Daniel N. Hill William S. Hlavacek Add to Reading List Source URL: icsb-2001.org Language: English - Date: 2001-12-04 14:14:40 DNA Genetics Microarrays Regulation of gene expression Gene Transcription factor Cluster analysis Cis-regulatory module Ridge Biology Gene expression Molecular biology
12	Automatic selection of partitioning schemes for phylogenetic analyses using iterative k-means clustering of site rates Add to Reading List Source URL: digitalcollections.anu.edu.au Language: English - Date: 2015-04-16 13:13:34 Bioinformatics Machine learning Data mining Cluster analysis K-means clustering Multiple sequence alignment K-means++ Neighbor joining Partition Statistics Computational phylogenetics Computational statistics
13	Sublogo dendrograms: visualizing correlation in biological sequence motifs Toby Dylan Hocking1,∗ 1. LSTA; Universit´ e Paris 6, 175 Rue du Chevaleret, 75013 Paris, France * Contact author: Add to Reading List Source URL: math.agrocampus-ouest.fr Language: English - Date: 2011-12-19 09:50:38 Science Consensus sequence Hierarchical clustering Sequence logo Sequence motif Bioinformatics Statistics Dendrogram
14	Proceedings Template - WORD Add to Reading List Source URL: grids.ucs.indiana.edu Language: English - Date: 2012-08-20 08:58:29 Cluster analysis Data mining Geostatistics Sequence clustering Hierarchical clustering Sequence alignment Multiple sequence alignment Sequence analysis R-tree Statistics Bioinformatics Computational phylogenetics
15	Similarity-Based Clustering of Sequences Using Hidden Markov Models Manuele Bicego1 , Vittorio Murino1 , and M´ ario A.T. Figueiredo2 1 Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:46:02 Computational linguistics Markov models Cluster analysis Data mining Hierarchical clustering Hidden Markov model Pattern recognition Unsupervised learning Sequence clustering Statistics Machine learning Bioinformatics
16	A Hidden Markov Model-Based Approach to Sequential Data Clustering Antonello Panuccio, Manuele Bicego, and Vittorio Murino Dipartimento di Informatica, University of Verona Ca’ Vignal 2, Strada Le Grazie 15, 37134 Vero Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:44:51 Markov models Cluster analysis Data mining Hidden Markov model Hierarchical clustering Pattern recognition K-means clustering Sequence clustering Markov chain Statistics Machine learning Bioinformatics
17	A DNA-Based Registry for All Animal Species: The Barcode Index Number (BIN) System Sujeevan Ratnasingham1, Paul D. N. Hebert1,2 1 Biodiversity Institute of Ontario, University of Guelph, Guelph, Ontario, Canada, 2 Depar Add to Reading List Source URL: hydrodictyon.eeb.uconn.edu Language: English* - Date: 2013-11-05 08:23:07 Sequence clustering Single-linkage clustering DNA barcoding Sequence analysis Scops owl Segmentation Statistics Bioinformatics Cluster analysis
18	BIOINFORMATICS ORIGINAL PAPER Sequence analysis Add to Reading List Source URL: my.unil.ch Language: English Computational phylogenetics Cluster analysis Data mining Geostatistics Single-linkage clustering Hierarchical clustering Internal transcribed spacer Sequence alignment BLAST Statistics Science Bioinformatics
19	PLoS BIOLOGY The Sorcerer II Global Ocean Sampling Expedition: Expanding the Universe of Protein Families Shibu Yooseph1, Granger Sutton1, Douglas B. Rusch1, Aaron L. Halpern1, Shannon J. Williamson1, Karin Remington1, Add to Reading List Source URL: compbio.berkeley.edu Language: English* - Date: 2007-03-13 15:45:17 Biological databases Protein structure Proteins Protein domains Sequence clustering InterPro Pfam UniProt Structural genomics Biology Bioinformatics Science
20	LNAI[removed]Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB Add to Reading List Source URL: www.cs.ucla.edu Language: English - Date: 2007-08-08 17:07:18 Computational phylogenetics Mathematical optimization Single-linkage clustering K-means clustering Sequence alignment Dynamic programming Cluster analysis Consensus clustering Statistics Bioinformatics Computational statistics

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