From: Don Armstrong <don@donarmstrong.com>
Date: Fri, 13 Apr 2018 22:46:21 +0000 (-0700)
Subject: update resume for landolakes
X-Git-Url: https://git.donarmstrong.com/?a=commitdiff_plain;h=refs%2Fheads%2Flandolakes_data_analyst;p=resume.git

update resume for landolakes
---

diff --git a/don_armstrong_resume.org b/don_armstrong_resume.org
index f7e8d1e..c31d14a 100644
--- a/don_armstrong_resume.org
+++ b/don_armstrong_resume.org
@@ -65,8 +65,28 @@
 ** Batchelor of Science (BS) in Biology \hfill UC Riverside
 
 * Skills
+** 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.
++ Assembly of non-model transcriptomes and genomes using trinity,
+  cortex_var, and soapdenovo.
++ Linkage and association-based mapping of complex phenotypes using
+  next-generation sequencing and arrays
++ Alignment, annotation, and variant calling using existing and custom
+  software
++ 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
 ** Data Science
-+ Reproducible, scalable analyses using *R*, *perl*, and python with
++ Reproducible, scalable analyses using R, perl, and python with
   workflows on cloud- and cluster-based systems on terabyte-scale
   datasets
 + Experimental design and correction to overcome multiple testing,
@@ -78,7 +98,7 @@
   time series, and machine learning in very large (> 1TB) datasets)
 + Data mining, cleaning, processing and quality assurance of data
   sources and products using tidydata formalisms
-+ Visualization using *R*, ggplot, Shiny, and custom written routines.
++ Visualization using R, ggplot, Shiny, and custom written routines.
 ** Software Development
 + Languages: perl, R, C, C++, python, groovy, sh, make
 + Collaborative Development: git, travis, continuous integration,
@@ -87,20 +107,6 @@
 + 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
 ** Statistics
 + Statistical modeling (regression, inference, prediction, and
   learning in very large (> 1TB) datasets)
@@ -111,11 +117,6 @@
 + Inter-process communication: MPI, OpenMP
 + Filestorage: Gluster, CEFS, GPFS, Lustre
 + Linux system administration
-** Genomics and Epigenomics
-+ Linkage and association-based mapping of complex phenotypes using
-  next-generation sequencing and arrays
-+ Alignment, annotation, and variant calling using existing and custom
-  software
 ** Mentoring and Leadership
 + Mentored graduate students and Outreachy and Google Summer of Code
   interns