Academic Title:
Professor
Primary Appointment:
Epidemiology & Public Health
Additional Title:
Institute for Genome Sciences
Location:
Health Sciences Facility III, 670 West Baltimore St, Baltimore 21201
Phone (Primary):
(410) 706-6776
Education and Training
- Bachelor of Arts, 1989, Wells College, Major: Biology
- Doctorate of Philosophy, 1997, University of Ottawa, Department of Biology
- IRTA/CRTA Postdoctoral Fellowship, 1996-1999, National Cancer Institute, Frederick Cancer Research and Development Center, Laboratory of Genomic Diversity, Frederick, Maryland
Biosketch
Dr. Lynn M. Schriml is a Professor at the University of Maryland, School of Medicine in the Department of Epidemiology and Public Health and at the Institute of Genome Science (IGS) in Baltimore, Maryland.
Dr. Schriml is a member of the Population Science Program within the University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center (UMGCC) Program in Oncology. Dr. Schriml’s research centers on developing and implementing ontological tools aimed at classifying and unifying cancer nomenclature and term usage.
Dr. Schriml leads a number of ontology and metadata standard development and implementation projects. As PI of the Disease Ontology project, established in 2003. Dr. Schriml leads ontology community-based curation, expansion and utilization efforts. The Human Disease Ontology, a designated Global Core Biodata Resource, is utilized broadly across biomedical databases and resources for knowledge and data sharing facilitating standardized annotation of biomedical data. Dr. Schriml’s group is currently focused on the classification and annotation of rare diseases and cancer, actively engaged with the Model Organism Databases to standardize human diseases associated with animal models.
As President of the Genomic Standards Consortium, Dr. Schriml leads an international team of genomic science leaders, to identify, build and implement novel metadata standards, thus providing a venue for standardized contextual descriptions of genomes, metagenomes and microbiome sequences and studies.
Following Dr. Schriml’s postdoctoral research at the National Cancer Institute - Frederick Cancer Research and Development Center conducting population studies and characterizing mouse ABC-transporters, Dr. Schriml transitioned to bioinformatics. Dr. Schriml developed bioinformatics tools for model organism genome projects at the National Center for Biotechnology Information (NCBI) at NIH as a Staff Scientist prior to joining the Institute for Genome Research (TIGR) in 2005 to develop the microbial surveillance Gemina project.
Research/Clinical Keywords
Human Disease Knowledge Representation, Biomedical Ontologies, Genomic Metadata Standards, Epidemiology, Bioinformatics, Data Mining, Big Data, Microbiome, Microbiome, Knowledgebase
Highlighted Publications
Dr. Schriml's full list of publications, at MyNCBI
- COVID-19 biomarkers and their overlap with comorbidities in a disease biomarker data model. Brief Bioinform. 2021 May 20; doi: 10.1093/bib/bbab191.
- MetaSUB International Consortium. [Lynn Schriml] The Metagenomics and Metadesign of the Subways and Urban Biomes (MetaSUB) International Consortium inaugural meeting report. Microbiome. 2016 Jun 3;4(1):24. doi: 10.1186/s40168-016-0168-z.
Additional Publication Citations
A standards perspective on genomic data reusability and reproducibility. Front Bioinform.2025;5:1572937. doi: 10.3389/fbinf.2025.1572937. eCollection 2025. PubMed PMID: 40130011; PubMed Central PMCID: PMC11931119.
The DO-KB Knowledgebase: a 20-year journey developing the disease open science ecosystem. Nucleic Acids Res. 2024 Jan 5;52(D1):D1305-D1314. doi: 10.1093/nar/gkad1051. PubMed PMID: 37953304; PubMed Central PMCID: PMC10767934.
A Practical Approach to Using the Genomic Standards Consortium MIxS Reporting Standard for Comparative Genomics and Metagenomics. Methods Mol Biol. 2024;2802:587-609. doi: 10.1007/978-1-0716-3838-5_20. PubMed PMID: 38819573.
Modeling the enigma of complex disease etiology. J Transl Med. 2023 Feb 25;21(1):148. doi: 10.1186/s12967-023-03987-x. PubMed PMID: 36829165; PubMed Central PMCID: PMC9957692.
Yilmaz P et al. (2011) Minimum information about a marker gene sequence (MIMARKS) and minimum information about any (x) sequence (MIxS) specifications. Nat Biotechnol. 29:415-420.
Complete List of Published Work in PubMed
Research Interests
Dr. Schriml's research interests include human disease, infectious diseases, ontologies, metadata standards, epidemiology, bioinformatics, data mining, statistics and microbiome.
Dr. Schriml's areas of focus include:
- Biomedical ontologies: development and utilization for exploring BigData and cancer.
- Genome metadata standards development and implementation
- Microbial community diversity and metadata in the built environment
- MetaSUB: characterizing transit system metagenomes and microbiomes
- Health Disparities among individuals with Intellectual Disabilities
Awards and Affiliations
-
University of Maryland School of Medicine, Department of Epidemiology
and Public Health, Medical School Teaching Award, 2015
- President, Genomic Standards Consortium, 2015-present