In 2006, Dr. Cantarel received a Ph.D. in Biochemistry in the Structural and Computational Biology, Biophysics program from the University of Virginia. She spent one year as a postdoctoral fellow in the Department of Human Genetics at the University of Utah, where she was part of the team that developed MAKER, a eukaryotic genome annotation package. Then she spent two years as a postdoctoral fellow at the CNRS in Marseille, France. While in France, she began to work in an emerging field of metagenomics while developing new tools for carbohydrate-active enzyme gene classification.
In 2009, she moved to the University of Maryland, School of Medicine’s Institute for Genome Science, starting out as a bioinformatics analyst before joining the faculty on the research track. Because the University of Maryland was the Data Analysis and Coordination Center for the Human Microbiome Project (http://www.hmpdacc.org), Dr Cantarel acted as a scientific coordinator for the project and chaired the genes of interest committee, in addition to leading the data analysis for a number of heath-association projects and characterizing the carbohydrate-active enzymes in the various body sites of the human body.
In 2013, she moved to Baylor Research Institute at Baylor Scott and White in Dallas, TX. With a new next-generation sequencing core, Dr. Cantarel led the effort to bring NGS analysis to the bioinformatics core and participated in a number of immunological studies. With some colleagues from UVA, she was part of the team to develop BAYSIC, a variant integration tool.
Finally, in November 2015, Dr. Cantarel joined UTSW. She is interested in (i) developing the tools to make data analysis easier for researchers, (ii) coordinating classes to train students and post-doc in sequence analysis, and (iii) participate in large-scale sequence analysis projects. Dr. Cantarel is a key member of the Program for Human Genomics team involving researchers in pathology, immunology, and bioinformatics. The goal of this group is to develop next-generation sequence assays for use in the clinic. The NGS assays in developing include: tumor mutation profiling using a 1385 Gene Panel, Whole Exome for patients and HLA-testing. Because of the prospect of "big data", Dr. Cantarel is interesting in (i) improvement of variation detection methods and (ii) identification of novel biomarkers in cancer and rare disease.
- Graduate School
- University of Virginia Main Ca (2006), Biology
- Animal Associated Microbiome; Bacterial Genomics;
- Cancer Genomics
- Eukaryotic Genomics
- Next Generation Sequence (NGS) Analysis;; Whole Genome/Exome Variant Analysis; Transcriptomics; Epigenomics
- Protein Evolution
- Using Mothur to Determine Bacterial Community Composition and Structure in 16S Ribosomal RNA Datasets
- Sruthi Chappidi Erika C. Villa Brandi L. Cantarel Curr Protoc Bioinformatics 2019 67 1 e83
- A multidimensional blood stimulation assay reveals immune alterations underlying systemic juvenile idiopathic arthritis.
- Cepika AM, Banchereau R, Segura E, Ohouo M, Cantarel B, Goller K, Cantrell V, Ruchaud E, Gatewood E, Nguyen P, Gu J, Anguiano E, Zurawski S, Baisch JM, Punaro M, Baldwin N, Obermoser G, Palucka K, Banchereau J, Amigorena S, Pascual V J. Exp. Med. 2017 Sep
- Gut microbiota in multiple sclerosis: possible influence of immunomodulators.
- Cantarel BL, Waubant E, Chehoud C, Kuczynski J, DeSantis TZ, Warrington J, Venkatesan A, Fraser CM, Mowry EM J. Investig. Med. 2015 Jun 63 5 729-34
- Analysis of archived residual newborn screening blood spots after whole genome amplification.
- Cantarel BL, Lei Y, Weaver D, Zhu H, Farrell A, Benstead-Hume G, Reese J, Finnell RH BMC Genomics 2015 16 1 602
- BAYSIC: a Bayesian method for combining sets of genome variants with improved specificity and sensitivity.
- Cantarel BL, Weaver D, McNeill N, Zhang J, Mackey AJ, Reese J BMC Bioinformatics 2014 Apr 15 104
- Analysis of the gut microbiota in the old order Amish and its relation to the metabolic syndrome.
- Zupancic ML, Cantarel BL, Liu Z, Drabek EF, Ryan KA, Cirimotich S, Jones C, Knight R, Walters WA, Knights D, Mongodin EF, Horenstein RB, Mitchell BD, Steinle N, Snitker S, Shuldiner AR, Fraser CM PLoS ONE 2012 7 8 e43052
- Complex carbohydrate utilization by the healthy human microbiome.
- Cantarel BL, Lombard V, Henrissat B PLoS ONE 2012 7 6 e28742
- The Carbohydrate-Active EnZymes database (CAZy): an expert resource for Glycogenomics.
- Cantarel BL, Coutinho PM, Rancurel C, Bernard T, Lombard V, Henrissat B Nucleic Acids Res. 2009 Jan 37 Database issue D233-8
- MAKER: an easy-to-use annotation pipeline designed for emerging model organism genomes.
- Cantarel BL, Korf I, Robb SM, Parra G, Ross E, Moore B, Holt C, Sánchez Alvarado A, Yandell M Genome Res. 2008 Jan 18 1 188-96
- Exploring the relationship between sequence similarity and accurate phylogenetic trees.
- Cantarel BL, Morrison HG, Pearson W Mol. Biol. Evol. 2006 Nov 23 11 2090-100
The Carbohydrate-Active Enzymes Database (CAZy): A Metagenomic Expert Resource for Glycobiological Inference. In Encyclopedia of Metagenomics
Cantarel BL, Coutinho PM, Henrissat B. (2012). New York, NY, SpringerReference