@article{96532,
  author = {Paritala V and Reddy R and Kalva S},
  title = {Neglected Disdb: A Broad Internet Framework for Gathering And Analysing Data From Neglected Diseases},
  abstract = {<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>
},
  year = {2022},
  journal = {Journal of Applied Bioinformatics & Computational Biology},
  url = {https://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/6201ccfb7047cd22c354},
  language = {eng},
}