An interdisciplinary area called bioinformatics creates techniques and software tools for comprehending biological data, especially when the data sets are big and complicated. To analyse and interpret the biological data, the interdisciplinary discipline of research known as bioinformatics brings together biology, chemistry, physics, computer science, information engineering, mathematics, and statistics. Biological inquiries have been analysed in silico utilising computational and statistical methods and bioinformatics. Both biological investigations that incorporate computer programming into their technique and specialised analysis "pipelines," particularly in the field of genomics, are included in bioinformatics. Single nucleotide polymorphisms and candidate genes are two frequent applications of bioinformatics

  • Track 1-1 DNA sequence analysis
  • Track 2-2 Comparative genomics and annotations
  • Track 3-3 Analysis of gene and protein expressions
  • Track 4-4 Structural bioinformatics
  • Track 5-5 Computational Biology and modelling
  • Track 6-6 Gene prediction
  • Track 7-7 Molecular docking

Related Conference of Biotechnology