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Ehsaneddin Asgari - Bioinformatician • Doctorate/PhD
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Ehsaneddin Asgari

Bioinformatician • Doctorate/PhD

University of California System • University of California, Berkeley • Berkeley, United States of America

Skills and expertise

Omics and technologies

  • De novo sequencing analysis
  • Metagenomic sequencing analysis
  • NMR-based proteomics analysis

Programming languages

  • Python

Languages

  • English

Reviews and Discussions

LATEST REVIEWS

MicroPheno 2018-06-29, 09:32:12
I am the first author of this paper and tool. This software predicts 16S rRNA phenotype using k-mer profile. So it does not have anything with taxonomy classification and homology. In addition, the…

LATEST DISCUSSIONS

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Tools maintained

MicroPheno

Desktop

MicroPheno

(1) 0 discussion(s)
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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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…