Education

2016 — present Postdoctoral Scholar
Lab for Data Intensive Biology
University of California, Davis
2010 — 2016 Ph.D. in Bioinformatics and Computational Biology
Iowa State University
In residence at Indiana University July 2012 — May 2016
2003 — 2010 B.S. in Bioinformatics (with minors in Mathematics and Computer Science)
Brigham Young University
University Honors

Scholarship

Publications

  • Standage DS, Berens AJ, Glastad KM, Severin AJ, Brendel VP, Toth AL (2016) Genome, transcriptome, and methylome sequencing of a primitively eusocial wasp reveal a greatly reduced DNA methylation system in a social insect. Molecular Ecology, doi:10.1111/mec.13578.
  • Duvick JP, Standage DS, Merchant N, Brendel VP (2016) xGDBvm: A Web GUI-driven workflow for annotating eukaryotic genomes in the cloud. The Plant Cell, Advance publication, doi:10.1105/tpc.15.00933.
  • Standage DS, Brendel VP (2012) ParsEval: parallel comparison and analysis of gene structure annotations. BMC Bioinformatics, 13:187, doi:10.1186/1471-2105-13-187.
  • Doyle EL, Booher NJ, Standage DS, Voytas DF, Brendel VP, VanDyk JK, Bogdanove AJ (2012) TAL Effector-Nucleotide Targeter (TALE-NT) 2.0: Tools for TAL effector design and target prediction. Nucleic Acids Research, 40 (W1): W117-W122, doi:10.1093/nar/gks608.

Oral Presentations

  • Standage DS, Toth AL, Brendel VP. iLoci: scalable annotation for provisional genome assemblies. Presented at CSHL Biology and Genomics of Social Insects Meeting, May 2015. Manuscript in preparation.
  • Duvick JP, Denton JF, Standage DS, Merchant N, Brendel VP. xGDBvm: a virtual platform for annotating eukaryotic genomes. Invited talk given at PAG XXI, January 2013.

Posters

  • Standage DS, Brendel VP, Toth AL. Genome sequence and annotation of the primitively social paper wasp Polistes dominula. Presented at Notre Dame Arthropod Genomics Conference, June 2013.
  • Brendel VP, Standage DS. mRNAmarkup: quality control and annotation of de novo transcriptome assemblies. Presented at CSHL Genome Informatics meeting, November 2013.

Research Experience

Graduate Research Assistant, Computational Genome Science Lab, Indiana University, 2012 — present

  • investigate comparative genomics of social insects
  • investigate eukaryotic genome composition and organization
  • develop tools for management, quality control and analysis of annotated genomes
  • teach computational genome science course to biology and bioinformatics grad students

Graduate Research Assistant, BCB Graduate Program, Iowa State University, 2010 — 2012

  • First year research rotations
    • develop tools for comparison of genome annotations
    • identify transposable elements in Gossypium (cotton)
    • implement multithreading support for short read error correction software
  • Research assistantship
    • follow through with first research rotation to engineer and publish a tool for comparison of genome annotations (ParsEval)
    • assemble and annotate genome of the eusocial wasp Polistes dominula
    • assist with data management and migration of a large comparative plant genomics database (PlantGDB)
    • develop and participate in a course on NGS applications to genomics

Undegraduate Research Technician, Plant Genetics Lab, Brigham Young University, 2009 — 2010

  • analyze homoeologous gene expression (genes duplicated by polyploidy) in cotton with high-throughput sequencing technology
  • prototype an electronic sample submission system for on-site 454 sequencer
  • develop software for SNP analysis in polyploid organisms
  • assemble and map high-throughput sequence data (454 and Illumina)
  • configure a genome browser for transcriptome visualization

Research Intern, Department of Genetics, University of Georgia, 2008

  • model and simulate genetic networks in Neurospora crassa
  • analyze biological clocks in fungi using basic experimental protocols (Northern blot, RNA extraction, gene electrophoresis, etc)
  • introduction to systems biology and network modeling
  • introduction to high-performance computing
  • utilize phylogenetic profile analysis to identify genes involved with the biosynthesis of cell wall monosaccharides

Undegraduate Research Assistant, Center for Language Studies, Brigham Young University, 2007 — 2010

  • develop applications and architectures to support development, delivery, and assessment of electronic learning resources and student performance
  • focus on best practices such as separation of content, presentation, and logic
  • work directly with subject matter experts and instructional designers to create instructional materials
  • evangelize the topics of openness, modularity, and interoperability in the learning community
  • served (briefly) as chair of the Architecture working group for LETSI (the International Federation for Learning, Education, and Training Systems Interoperability)

Professional Activities

Journal Review

  • Science, May 2013
  • Bioinformatics, April 2013, October 2016

Open-source Software and Data

Community Training

Technical Skills

  • Software development: C, Python, C++, Java
  • Scripting, data processing: Python, Perl, Bash
  • Data analysis, statistical computing: Python, R
  • Pipelines, workflow management: Bash, GNU Make
  • High-performance computing: MPI programming, OpenMP programming, job scheduling and resource management, VM/cloud computing

Teaching

Computational Genome Science (Fall 2011, Spring 2013, Spring 2014, Spring 2015, Spring 2016)

Graduate course covering the full range of computational genomics analysis: quality control, read mapping, expression profiling, genome assembly, transcript assembly, and annotation. The class provides brief exposure to relevant theory, but focuses primarily on installing and running software and (most importantly) critical analysis and biological interpretation of results. I helped develop the course in 2011, and since 2013 I have been the primary instructor.

Science of Biology, Honors (Spring 2007, Spring 2008)

As an undergraduate I was a teaching assistant for Prof. Craig Coleman's Biol 120H class. This class provided a comprehensive introduction to the biological sciences, with modules for biochemistry, molecular biology, genetics, cell biology, and evolution. The course focused on learning the scientific method with computer-based experiment simulations, and had a heavy emphasis on writing.