Glen Beane, M.S.

Software Engineer III

Bar Harbor, ME

High Performance Computing, automated analysis pipelines.

Bioinformatics
Computational Biology

Contact me at: 207-288-6153

Connect with me:

About Glen Beane, M.S.

I am a software engineer with a background in High Performance Computing. I have developed parallel software (both multi-threaded and distributed with MPI) in a variety of languages including C, C++, and Python. In addition to HPC projects, I have developed a variety of analysis and data management tools in Python (both web applications and command line). I have also helped design and am currently the primary maintainer of the Civet pipeline framework, which drives analysis pipelines used for the JAX Cancer Treatment Profile and PDX.

Research Applications and Tools

Glen is associated with the following research applications and tools:

CRISPR Tools
Civet
GeneWeaver
Emase-zero

Selected Publications

Szatkiewicz JP, Beane GL, Ding Y, Hutchins L, Pardo-Manuel de Villena F, Churchill GA. An imputed genotype resource for the laboratory mouse. Mamm Genome. 2008 Mar;19(3):199-208.
Mlodzianoski MJ, Juette MF, Beane GL, Bewersdorf J. Experimental characterization of 3D localization techniques for particle-tracking and super-resolution microscopy. Opt Express. 2009 May 11;17(10):8264-77.
Peterson, K.A., Beane, G.L., Goodwin, L.O. et al. CRISPRtools: a flexible computational platform for performing CRISPR/Cas9 experiments in the mouse. Mamm Genome. 2017.