01488nas a2200133   4500000000100000000000100001008004100002100001500043700001200058700001200070245010500082856026000187520090700447       2022                            d1 aParitala V1 aReddy R1 aKalva S00aNeglected Disdb: A Broad Internet Framework for Gathering And Analysing Data From Neglected Diseases  uhttps://www.researchgate.net/profile/Venu-Paritala/publication/358421814_Journal_of_Applied_Bioinformatics_Computational_Biology_Neglected_Disdb_A_Broad_Internet_Framework_for_Gathering_And_Analysing_Data_From_Neglected_Diseases/links/6201ccfb7047cd22c3543 a<p>Biological databases, which offer access to a wide range of biologically related data, play a vital role in the life sciences. This paper suggests a community-defined, uniform, generic definition of the biological database’s core quality. This paper is mostly intended for computer scientists with only a basic knowledge of biology. Scientific literature is being replaced by libraries, Understand the details crowded in statistics and text as a way of disseminating this information to the public neglected disease database (https:// venuparitala.shinyapps.io/Neglated-diseasedb/). The NEGLECTED DISDB is a biological archive that includes disease knowledge for about 20 neglected diseases, as well as genes, targets, and gene network analysis. This database is open to the public, free, and open-source. it was developed with r programming language in r studio by using different packages.</p>