Results 111 to 120 of about 14,255 (146)
OMIM: Online Mendelian Inheritance in Man
Alan F. Scott+3 more
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Obi L. Griffith, Malachi Griffith
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Using Online Mendelian Inheritance in Man in low‐ and middle‐income countries
American Journal of Medical Genetics. Part A, 2021Online Mendelian Inheritance in Man (OMIM®), an online catalog of human genes and genetic disorders, has been used in the low‐ and middle‐income countries largely as a tool for improving clinical care, teaching genetics and genomics, and for clinical and
N. L. de Macena Sobreira+3 more
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Exploring Genes and Phenotypes Within Chromosomal Regions Using OMIM's GeneScout
Current Protocols, 2022Structural variation in genomes, such as copy number variants (CNVs), is under scrutiny for its contribution to phenotypic expression and evolution. Regions of homozygosity (ROH) are ripe for phenotype‐gene discovery.
Carolyn D. Applegate+3 more
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The genes of OMIM: A legacy of Victor McKusick
American Journal of Medical Genetics. Part A, 2021Victor McKusick is largely remembered as a clinician and cataloger of inherited disorders; however, those of us who worked with him know that he was perhaps most proud of this role in the effort to map the human genome.
A. F. Scott, J. Amberger
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Web-Based Genetics Resources for Clinicians, Researchers, Students, and Patients
Journal of Electronic Resources in Medical Libraries, 2006Information on human genes and genetic disorders is of interest to clinicians, researchers, students, and patients. Two open-access Web-based resources, Online Mendelian Inheritance in Man (OMIM") and GeneTests™, provide authoritative up-to-date information, and should be considered as core electronic resources in virtually every medical library.
Michele R. Tennant, Jennifer A. Lyon
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MIM-CD, Mendelian Inheritance in Man, Version 3.1
, 1995MIM-CD is the CD-ROM companion to the print and on-line versions ofMendelian Inheritance in Man (MIM), Victor McKusick's encyclopedia of medical genetics. The CD is based on theMIMdatabase.
G. F. Pratt
semanticscholar +1 more source
Disease Gene Prediction by Integrating PPI Networks, Clinical RNA-Seq Data and OMIM Data
IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2019Disease gene prediction is a challenging task that has a variety of applications such as early diagnosis and drug development. The existing machine learning methods suffer from the imbalanced sample issue because the number of known disease genes ...
Ping Luo+3 more
semanticscholar +1 more source