Your browser doesn't support javascript.
loading
100 Years of evolving gene-disease complexities and scientific debutants.
Zeeshan, Saman; Xiong, Ruoyun; Liang, Bruce T; Ahmed, Zeeshan.
Afiliação
  • Zeeshan S; The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, USA.
  • Xiong R; Department of Genetics and Genome Sciences, School of Medicine, University of Connecticut Health Center, Farmington Ave, Farmington, CT, USA.
  • Liang BT; Department of Genetics and Genome Sciences, School of Medicine, University of Connecticut Health Center, Farmington Ave, Farmington, CT, USA.
  • Ahmed Z; Pat and Jim Calhoun Cardiology Center, School of Medicine, University of Connecticut Health Center, Farmington Ave, Farmington, CT, USA.
Brief Bioinform ; 21(3): 885-905, 2020 05 21.
Article em En | MEDLINE | ID: mdl-30972412
ABSTRACT
It's been over 100 years since the word `gene' is around and progressively evolving in several scientific directions. Time-to-time technological advancements have heavily revolutionized the field of genomics, especially when it's about, e.g. triple code development, gene number proposition, genetic mapping, data banks, gene-disease maps, catalogs of human genes and genetic disorders, CRISPR/Cas9, big data and next generation sequencing, etc. In this manuscript, we present the progress of genomics from pea plant genetics to the human genome project and highlight the molecular, technical and computational developments. Studying genome and epigenome led to the fundamentals of development and progression of human diseases, which includes chromosomal, monogenic, multifactorial and mitochondrial diseases. World Health Organization has classified, standardized and maintained all human diseases, when many academic and commercial online systems are sharing information about genes and linking to associated diseases. To efficiently fathom the wealth of this biological data, there is a crucial need to generate appropriate gene annotation repositories and resources. Our focus has been how many gene-disease databases are available worldwide and which sources are authentic, timely updated and recommended for research and clinical purposes. In this manuscript, we have discussed and compared 43 such databases and bioinformatics applications, which enable users to connect, explore and, if possible, download gene-disease data.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Predisposição Genética para Doença / Doenças Genéticas Inatas Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Predisposição Genética para Doença / Doenças Genéticas Inatas Idioma: En Ano de publicação: 2020 Tipo de documento: Article