George 'Jake' Wendt III
Mr. Wendt has a broad programming and IT background with experience in multiple disciplines and full-stack development experience from system, database, web and software development and administration in a Linux environment. His previous work includes data processing on NASA projects like SOHO/LASCO at the Naval Research Laboratory in Washington DC, INTEGRAL in Versoix, Switzerland and the National Virtual Observatory at the Goddard Space Flight Center in Greenbelt, MD. He is currently working on several biomedical, genomic and proteomic research projects focusing on cancer at the Francis Lab, University of California, San Francisco.
During the past two decades, Mr. Wendt has developed complex automation bash scripts, pipelines and workflows, data parsing scripts with awk, scientific data processing, image reduction / movie production and full stack rails apps. He uses cloud resources from AWS, Azure and Google and cluster computing with slurm/scyld, AWS Batch and developed custom cloud cluster management software with a database-driven queue (dbQ).
His most exciting projects involve massive next-generation sequencing datasets where he has developed a number of bioinformatic pipelines that range in function, including calling novel retro-element insertions from whole genome data, categorizing the metagenome from RNA-seq, conducting tumor-normal subtraction and calling somatic mutational signatures.
He developed the Antimicrobial Resistance Intelligence System (ARIS) prototype on the University of Nevada, Reno's WolfCloud.
Most recently he was awarded $15,000 in AWS Cloud Credits for Research to investigate the viral content of the entire 1000 Genomes DNA data set, currently publicly available on S3, and the entire Genetic European Variation in Disease (GEUVADIS) RNA data set, whose subjects represent a small subset of 1000 Genomes. These combined analyses will provide us with the opportunity to determine active and dormant infection rates amongst the populations, as well as correlations to any other available metadata.
2000: BA, Physics and Astronomy, University of North Carolina at Greensboro
MGMS2: Membrane Glycolipid Mass Spectrum Simulator for polymicrobial samples.
Ryu S, Wendt GA, Goodlett, DR, Enrst, R.
Rapid Commun Mass Spectrom. 2020 Aug 30;34(16):e8824. doi: 10.1002/rcm.8824.
Model-Based Spectral Library Approach for Bacterial Identification via Membrane Glycolipids.
Ryu S, Wendt GA, Goodlett, DR.
Anal Chem. 2019 Sep 3;91(17):11482-11487. doi: 10.1021/acs.analchem.9b03340
MetaMSD: Meta Analysis for Mass Spectrometry Data.
Ryu S, Wendt GA.
PeerJ. 2019 Apr 10;7:e6699. doi: 10.7717/peerj.6699
To ERV is human: A phenotype-wide scan linking polymorphic human endogenous retrovirus-K insertions to complex phenotypes.
Wallace AD, Wendt GA, deSmith AJ, Walsh, KM, Barcellos, LJ Costello J, Wiemels JL, Francis, SS.
Front Genet. 2018 Aug 14;9:298. doi: 10.3389/fgene.2018.00298
In utero cytomegalovirus infection and development of childhood acute lymphoblastic leukemia.
Francis SS, Wallace AD, Wendt GA, Li L, Liu F, Riley LW, Kogan S, Walsh KM, de Smith AJ, Dahl GV, Ma X, Delwart E, Metayer C, Wiemels JL.
Blood. 2017 Mar 23;129(12):1680-1684. doi: 10.1182/blood-2016-07-723148