8th DBT-BIF National Workshop on Translational Bioinformatics: Bench-to-Bedside, Department of Computer Science, April 9-10, 2018
All knowledge is for the welfare of Human beings and human beings are the supreme creatures of GOD/Nature. Reasons being, they are bestowed with the ability to think, create and recreate, invent and innovate, which ultimately are meant for enhancement of human welfare through Quality of Life (QoL). Education and Health are the two important parameters to determine the quality of life, and even, well being of Nations. Therefore, every knowledge and innovation - the outcomes of every research, have to be for the welfare and development of Human being through Quality of Life (QoL).
Biosciences and Biology in isolation without computational, A.I. techniques have not provided the effective results so far, and cannot provide even in future. The computational techniques when operated through formulations and frameworks on biological content delivers a new discipline called “Bioinformatics”. “Translational Bioinformatics” has gone a step further where it talks about utilization of Basic Research (Bench) for Clinical Purpose (Bed of a Patient/Hospital), which is known as “Bench–to-Bed”.
The primary goal of Translational Bioinformatics is to apply and use efficiently molecular information of Biological product (content) using Computational/Artificial Intelligence/Laboratory techniques including Next Generation Sequence analysis to share with clinician for clinical solutions. Basic scientists have to provide clinicians with new treatment strategies based on laboratory data, vice-versa, to improve further using feedbacks of clinicians. This process “Bench to Bed” is yet to take a vibrant role all over the globe, which is the future objective of Translational Bioinformatics (TB). In future, TB is expected to reveal solutions, for treatment of rare deceases including Cancer etc., on the basis of A.I techniques and GEN Next Analysis.
The workshop Lectures, Invited Talk, Hands-on sessions, and Invited Papers will include the following, but not limited to:
· Artificial intelligence based methods to address complex biological data classification problems;
· Computer aided drug designing: including molecular modelling, molecular dynamics, homology modelling, virtual screening and cheminformatics for lead identification;
· Application to identify novel drug targets and gene expression regulatory elements like miRNAs and transcription factors;
· Applications for Systems Biology for translational bioinformatics;
· Computational / statistical analysis of NGS (Next Generation Sequence) data;
· Algorithm Development using biological databases.