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Ehsaneddin Asgari - Deep learning
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Ehsaneddin Asgari

Deep learning
UC Berkeley • Berkeley • United States of America (the)

Skills and expertise

Fields of interest
  • De novo sequencing analysis
  • Metagenomic sequencing analysis
  • NMR-based proteomics analysis
Languages
  • English
Programming languages
  • Python

TOOLS MAINTAINED

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DiTaxa

Desktop

DiTaxa

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Serves as a method for sequence phenotype classification and biomarker detection from 16S ribosomal RNA (16S rRNA) amplicon data. DiTaxa original approach is based on the substitution of standard…

MicroPheno

Desktop

MicroPheno

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Predicts the environment or host phenotype from microbial samples based on k-mer distributions in shallow subsamples of 16S rRNA data. MicroPheno has three principal functions such as: i) the use of…

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