Monthly Coverage Dossier April 2020
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Monthly Coverage Dossier April 2020 IIT Madras is a research focused institute Date: 7th April 2020 Publication: The Economic Times Edition: Bangalore Page No: 5 Journalist: NA Headline: IIT-M Develops Algorithms Date: 7th April 2020 Publication: The Times of India Edition: Chennai Page No: 4 Journalist: NA Headline: IIT-M team develops fresh algorithm to study genes diseases Date: 7th April 2020 Publication: Business Standard Edition: Online Journalist: NA Professor: Prof. B. Ravindran, Dr. Karthik Raman and Dr. Himanshu Sinha Headline: IIT-M develops algorithms to detect diseases causing dysfunctional proteins and genes URL: https://www.business-standard.com/article/pti-stories/iit-m-develops-algorithms- to-detect-diseases-causing-dysfunctional-proteins-and-genes-120040601029_1.html IIT Madras researchers have developed algorithms to detect disease causing dysfunctional proteins and genes in biological networks. Through their initiative, they hope to develop detailed maps of tissue and disease specific networks that can help in better understanding of the connections among genes and proteins, a press release said on Monday. The faculty are working with researchers across the world to develop computational algorithms which not only detects gene groups causing diseases, but also the links between diseases and gene groups. The team has comprehensively analysed existing module identification algorithms and developed an improved system to achieve 50 per cent improvement in identifying disease- relevant modules over existing approaches. The research was led by professor B Ravindran, Head of Robert Bosch Centre for Data Science and Aritificial Intelligence, IIT Madras and faculty members Karthik Raman and Himanshu Sinha. "All biological processes are a result of complex interactions among genes and proteins and diseases are often caused by perturbations in them", Ravindran said. "Genes are seldom isolated and occur as connected groups called disease modules. The ability to identify and automatically extract these modules can help in understanding the root causes of several diseases", he added. The recent work by the team at IIT Madras was part of the DREAM challenge, an open science approach involving researchers from industry, academia and non-profit organisations across the world, the release said. Date: 7th April 2020 Publication: The Times of India - Education Times Edition: Online Journalist: NA Professor: Prof. B. Ravindran, Dr. Karthik Raman and Dr. Himanshu Sinha Headline: IIT Madras researchers develop algorithms to identify genetic and protein links between similar diseases URL: https://educationtimes.com/article/newsroom/75007684/iit-madras- researchers-develop-algorithms-to-identify-genetic-and-protein-links-between- similar-diseases.html The Indian Institute of Technology (IIT), Madras has developed computational algorithms to link diseases to underlying genes. The algorithms not only detect gene groups that cause diseases but also the links between various related diseases and gene groups. The team comprehensively analysed existing module identification algorithms and developed an improved system that achieved performance improvement in identifying disease-relevant modules over existing approaches. The team consists of B Ravindran, head, Robert Bosch Centre for Data Science and Artificial Intelligence, (RBC DSAI), IIT Madras, Karthik Raman and Himanshu Sinha, faculty members, RBC DSAI. They hope to develop detailed maps of disease-specific networks that can help in better understanding of the connections among genes, proteins and diseases, and thus contribute towards the field of disease network biology. Elaborating on the fundamentals of this research, Ravindran said, “All biological processes are a result of complex interactions among genes, proteins and diseases are often caused by perturbations in them. Genes are seldom isolated and occur as connected groups called disease modules. The ability to identify and automatically extract these modules can help in understanding the root causes of several diseases and the functional roles of different protein/genetic modules in disease.” Using the ‘overlapping’ community detection algorithms, the team has shown the overlaps in disease modules in related diseases. “We know from real life that diabetes, cardiovascular problems and cholesterol issues are interrelated; our algorithm simply captures the link,” added Ravindran. The research work was conducted as part of the DREAM Challenge, an open science approach involving researchers from industry, academia and non-profit organisations across the world. The results have recently been published in Frontiers in Genetics and have been included in a compendium paper that has been published by the DREAM Challenge Consortium in the peer-review journal Nature Methods. Date: 7th April 2020 Publication: NDTV Edition: Online Journalist: Anisha Kumari Professor: Prof. B. Ravindran, Dr. Karthik Raman and Dr. Himanshu Sinha Visiting Professor: Prof Srinivasan Parthasarathy Student: Ms. Beethika Tripathi Headline: IIT Madras Researchers Develop Algorithms To Detect Disease-Causing Dysfunctional Proteins, Genes URL: https://www.ndtv.com/education/iit-madras-researchers-develop-algorithms- to-detect-disease-causing-dysfunctional-proteins-genes-2206982 The Indian Institute of Technology (IIT), Madras has developed computational algorithms to link diseases to underlying genes. The algorithms not only detect gene groups that cause diseases but also the links between various related diseases and gene groups. The team comprehensively analysed existing module identification algorithms and developed an improved system that achieved performance improvement in identifying disease-relevant modules over existing approaches. The team consists of B Ravindran, head, Robert Bosch Centre for Data Science and Artificial Intelligence, (RBC DSAI), IIT Madras, Karthik Raman and Himanshu Sinha, faculty members, RBC DSAI. They hope to develop detailed maps of disease-specific networks that can help in better understanding of the connections among genes, proteins and diseases, and thus contribute towards the field of disease network biology. Elaborating on the fundamentals of this research, Ravindran said, “All biological processes are a result of complex interactions among genes, proteins and diseases are often caused by perturbations in them. Genes are seldom isolated and occur as connected groups called disease modules. The ability to identify and automatically extract these modules can help in understanding the root causes of several diseases and the functional roles of different protein/genetic modules in disease.” Using the ‘overlapping’ community detection algorithms, the team has shown the overlaps in disease modules in related diseases. “We know from real life that diabetes, cardiovascular problems and cholesterol issues are interrelated; our algorithm simply captures the link,” added Ravindran. The research work was conducted as part of the DREAM Challenge, an open science approach involving researchers from industry, academia and non-profit organisations across the world. The results have recently been published in Frontiers in Genetics and have been included in a compendium paper that has been published by the DREAM Challenge Consortium in the peer-review journal Nature Methods. Date: 7th April 2020 Publication: The New Indian Express - EDEX Edition: Online Journalist: NA Professor: Prof. B. Ravindran, Dr. Karthik Raman and Dr. Himanshu Sinha Visiting Professor: Prof Srinivasan Parthasarathy Student: Ms. Beethika Tripathi Headline: IIT Madras researchers develop algorithms to detect disease-causing dysfunctional proteins, genes in biological networks URL: https://www.edexlive.com/news/2020/apr/06/iit-madras-researchers-develop- algorithms-to-detect-disease-causing-dysfunctional-proteins-11134.html The Indian Institute of Technology (IIT), Madras has developed computational algorithms to link diseases to underlying genes. The algorithms not only detect gene groups that cause diseases but also the links between various related diseases and gene groups. The team comprehensively analysed existing module identification algorithms and developed an improved system that achieved performance improvement in identifying disease-relevant modules over existing approaches. The team consists of B Ravindran, head, Robert Bosch Centre for Data Science and Artificial Intelligence, (RBC DSAI), IIT Madras, Karthik Raman and Himanshu Sinha, faculty members, RBC DSAI. They hope to develop detailed maps of disease-specific networks that can help in better understanding of the connections among genes, proteins and diseases, and thus contribute towards the field of disease network biology. Elaborating on the fundamentals of this research, Ravindran said, “All biological processes are a result of complex interactions among genes, proteins and diseases are often caused by perturbations in them. Genes are seldom isolated and occur as connected groups called disease modules. The ability to identify and automatically extract these modules can help in understanding the root causes of several diseases and the functional roles of different protein/genetic modules in disease.” Using the ‘overlapping’ community detection algorithms, the team has shown the overlaps in disease modules in related diseases. “We know from real life that diabetes, cardiovascular problems and cholesterol issues are interrelated; our algorithm simply captures the link,” added Ravindran. The research work