Interested in learning #RStats #tidyverse w/ a genomic dataset? Dr. Janani Ravi, Senior Research Associate, Pathobiology and Diagnostic Investigation, Michigan State University https://jananiravi.github.io/ will be organizing a half day R/tidyverse workshop. Co-hosting w/ Dr. Arjun Krishnan, Group Leader , Dept. Computational Mathematics, Science and Engineering, Dept. Biochemistry and Molecular Biology, Michigan State University https://www.thekrishnanlab.org/, and RLadiesChennai https://twitter.com/RLadiesChennai. Join our workshop on March 05 ‘19, 2–5pm at RBC-DSAI Seminar hall, Biotech Dept.
IBSE, IIT Madras is going to collaborate on applying advanced analytical approaches for predicting pregnancy outcomes with Translational Health Science and Technology Institute (THSTI) in Faridabad, Haryana. A Research Collaboration Agreement between the two Institutes was signed on February 22, 2019 during the IITM-THSTI Conclave on ‘Transforming Maternal and Child Healthcare Using Data Science.’ The broad objectives of this Collaboration include: Ø Bringing physician-scientists, biologists, engineers and data scientists together to solve public health problems related to maternal and child health,
The Third Colloquium of the IBSE will be held on 14th February 2019. Prof. Michael Knop, Group leader at the Zentrum für Molekulare Biologie der Universität Heidelberg (ZMBH) and German Cancer Research Institute (DKFZ) Heidelberg, Germany has kindly agreed to be our guest speaker. His laboratory develops software and advanced microscopy methods in biology, and methods for genome engineering in model organisms. He also investigates processes that regulate cellular morphogenesis, cell signalling and protein homeostasis.
IBSE is very pleased to introduce you all to our guest speaker Dr. Kavita Jain. Abstract of her talk: In an influential essay, evolutionary biologist Theo Dobzhansky stated that “nothing in biology makes sense except in the light of evolution”. Indeed, evolution shapes diversity at all levels of biological organization, ranging from cells to species. Population genetics and quantitative genetics have been used for over a century to describe biological evolution at genetic and phenotypic level, respectively.
IBSE In-house workshop to be held on 15 November 2018 from 2.30 pm to 5.45 pm .
1430 - 1500 | A network perspective on chemical spaces for drug discovery and toxicology | Dr. Areejit Samal, The Institute of Mathematical Sciences, Chennai |
1500 - 1515 | Co-expression of genes in different tissues: tissue-tissue communication or developmental lineage effects? | Arjun Sarathi, IBSE |
1515 - 1530 | Deciphering metabolism of Bifidobacteria using constraint-based genome scale models | Dr. N.T.Devika, IBSE |
1530 - 1545 | Clustering in hypergraphs: A modularity maximization approach | Tarun Kumar, RBCDSAI |
1545 - 1615 | Coffee break | |
1615 - 1630 | How does functional redundancy evolve in metabolic networks? | Gayathri S, IBSE |
1630 - 1645 | A priori Parameter Identifiability for Biochemical Reaction Networks with Mass Action Kinetics | Ragini Sreenath, IBSE |
1645 - 1700 | Neighbourhood bases of driver and passenger mutations differ significantly across cancers | Shayantan Banerjee, IBSE |
1700 - 1715 | A Comprehensive toolkit for RNA-Seq data analysis | Priyanka Maripuri, IBSE |
1715 - 1730 | A graph-theoretic approach to understand metabolic interactions in microbial communities | Aarthi Ravikrishnan, IBSE |
1730 - 1745 | Model Selection Using Approximate Bayesian Computing | Abhijeet Mavi, IBSE |
by Aarthi Ravikrishnan and Karthik Raman Systems-Level Modelling of Microbial Communities: Theory and Practice introduces various aspects of modelling microbial communities and presents a detailed overview of the computational methods which have been developed in this area. This book is aimed at researchers in the field of computational/systems biology as well as biologists/experimentalists studying microbial communities, who are keen on embracing the concepts of computational modelling. The primary focus of this book is on methods for modelling interactions between micro-organisms in a community, with special emphasis on constraint-based and network-based modelling techniques.
IBSE is very pleased to introduce you all to our guest speaker Mr. Srikiran Chandrasekaran. The title of his presentation will be: “Bayesian optimization for fitting dynamical systems in environmental engineering”. Srikiran Chandrasekaran graduated from IIT Madras with a B. Tech in Biotechnology in 2015. Currently, He is a PhD candidate in the Mathematical, Computational and Systems Biology programme at the University of California, Irvine in the lab of Prof. Sunny Jiang.
Our new IBSE space A brand new lab space for IBSE was opened on August 17th, 2018 in Block II of Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras alongside the Robert Bosch Center for Data Science and Artificial Intelligence (RBCDSAI). The lab accommodates several researchers and visiting faculty. Each workstation in the lab is provided with high end personal computers that have fast connectivity to clusters and internet.