Christopher M. Taylor, PhD
Department of Microbiology, Immunology & Parasitology
Bioinformatics, Biostatistics, & Computational Biology Core
Louisiana Biomedical Research Network
Ph.D. in Computer Science
M.S. in Computer Science
B.S. with Honors in Computer Science and Mathematics
Dr. Taylor earned his PhD in 2008 from the University of Virginia under the direction of Dr. Anindya Dutta (Harry F. Byrd Professor and Chair of Biochemistry and Molecular Genetics) and Dr. Gabriel Robins (Professor of Computer Science). For his dissertation, Dr. Taylor developed a method for generating a continuous profile of DNA replication timing from discrete pools of replicated DNA hybridized to genome tiling microarrays. This work also proposed a method for finding origins of replication and discovering regions of the genome where alleles replicate asynchronously. This approach was presented at Pattern Recognition in Bioinformatics 2008 in Melbourne, Australia and later published as part of an invited chapter for Methods in Molecular Biology in 2009. During this time, Dr. Taylor was a member of the NIH ENCODE Consortium and a member of the Chromatin, Chromosomes & Replication Analysis group as part of the ENCODE Science publication. He was also the lead analyst for replication and a member of the Integrated Analysis and Manuscript Preparation group for the ENCODE Nature publication.
After his graduate work, Dr. Taylor joined the University of New Orleans as an Assistant Professor of Computer Science in 2008. As a new faculty member, Dr. Taylor shifted his focus from microarrays to the emerging technology of high throughput sequencing. He established several collaborations with basic scientists and clinical researchers in the area and developed two major branches of his subsequent research: Microbial Community Sequencing and RNA Sequencing. This work led to the development of PARSES and RNA CoMPASS, integrated systems for dual RNA-Sequencing analysis along with a software framework for microbial community profiling.
Dr. Taylor joined LSUHSC in December 2012 as an Associate Professor in the Department of Microbiology, Immunology and Parasitology where he currently resides. He is a founding member of the Microbial Genomics Resource Group and has built an informatics laboratory at the School of Medicine focused on microbial community sequencing, analysis, and visualization.He was recently appointed as the Director of the Bioinformatics, Biostatistics and Computational Biology Core of the Louisiana Biomedical Research Network. His research laboratory maintains several terabytes of sequence data and designs innovative software systems for visualization and analysis of high-throughput sequencing experiments.
Dr. Taylor’s research lies in the realm of Computational Biology and Bioinformatics, specifically related to applications of high throughput sequencing. This research is highly collaborative in nature involving the development of algorithms for analysis and visualization of sequencing data. The human microbiome is a specific application of interest and my lab has been involved with studies of the vaginal, gut, oral, and lung microbiomes.
Visual and statistical analysis for microbial communities (Viamics)
Pipeline for Analysis of RNA-Seq Exogenous Sequences (PARSES)
Guorong Xu - PhD, June 18, 2012: RNA CoMPASS: RNA Comprehensive Multi-Processor Analysis System for Sequencing
"Meren" A. Murat Eren - PhD, April 6, 2011: Assessing Microbial Diversity Through Nucleotide Variation
Joseph Coco - MS, April 11, 2011: PARSES: A Pipeline for Analysis of RNA-Sequencing Exogenous Sequences
"Johnny" Jonathan Brown - BS, May 18, 2012
|Committees & Administrative Responsibilities||
Search Committee for Department Head of Genetics, 2013-2014
School of Medicine Research Advisory Committee, 2013-2015
School of Medicine International Travel Committee, 2014-2016
Basic Science Delegate to Faculty Assembly, 2015-2017
|In The News||
In January 2015, Dr. Taylor was selected as the winner of $5,000 of Illumina sequencing reagents in Illumina's MiSeq My Focus contest. As a part of the Microbial Genomics Resource Group, the lab uses the Illumina MiSeq to explore microbial diversity in the gastrointestinal tract, urogenital tract, airways, and hospital environments. Differences in bacterial community structure in these environments often correlate with diseases and we aim to advance diagnosis and treatment of a variety of conditions including sexually transmitted infections, obesity, diabetes and cancer. The new University Medical Center will be opening its doors this summer and we intend to use these sequencing reagents to augment a joint study of the host and environmental microbial interactions as patients populate the new intensive care units. We hope that our findings will have a positive impact on the standard of care regarding environmental precautions and particularly stemming the spread of antibiotic resistant microorganisms.