Adam Diehl

Staff since February 2015
Bioinformatician

Research areas

  • Gene Regulation
  • Bioinformatics
  • High-throughput genomics
  • Software Development

Education

  • B.S.: Michigan State University
  • M.S.: Cornell University

Background

Adam Diehl completed his Masters in Genetics at Cornell University in July of 2010, in the lab of Adam Siepel, where he developed a hidden Markov model to identify species-specific transcription factor binding sites. His current research centers on gene regulatory grammar and evolution, using the human and mouse genomes as model systems. He has a strong background in teaching and enjoys mentoring students and helping other lab members find solutions to computational and bioinformatics problems.

Boyle lab papers

  1. Diehl AG and Boyle AP. 2016. Deciphering ENCODE. Trends in Genetics. 32: 238-249. DOI: 10.1016/j.tig.2016.02.002.

  2. Diehl AG and Boyle AP. 2018. Conserved and species-specific transcription factor co-binding patterns drive divergent gene regulation in human and mouse. Nucleic Acids Research. 46: 1878-1894. DOI: 10.1093/nar/gky018.

  3. Diehl AD and Boyle AP. 2019. CGIMP: Real-time exploration and covariate projection for self-organizing map datasets. Journal of Open Source Science. 4: 1520. DOI: 10.21105/joss.01520.

  4. Diehl AD and Boyle AP. 2020. MapGL: Inferring evolutionary gain and loss of short genomic sequence features by phylogenetic maximum parsimony. BMC Bioinformatics. 21: 416. DOI: 10.1186/s12859-020-03742-9.

  5. Diehl AD, Ouyang N, and Boyle AP. 2020. Transposable elements contribute to cell and species-specific chromatin looping and gene regulation in mammalian genomes.. Nature Communications. 1: 1796. DOI: 10.1038/s41467-020-15520-5.