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Maricel Kann

Associate Professor

Biological Sciences
Biological Sciences Bldg, Room 116
Other, National Center for Biotechnology Information (NIH) (2007)
Ph D, University of Michigan (2001)
MS, Universidad de la República. Montevideo (1994)
BS, Universidad de la República (1991)

Dr. Kann received a B. Sc. and graduate degree in Chemistry from the Universidad de la Republica in Montevideo (Uruguay),and a doctoral degree from the University of Michigan, Ann Arbor.She is one of the leading experts in the area of translational Bioinformatics and has chaired several international conference sessions.

Research Interests

Dr. Kann's research focuses on computational approaches to annotate the human genome with the goal of revealing the molecular underpinning of human diseases. One of the crucial steps after sequencing the genome is to classify and assign function to gene-encoded proteins. Dr. Kann's work addresses these challenges studying new computational methodologies to align, classify and predict interactions of proteins as well as to identify the role of certain mutations in the disease mechanisms.

Teaching Interests

Dr. Kann's main focus is in teaching students the basic and more advanced aspects of bioinformatics. She had taught BINF 313, intro bioinformatics and BINF495, Bioinformatics seminar since 2007. She has also taught a new graduate seminar based on the book she edited, Translational Bioinformatics, a collection in PLOS Computational Biology.

Selected Classes
Spring 2010 BIOL 313 – Bioinformatics Intro
Intellectual Contributions

Empirical null estimation using zero-inflated discrete mixture distributions and its application to protein domain data. Biometrics

Reading Between the Genes: Computational Models to Discover Function from Noncoding DNA. vol. 23 507-511 Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing

Oncodomains: A protein domain-centric framework for analyzing rare variants in tumor samples 4 vol. 13 PLOS Computational Biology

Recruitment of Tiam1 to Semaphorin 4D Activates Rac and Enhances Proliferation, Invasion, and Metastasis in Oral Squamous Cell Carcinoma. 2 vol. 19 65-74 Neoplasia (New York, N.Y.)

Regulatory Single-Nucleotide Variant Predictor Increases Predictive Performance of Functional Regulatory Variants. 11 vol. 37 1137-1143 Human mutation


Mac-1 Regulates IL-13 Activity in Macrophages by Directly Interacting with IL-13Rα1. 35 vol. 290 21642-51 The Journal of biological chemistry

Small-angle X-ray scattering method to characterize molecular interactions: Proof of concept. vol. 5 12085 Scientific reports

Hybrid curation of gene-mutation relations combining automated extraction and crowdsourcing. vol. 2014 Database : the journal of biological databases and curation

Towards precision medicine: advances in computational approaches for the analysis of human variants. 21 vol. 425 4047-63 Journal of molecular biology

Domain landscapes of somatic mutations in cancer. vol. 2013 136 AMIA Joint Summits on Translational Science proceedings AMIA Summit on Translational Science

A protein domain-centric approach for the comparative analysis of human and yeast phenotypically relevant mutations. vol. 14 Suppl 3 S5 BMC genomics

Modeling cell heterogeneity: from single-cell variations to mixed cells. 445-50 Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing

A mutation-centric approach to identifying pharmacogenomic relations in text. Journal of biomedical informatics

vol. 13 BMC Genomics

Validating Candidate Gene-Mutation Relations in MEDLINE Abstracts via Crowdsourcing. vol. 7348 83-91 8th International Conference, n Data Integration in the Life Sciences (DILS)

Incorporating molecular and functional context into the analysis and prioritization of human variants associated with cancer. vol. 19 275-283 Journal of the American Medical Informatics Association : JAMIA

Translating Mendelian and complex inheritance of Alzheimer's disease genes for predicting unique personal genome variants. vol. 19 306-316 Journal of the American Medical Informatics Association : JAMIA

Chapter 4: Protein interactions and disease. 12 vol. 8 e1002819 PLoS computational biology

Toward an automatic method for extracting cancer- and other disease-related point mutations from the biomedical literature. 3 vol. 27 408-15 Bioinformatics (Oxford, England)

DMDM: domain mapping of disease mutations. 19 vol. 26 2458-9 Bioinformatics (Oxford, England)

Threshold Average Precision (TAP-k): a measure of retrieval designed for bioinformatics. 14 vol. 26 1708-13 Bioinformatics (Oxford, England)

In silico functional profiling of human disease-associated and polymorphic amino acid substitutions. 3 vol. 31 335-46 Human mutation

Advances in translational bioinformatics: computational approaches for the hunting of disease genes. 1 vol. 11 96-110 Briefings in bioinformatics

Correlated evolution of interacting proteins: looking behind the mirrortree. 1 vol. 385 91-8 Journal of molecular biology

Gain and loss of phosphorylation sites in human cancer. 16 vol. 24 i241-7 Bioinformatics (Oxford, England)

MutDB: update on development of tools for the biochemical analysis of genetic variation. Database issue vol. 36 D815-9 Nucleic acids research

Protein interactions and disease: computational approaches to uncover the etiology of diseases. 5 vol. 8 333-46 Briefings in bioinformatics

Predicting protein domain interactions from coevolution of conserved regions. 4 vol. 67 811-20 Proteins

The identification of complete domains within protein sequences using accurate E-values for semi-global alignment. 14 vol. 35 4678-85 Nucleic acids research

Transcriptional interactions during smallpox infection and identification of early infection biomarkers. 100-11 Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing

Histone structure and nucleosome stability. 5 vol. 2 719-29 Expert review of proteomics

Predicting protein-protein interaction by searching evolutionary tree automorphism space. vol. 21 Suppl 1 i241-50 Bioinformatics (Oxford, England)

A structure-based method for protein sequence alignment. 8 vol. 21 1451-6 Bioinformatics (Oxford, England)

A new score function for the detection of remote homologs. 99-107 Mathematical Methods for Protein Structure Analysis and Design. Lectures Notes in Computer Science (ed. Springer-Verlag)

Performance evaluation of a new algorithm for the detection of remote homologs with sequence comparison. 2 vol. 48 367-76 Proteins

Optimizing for Success: A new score function for distantly related proteins. in Fourth annual international conference on computational molecular biology (RECOMB) 177-182


Indo-US Conference on Big data analysis and translation in Disease Biology Keynote/Plenary Address A protein domain approach to understanding diseases Jaipur National University New Dehli, January 2015