From c12cc31a822938bb47987f16900ab3eaa93cc4ab Mon Sep 17 00:00:00 2001 From: Don Armstrong Date: Thu, 5 Apr 2018 16:16:36 -0700 Subject: [PATCH] comment out genomics and epigenomics --- don_armstrong_resume.org | 28 ++++++++++++++-------------- 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/don_armstrong_resume.org b/don_armstrong_resume.org index 13b25de..1444ef3 100644 --- a/don_armstrong_resume.org +++ b/don_armstrong_resume.org @@ -86,20 +86,20 @@ + Databases: Postgresql (PL/SQL), SQLite, Mysql, NoSQL + Office Software: Gnumeric, Libreoffice, \LaTeX, Word, Excel, Powerpoint -** Genomics and Epigenomics -+ NGS and array-based Genomics and Epigenomics of complex human - diseases using RNA-seq, targeted DNA sequencing, RRBS, Illumina - bead arrays, and Affymetrix microarrays from sample collection to - publication. -+ Reproducible, scalable bioinformatics analysis using make, - nextflow, and cwl based workflows on cloud- and cluster-based - systems on terabyte-scale datasets -+ Alignment, annotation, and variant calling using existing and custom - software, including GATK, bwa, STAR, and kallisto. -+ Correcting for and experimental design to overcome multiple - testing, confounders, and batch effects using Bayesian and - frequentist methods approaches -+ Using evolutionary genomics to identify causal human variants +# ** Genomics and Epigenomics +# + NGS and array-based Genomics and Epigenomics of complex human +# diseases using RNA-seq, targeted DNA sequencing, RRBS, Illumina +# bead arrays, and Affymetrix microarrays from sample collection to +# publication. +# + Reproducible, scalable bioinformatics analysis using make, +# nextflow, and cwl based workflows on cloud- and cluster-based +# systems on terabyte-scale datasets +# + Alignment, annotation, and variant calling using existing and custom +# software, including GATK, bwa, STAR, and kallisto. +# + Correcting for and experimental design to overcome multiple +# testing, confounders, and batch effects using Bayesian and +# frequentist methods approaches +# + Using evolutionary genomics to identify causal human variants ** Statistics + Statistical modeling (regression, inference, prediction, and learning in very large (> 1TB) datasets) -- 2.39.5