Warren A. Kibbe

ORCID: 0000-0001-5622-7659
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About
Contact & Profiles
Research Areas
  • Bioinformatics and Genomic Networks
  • Biomedical Text Mining and Ontologies
  • Gene expression and cancer classification
  • SARS-CoV-2 detection and testing
  • Cancer Genomics and Diagnostics
  • Genetics, Bioinformatics, and Biomedical Research
  • Genomics and Phylogenetic Studies
  • COVID-19 Clinical Research Studies
  • Epigenetics and DNA Methylation
  • Genomics and Rare Diseases
  • COVID-19 and healthcare impacts
  • SARS-CoV-2 and COVID-19 Research
  • Respiratory viral infections research
  • Long-Term Effects of COVID-19
  • Ethics in Clinical Research
  • Health, Environment, Cognitive Aging
  • Non-Invasive Vital Sign Monitoring
  • RNA modifications and cancer
  • Childhood Cancer Survivors' Quality of Life
  • Genomics and Chromatin Dynamics
  • Nutrition, Genetics, and Disease
  • AI in cancer detection
  • COVID-19 Impact on Reproduction
  • Optical Imaging and Spectroscopy Techniques
  • Semantic Web and Ontologies

Duke University
2017-2025

Duke Cancer Institute
2020-2024

Clinical Research Institute
2022-2023

Duke Medical Center
2020-2022

Hispanic Health Council
2022

Puma Biotechnology (United States)
2021

Sanofi (Mexico)
2021

Novartis (Switzerland)
2021

Pfizer (United Kingdom)
2021

Immunomedics (Germany)
2021

The Gene Ontology (GO) project (http://www. geneontology.org/) provides structured, controlled vocabularies and classifications that cover several domains of molecular cellular biology are freely available for community use in the annotation genes, gene products sequences. Many model organism databases genome groups GO contribute their sets to resource. database integrates contributed annotations full access this information formats. Members Consortium continually work collectively,...

10.1093/nar/gkh036 article EN public-domain Nucleic Acids Research 2003-12-17

Illumina microarray is becoming a popular platform. The BeadArray technology from makes its preprocessing and quality control different other technologies. Unfortunately, most analyses have not taken advantage of the unique properties system, just incorporated methods originally designed for Affymetrix microarrays. lumi Bioconductor package especially to process data. It includes data input, control, variance stabilization, normalization gene annotation portions. In specific,...

10.1093/bioinformatics/btn224 article EN Bioinformatics 2008-05-08

High-throughput profiling of DNA methylation status CpG islands is crucial to understand the epigenetic regulation genes. The microarray-based Infinium assay by Illumina one platform for low-cost high-throughput profiling. Both Beta-value and M-value statistics have been used as metrics measure levels. However, there are no detailed studies their relations strengths limitations. We demonstrate that relationship between methods a Logit transformation, show method has severe heteroscedasticity...

10.1186/1471-2105-11-587 article EN cc-by BMC Bioinformatics 2010-11-30

The Genomic Data Commons will initially house raw genomic data and diagnostic, histologic, clinical outcome from National Cancer Institute–funded projects. A harmonization process align sequencing to the genome identify mutations alterations.

10.1056/nejmp1607591 article EN New England Journal of Medicine 2016-09-21

We developed OligoCalc as a web-accessible, client-based computational engine for reporting DNA and RNA single-stranded double-stranded properties, including molecular weight, solution concentration, melting temperature, estimated absorbance coefficients, inter-molecular self-complementarity estimation intra-molecular hairpin loop formation. has familiar 'calculator' look feel, making it readily understandable usable. incorporates three common methods calculating oligonucleotide-melting...

10.1093/nar/gkm234 article EN cc-by-nc Nucleic Acids Research 2007-04-24

The Disease Ontology (DO) database (http://disease-ontology.org) represents a comprehensive knowledge base of 8043 inherited, developmental and acquired human diseases (DO version 3, revision 2510). DO web browser has been designed for speed, efficiency robustness through the use graph database. Full-text contextual searching functionality using Lucene allows querying name, synonym, definition, DOID cross-reference (xrefs) with complex Boolean search strings. semantically integrates disease...

10.1093/nar/gkr972 article EN Nucleic Acids Research 2011-11-12

A major problem for current peak detection algorithms is that noise in mass spectrometry (MS) spectra gives rise to a high rate of false positives. The positive especially problematic detecting peaks with low amplitudes. Usually, various baseline correction and smoothing methods are applied before attempting detection. This approach very sensitive the amount aggressiveness correction, which contribute making results inconsistent between runs, instrumentation analysis methods.Most simply...

10.1093/bioinformatics/btl355 article EN Bioinformatics 2006-07-04

The current version of the Human Disease Ontology (DO) (http://www.disease-ontology.org) database expands utility ontology for examination and comparison genetic variation, phenotype, protein, drug epitope data through lens human disease. DO is a biomedical resource standardized common rare disease concepts with stable identifiers organized by etiology. content has had 192 revisions since 2012, including addition 760 terms. Thirty-two percent all terms now include definitions. expanded...

10.1093/nar/gku1011 article EN cc-by Nucleic Acids Research 2014-10-27

The Gene Ontology (GO) Consortium (GOC, http://www.geneontology.org) is a community-based bioinformatics resource that classifies gene product function through the use of structured, controlled vocabularies. Over past year, GOC has implemented several processes to increase quantity, quality and specificity GO annotations. First, number manual, literature-based annotations grown at an increasing rate. Second, as result new 'phylogenetic annotation' process, manually reviewed, homology-based...

10.1093/nar/gks1050 article EN cc-by-nc Nucleic Acids Research 2012-11-17

Variance stabilization is a step in the preprocessing of microarray data that can greatly benefit performance subsequent statistical modeling and inference. Due to often limited number technical replicates for Affymetrix cDNA arrays, achieving variance be difficult. Although Illumina platform provides larger on each array (usually over 30 randomly distributed beads per probe), these have not been leveraged current log2 transformation process. We devised variance-stabilizing (VST) method...

10.1093/nar/gkm1075 article EN cc-by-nc Nucleic Acids Research 2008-01-04

As wearable technologies are being increasingly used for clinical research and healthcare, it is critical to understand their accuracy determine how measurement errors may affect conclusions impact healthcare decision-making. Accuracy of has been a hotly debated topic in both the popular science literature. Currently, technology companies responsible assessing reporting products, but little information about evaluation method made publicly available. Heart rate measurements from wearables...

10.1038/s41746-020-0226-6 article EN cc-by npj Digital Medicine 2020-02-10

Coronavirus disease 2019 (COVID-19) poses societal challenges that require expeditious data and knowledge sharing. Though organizational clinical are abundant, these largely inaccessible to outside researchers. Statistical, machine learning, causal analyses most successful with large-scale beyond what is available in any given organization. Here, we introduce the National COVID Cohort Collaborative (N3C), an open science community focused on analyzing patient-level from many centers.The...

10.1093/jamia/ocaa196 article EN cc-by-nc Journal of the American Medical Informatics Association 2020-08-14

The human genome has been extensively annotated with Gene Ontology for biological functions, but minimally computationally diseases.We used the Unified Medical Language System (UMLS) MetaMap Transfer tool (MMTx) to discover gene-disease relationships from GeneRIF database. We utilized a comprehensive subset of UMLS, which is disease-focused and structured as directed acyclic graph (the Disease Ontology), filter interpret results MMTx. were validated against Homayouni gene collection using...

10.1186/1471-2164-10-s1-s6 article EN cc-by BMC Genomics 2009-07-01

The Human Phenotype Ontology (HPO) is widely used in the rare disease community for differential diagnostics, phenotype-driven analysis of next-generation sequence-variation data, and translational research, but a comparable resource has not been available common disease. Here, we have developed concept-recognition procedure that analyzes frequencies HPO annotations as identified over five million PubMed abstracts by employing an iterative to optimize precision recall terms. We derived...

10.1016/j.ajhg.2015.05.020 article EN cc-by The American Journal of Human Genetics 2015-06-25

Abstract Background The proportion of tumors various histologies that may respond to drugs targeted molecular alterations is unknown. NCI-MATCH, a collaboration between ECOG-ACRIN Cancer Research Group and the National Institute, was initiated find efficacy signals by matching patients with refractory malignancies treatment potential tumor drivers regardless cancer histology. Methods Trial development required assumptions about target prevalence, accrual rates, eligibility, enrollment rates...

10.1093/jnci/djz245 article EN cc-by-nc-nd JNCI Journal of the National Cancer Institute 2020-01-06

Biological measures of aging are important for understanding the health an population, with epigenetics particularly promising. Previous studies found that tumor tissue is epigenetically older than its donors chronologically. We examined whether blood Δage (the discrepancy between epigenetic and chronological ages) can predict cancer incidence or mortality, thus assessing potential as a biomarker. In prospective cohort, rate change over time were calculated in 834 leukocyte samples collected...

10.1016/j.ebiom.2016.02.008 article EN cc-by-nc-nd EBioMedicine 2016-02-08
Judith A. Blake M. Eileen Dolan Harold Drabkin David P. Hill L. Ni and 95 more Д. С. Ситников Shane C. Burgess Teresia Buza Charles A. Gresham Fiona M. McCarthy Lakshmi Pillai Hui Wang Seth Carbon Suzanna Lewis Chris Mungall Pascale Gaudet Rex L. Chisholm Petra Fey Warren A. Kibbe Siddhartha Basu Deborah A. Siegele Brenley K. McIntosh Daniel P. Renfro Adrienne E. Zweifel James C. Hu Nicholas H. Brown Susan Tweedie Yasmin Alam-Faruque Rolf Apweiler A Auchinchloss Kristian B. Axelsen Ghislaine Argoud‐Puy Benoît Bely Marie-Claude Blatter Lydie Bougueleret Emmanuel Boutet S. Branconi-Quintaje Lionel Breuza Alan Bridge P. Browne Paul K.S. Chan Elisabeth Coudert Isabelle Cusin Emily Dimmer P. Duek-Roggli Ruth Y. Eberhardt Anne Estreicher L. Famiglietti S. Ferro-Rojas Marc Feuermann M. Gardner Arnaud Gos Nadine Gruaz-Gumowski Ursula Hinz Chantal Hulo Rachael P. Huntley Joachim James Silvia Jiménez Florence Jungo G. Keller Kati Laiho David Legge Philippe Le Mercier Damien Lieberherr Michele Magrane María Martín Patrick Masson M. Moinat Claire O’Donovan Ivo Pedruzzi Klemens Pichler Daniele Giovanni Poggioli Pablo Porras Sylvain Poux Catherine Rivoire Bernd Roechert Tony Sawford Michel Schneider Harminder Sehra Eleanor Stanley André Stutz Suresh Sundaram Michael Tognolli Ioannis Xénarios Rebecca E. Foulger Jane Lomax Paola Roncaglia Evelyn Camon Varsha Khodiyar Ruth C. Lovering Philippa J. Talmud Marcus C. Chibucos Michelle Giglio Kara Dolinski Sven Heinicke Michael Livstone Robert Paul Stephan Midori A. Harris Stephen G. Oliver Kim Rutherford

The Gene Ontology (GO) (http://www.geneontology.org) is a community bioinformatics resource that represents gene product function through the use of structured, controlled vocabularies. number GO annotations products has increased due to curation efforts among Consortium (GOC) groups, including focused literature-based annotation and ortholog-based functional inference. ontologies continue expand improve as result targeted ontology development, introduction computable logical definitions...

10.1093/nar/gkr1028 article EN cc-by-nc Nucleic Acids Research 2011-11-18

DNA methylation in repetitive elements (RE) suppresses their mobility and maintains genomic stability, decreases it are frequently observed tumor and/or surrogate tissues. Averaging across RE genome is widely used to quantify global methylation. However, may vary specific play diverse roles disease development, thus averaging lose significant biological information. The ambiguous mapping of short reads by high cost current bisulfite sequencing platforms make them impractical for quantifying...

10.1093/nar/gkx587 article EN cc-by-nc Nucleic Acids Research 2017-06-28

Prior observational studies suggest that aspirin use may be associated with reduced mortality in high-risk hospitalized patients COVID-19, but aspirin's efficacy moderate COVID-19 is not well studied.To assess whether early lower odds of in-hospital COVID-19.Observational cohort study 112 269 enrolled from January 1, 2020, through September 10, 2021, at 64 health systems the United States participating National Institute Health's COVID Cohort Collaborative (N3C).Aspirin within first day...

10.1001/jamanetworkopen.2022.3890 article EN cc-by-nc-nd JAMA Network Open 2022-03-24

Data-driven basic, translational, and clinical research has resulted in improved outcomes for children, adolescents, young adults (AYAs) with pediatric cancers. However, challenges sharing data between institutions, particularly research, prevent addressing substantial unmet needs children AYA patients diagnosed certain Systematically collecting from every child can enable greater understanding of cancers, improve survivorship, accelerate development new more effective therapies. To...

10.1200/jco.22.02208 article EN cc-by Journal of Clinical Oncology 2023-06-02

Abstract Subjective methods have been reported to adapt a general-purpose ontology for specific application. For example, Gene Ontology (GO) Slim was created from GO generate highly aggregated report of the human-genome annotation. We propose statistical general purpose, OBO Foundry Disease (DO) identification gene-disease associations. Thus, we need simplified definition disease categories derived implicated genes. On basis assumption that DO terms having similar associated genes are...

10.1093/bioinformatics/btp193 article EN cc-by-nc Bioinformatics 2009-05-27
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