Brendan Epstein Email & Phone Number | Bioinformaticist / computational biologist with very broad experience in genomics. See links below for Google Scholar profile and github account. Strengths: • I have good coding skills and extensive genomics data analysis experience, but I am trained as a biologist, so I can bridge the gap between data analysts and bench scientists. • I like being part of a team, and I get along well with others. • Particular expertise in microbial genomics and host-microbe interactions I'm open to new opportunities that involve analyzing data (biological and otherwise). Available for short-term contract work as well. Experience: • Next-generation sequencing data experience: whole genomes (WGS/DNA-seq), RAD-seq, GBS, RNA-seq, sequence capture, variant calling, genome assembly and annotation, population genomics, differential expression and co-expression network analyses (e.g. DESeq, WGCNA), select & resequence, comparative genomics, phylogenetics, phenotype-genotype association mapping ("GWAS"), integration of genomic data sources ("multi-omics") • Biological systems: viruses, bacteria, plants, insects, amphibians, and mammals • Coding: R, Python, bash, C++ • Analysis of big datasets using HPC clusters including local and cloud (AWS) systems • Data visualization

Brendan Epstein

Bioinformaticist / computational biologist with very broad experience in genomics. See links below f...
United States

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Brendan Epstein’s Location United States

Brendan Epstein’s Current Industry Standard Biotools

Brendan Epstein’s Prior Industry University Of Minnesota | Washington State University

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Scientist I, Statistical Genetics

2022-06-01 00:00:00 - Present

Researcher 6

2021-07-01 00:00:00 - 2022-06-01 00:00:00

Postdoctoral Researcher

2013-11-01 00:00:00 - 2016-06-01 00:00:00

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Brendan Epstein is a Bioinformaticist / computational biologist with very broad experience in genomics. See links below for Google Scholar profile and github account. Strengths: • I have good coding skills and extensive genomics data analysis experience, but I am trained as a biologist, so I can bridge the gap between data analysts and bench scientists. • I like being part of a team, and I get along well with others. • Particular expertise in microbial genomics and host-microbe interactions I'm open to new opportunities that involve analyzing data (biological and otherwise). Available for short-term contract work as well. Experience: • Next-generation sequencing data experience: whole genomes (WGS/DNA-seq), RAD-seq, GBS, RNA-seq, sequence capture, variant calling, genome assembly and annotation, population genomics, differential expression and co-expression network analyses (e.g. DESeq, WGCNA), select & resequence, comparative genomics, phylogenetics, phenotype-genotype association mapping ("GWAS"), integration of genomic data sources ("multi-omics") • Biological systems: viruses, bacteria, plants, insects, amphibians, and mammals • Coding: R, Python, bash, C++ • Analysis of big datasets using HPC clusters including local and cloud (AWS) systems • Data visualization