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BMCBI
2010
135views more  BMCBI 2010»
13 years 9 months ago
Efficient genome-scale phylogenetic analysis under the duplication-loss and deep coalescence cost models
Background: Genomic data provide a wealth of new information for phylogenetic analysis. Yet making use of this data requires phylogenetic methods that can efficiently analyze extr...
Mukul S. Bansal, J. Gordon Burleigh, Oliver Eulens...
BMCBI
2008
125views more  BMCBI 2008»
13 years 9 months ago
XplorSeq: A software environment for integrated management and phylogenetic analysis of metagenomic sequence data
Background: Advances in automated DNA sequencing technology have accelerated the generation of metagenomic DNA sequences, especially environmental ribosomal RNA gene (rDNA) sequen...
Daniel N. Frank
BMCBI
2005
121views more  BMCBI 2005»
13 years 9 months ago
Automated methods of predicting the function of biological sequences using GO and BLAST
Background: With the exponential increase in genomic sequence data there is a need to develop automated approaches to deducing the biological functions of novel sequences with hig...
Craig E. Jones, Ute Baumann, Alfred L. Brown
KDD
2009
ACM
611views Data Mining» more  KDD 2009»
14 years 9 months ago
Fast approximate spectral clustering
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
Donghui Yan, Ling Huang, Michael I. Jordan
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
14 years 9 months ago
Anomaly pattern detection in categorical datasets
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
Kaustav Das, Jeff G. Schneider, Daniel B. Neill