ISCBacademy webinars are offered as a free service to all ISCB members. Non-member rates are based on the ranked membership dues.
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ISCB in collaboration with our Communities of Special Interest is pleased to announce the ISCBacademy COSI Webinar Series. Mark your calendars for Tuesdays at 11 AM Eastern Time Zone to participate in a COSI themed webinar.
Upcoming Webinars (check back regularly for speaker and registration details):
September 14, 2021 - OBF/BOSC
September 21, 2021 - Bio-Ontologies
September 28, 2021 - Bioinfo Core
October 5, 2021 - CAMDA
October 12, 2021 - BioVis
October 19, 2021 - CompMS
October 26, 2021 - Education
November 2, 2021 - EvolCompGen
November 9, 2021 - Function
November 16, 2021 - HiTSeq
November 23, 2021 - iRNA
November 30, 2021 - Microbiome
December 7, 2021 - MLCSB
December 14, 2021 - NetBio
Join us for our upcoming ISCBacademy Webinars. Check back regularly for updates.
To propose a talk for an ISCBacademy Webinar click here.
September 21, 2021 at 11:00AM EDT
Ontology development avails of science, engineering, and philosophy to represent the subject domain knowledge formally so that it can be used to enhance information systems. This process involves resolving ontological differences and making choices between conflicting axioms, which are due to various reasons. Examples include different foundational ontologies, alternate design patterns for the prospective ontology’s use case, and an ontology language’s expressivity limitations.
Instead of ad hoc decision-making, science and engineering-based modelling guidance with methods and tools can alleviate these issues to assist with the meaning negotiation and conflict resolution in a systematic way. In this talk, I will discuss common conflicts and typical steps toward resolution, including the tool availability for it. A similar situation with trade-offs exist when deploying ontologies for ontology-based data access and integration, which we shall touch upon as well. Use cases, tools, and experiments were in several subject domains, such as avian influenza, horizontal gene transfer, and metabolic pathways.
Metabolic modelling of microbial interactions in microbiomes
By Aarthi Ravikrishnan, Karthik Raman and Dinesh Kumar
October 22, 2021 at 9:00AM UTC
About the Tutorial
The recent years have seen the emergence of the microbiomes as important axes of human health and disease. Microbial communities abound in various regions of the human body, notably the gut, skin and the oral cavity. Microbial communities are increasingly being used for industrial fermentations and wastewater treatment. Many algorithms and tools have been developed to study microbial communities, particularly the metabolic interactions that drive and sustain these microbial communities. In this tutorial, we seek to provide a brief overview of the key modelling paradigms that have been used to study microbiomes, particularly focussing on two broad classes of methods: (a) constraint-based modelling, that attempts to model microbial metabolic networks in terms of the fluxes of various constituent reactions, and (b) graph-based modelling, which models microbial interactions as part of a complex graph capturing the exchange of several metabolites between the constituent organisms, and consequently, shed light on the nature of the interactions between the organisms. In this tutorial, we will introduce the participants to the fundamental concepts of metabolic modelling with a special emphasis on microbial communities. Following this, we will delve deeper into different types of techniques to understand interactions in a microbial community. Lastly, we will showcase some representative tools and methods, which will enable the participants to apply the theories to real-life examples and understand the nature of interactions between different kinds of organisms in community settings. At the end of the tutorial, the participants will have an understanding of: - Broad applications of metabolic modelling to model microbiomes - Databases and resources for microbiome modelling - Key constraint-based methods that can be used to understand microbiomes - Key graph-based methods that can aid in understanding metabolic exchanges - Tools for microbiome modelling such as COBRA toolbox (specific algorithms) or MetQuest.
Familiarity with Python is necessary. Python and Matlab must be installed prior to the tutorial along with select packages and toolboxes. Instructions will be available in the GitHub repository by 1st October, 2021.
About the Hosts
Karthik Raman is an Associate Professor at the Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, IIT Madras. Karthik’s research group works on the development of algorithms and computational tools to understand, predict and manipulate complex biological networks. Broadly spanning computational aspects of synthetic and systems biology, key areas of research in his group encompass microbiome analysis, in silico metabolic engineering, biological network design and biological data analysis. Karthik also co-ordinates the Centre for Integrative Biology and Systems Medicine and is a core member of the Robert Bosch Centre for Data Science and Artificial Intelligence (RBC-DSAI). Karthik teaches courses on computational biology and systems biology at IIT Madras, and has also authored a textbook on Computational Systems Biology. Aarthi Ravikrishnan is a postdoctoral fellow and a team lead at Genome Institute of Singapore. Her research interests are predominantly in microbiome analytics and developing computational methods to understand the role of microbiome in health. Her team focusses on understanding skin and gut microbiome through data generation and analyses. She, along with Karthik Raman, has co-authored a book on Systems-level modelling of microbial communities.