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SOMA | Self Organizing Map Application

Back to Login Form. Welcome to the TaxSOM Web interface! Is a tool for taxonomic classification of DNA fragments, as they are typically obtained in metagenome projects. The classification is based on taxon-specific DNA base composition characteristics (genomic signatures). Classification of query sequences is achieved by mapping the query sequences to the genomic signatures of sequences with known taxonomic affiliations. The mapping is done via the Self-Organizing Map (SOM) algorithm. The batch-learning ...

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SOMA | Self Organizing Map Application | soma.arb-silva.de Reviews
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Back to Login Form. Welcome to the TaxSOM Web interface! Is a tool for taxonomic classification of DNA fragments, as they are typically obtained in metagenome projects. The classification is based on taxon-specific DNA base composition characteristics (genomic signatures). Classification of query sequences is achieved by mapping the query sequences to the genomic signatures of sequences with known taxonomic affiliations. The mapping is done via the Self-Organizing Map (SOM) algorithm. The batch-learning ...
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1 username
2 e mail
3 enter password
4 re enter password
5 taxsom
6 som selection
7 calculation start
8 upload of sequences
9 under the hood
10 citation
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SOMA | Self Organizing Map Application | soma.arb-silva.de Reviews

https://soma.arb-silva.de

Back to Login Form. Welcome to the TaxSOM Web interface! Is a tool for taxonomic classification of DNA fragments, as they are typically obtained in metagenome projects. The classification is based on taxon-specific DNA base composition characteristics (genomic signatures). Classification of query sequences is achieved by mapping the query sequences to the genomic signatures of sequences with known taxonomic affiliations. The mapping is done via the Self-Organizing Map (SOM) algorithm. The batch-learning ...

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SOMA | Self Organizing Map Application

Back to Login Form. Welcome to the TaxSOM Web interface! Is a tool for taxonomic classification of DNA fragments, as they are typically obtained in metagenome projects. The classification is based on taxon-specific DNA base composition characteristics (genomic signatures). Classification of query sequences is achieved by mapping the query sequences to the genomic signatures of sequences with known taxonomic affiliations. The mapping is done via the Self-Organizing Map (SOM) algorithm. The batch-learning ...

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