Informatics for Unveiling Hidden Genome Signatures

With the increasing amount of available genome sequences, novel tools are needed for comprehensive analysis of species-specific sequence characteristics for a wide variety of genomes. We used an unsupervised neural network algorithm, a self-organizing map (SOM), to analyze di-, tri-, and tetranucleo...

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Main Authors: Abe, Takashi, Kanaya, Shigehiko, Kinouchi, Makoto, Ichiba, Yuta, Kozuki, Tokio, Ikemura, Toshimichi
Formáid: Artigo
Teanga:Inglês
Foilsithe: Cold Spring Harbor Laboratory Press 2003
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Methods
Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC430167/
https://ncbi.nlm.nih.gov/pubmed/12671005
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/gr.634603
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