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Bioinformatics for Dentistry: A secondary database for the genetics of tooth development.
Chow, Ava K; Low, Rachel; Yuan, Jerald; Yee, Karen K; Dhaliwal, Jaskaranjit Kaur; Govia, Shanice; Sharmin, Nazlee.
Afiliación
  • Chow AK; School of Dentistry, College of Health Sciences, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Canada.
  • Low R; School of Dentistry, College of Health Sciences, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Canada.
  • Yuan J; School of Dentistry, College of Health Sciences, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Canada.
  • Yee KK; School of Dentistry, College of Health Sciences, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Canada.
  • Dhaliwal JK; School of Dentistry, College of Health Sciences, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Canada.
  • Govia S; School of Dentistry, College of Health Sciences, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Canada.
  • Sharmin N; School of Dentistry, College of Health Sciences, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Canada.
PLoS One ; 19(6): e0303628, 2024.
Article en En | MEDLINE | ID: mdl-38843230
ABSTRACT
Genes strictly regulate the development of teeth and their surrounding oral structures. Alteration of gene regulation leads to tooth disorders and developmental anomalies in tooth, oral, and facial regions. With the advancement of gene sequencing technology, genomic data is rapidly increasing. However, the large sets of genomic and proteomic data related to tooth development and dental disorders are currently dispersed in many primary databases and literature, making it difficult for users to navigate, extract, study, or analyze. We have curated the scattered genetic data on tooth development and created a knowledgebase called 'Bioinformatics for Dentistry' (https//dentalbioinformatics.com/). This database compiles genomic and proteomic data on human tooth development and developmental anomalies and organizes them according to their roles in different stages of tooth development. The database is built by systemically curating relevant data from the National Library of Medicine (NCBI) GenBank, OMIM Online Mendelian Inheritance in Man, AlphaFold Protein Structure Database, Reactome pathway knowledgebase, Wiki Pathways, and PubMed. The accuracy of the included data was verified from supporting primary literature. Upon data curation and validation, a simple, easy-to-navigate browser interface was created on WordPress version 6.3.2, with PHP version 8.0. The website is hosted in a cloud hosting service to provide fast and reliable data transfer rate. Plugins are used to ensure the browser's compatibility across different devices. Bioinformatics for Dentistry contains four embedded filters for complex and specific searches and free-text search options for quick and simple searching through the datasets. Bioinformatics for Dentistry is made freely available worldwide, with the hope that this knowledgebase will improve our understanding of the complex genetic regulation of tooth development and will open doors to research initiatives and discoveries. This database will be expanded in the future by incorporating resources and built-in sequence analysis tools, and it will be maintained and updated annually.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diente / Biología Computacional / Bases de Datos Genéticas Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2024 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diente / Biología Computacional / Bases de Datos Genéticas Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2024 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos