Bioinformatics and Computational Biology Graduate Program

Department of Genetics, Development, and Cell Biology

Daniel S. Standage

Education

Ph.D. in Bioinformatics and Computational Biology
Iowa State University, 2014 (expected)

B.S. in Bioinformatics, Minor in Mathematics, Minor in Computer Science
Brigham Young University, April 2010
3.53/4.00 GPA
University Honors
Honors thesis: PhyloProf: a software package for predicting gene function using phylogenetic profile analysis

Research

I am a graduate student in the research groups of Volker Brendel and Amy Toth at Iowa State University. My general research interests are in genome informatics, with a particular focus on genome annotation and analysis of high-throughput sequence data.

Recent innovations in sequencing technology have elevated the rate of genome sequencing to a staggering level, and the community is struggling to meet the corresponding demand for whole-genome gene annotations. Focusing instead on high-quality annotation of an individual gene of interest in a scaled-up comparative context (that is, the gene and all its homologs in all available related genomes) provides a novel way of leveraging the full scale of available genomic data. This paradigm is well-suited for the analytical approach employed by many biologists that focus their research projects on a single gene or small group of genes. My research interest is developing a framework that facilitates annotation and subsequent large-scale comparative analysis of individual genes of interest. Recent developments in the social insect community (a BGI initiative to sequence 100 social insect genomes within the next two years) and within the broader arthropod community (the i5k initiative to sequence 5000 insect and insect-related genomes within the next five years) provide an unprecedented opportunity to develop and apply this framework.

Publications

  • Daniel S. Standage and Volker P. Brendel (2012) ParsEval: parallel comparison and analysis of gene structure annotations. BMC Bioinformatics, 13:187.
  • Erin L. Doyle, Nicholas J. Booher, Daniel S. Standage, Daniel F. Voytas, Volker P. Brendel, John K. VanDyk, Adam J. Bogdanove (2012) TAL Effector-Nucleotide Targeter (TALE-NT) 2.0: Tools for TAL effector design and target prediction. Nucleic Acids Research, 40 (W1): W117-W122.

Posters

Social

Daniel S. Standage

Daniel S. Standage
2128 Molecular Biology Building
Iowa State University
Ames, IA 50010
standage@iastate.edu