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Soft Topographic Map for Clustering and Classification of Bacteria
Published on Oct 08, 20076114 Views
In this work a new method for clustering and building a topographic representation of a bacteria taxonomy is presented. The method is based on the analysis of stable parts of the genome, the so-called
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Chapter list
Soft Topographic Map for Clustering and Classification of Bacteria00:00
Outline00:13
Motivation00:24
Goal01:21
Methodologies pt 101:45
Methodologies pt 201:47
Building Dataset02:13
Sequence Alignment03:01
Evolutionary Distances03:34
Soft Topographic Map Algorithm pt 104:19
Soft Topographic Map Algorithm pt 205:01
Experimental Results pt 106:27
Experimental Results pt 206:33
Experimental Results pt 307:05
Experimental Results pt 407:49
Experimental Results pt 508:17
Experimental Results pt 608:52
Experimental Results pt 709:28
Conclusions and Future Work pt 110:05
Conclusions and Future Work pt 210:08
Normalized Compressed Distance (NCD)11:06
Experimental Results with NCD pt 111:50
Experimental Results with NCD pt 212:09
Experimental Results with NCD pt 312:22
Experimental Results with NCD pt 412:55
Experimental Results with NCD pt 513:23