💥Interactive Workshop Hosted by NIH .AI and NVIDIA
🧑💻Deep Learning for Computer Vision and Medical Image Analysis
🗓 Date: October 19, 2021
🕐 Time: 1 pm - 4 pm, EST
📍Location: Online, Webex
✍️Webex join link
- Meeting number (access code): 2312 194 3329
- Meeting password: bJpP53Jhv*7
ℹ️ More information
📲Channel: @Bioinformatics
🧑💻Deep Learning for Computer Vision and Medical Image Analysis
🗓 Date: October 19, 2021
🕐 Time: 1 pm - 4 pm, EST
📍Location: Online, Webex
✍️Webex join link
- Meeting number (access code): 2312 194 3329
- Meeting password: bJpP53Jhv*7
ℹ️ More information
📲Channel: @Bioinformatics
🏢Free Open Precision Medicine Conference & Job Fair
🗓 Date: Friday, October 22
🖇Registeration & more info.:
https://www.biomage.net/opm1
📲Channel: @Bioinformatics
🗓 Date: Friday, October 22
🖇Registeration & more info.:
https://www.biomage.net/opm1
📲Channel: @Bioinformatics
📃A survey on literature based discovery approaches in biomedical domain
🌐 Read the paper
📲Channel: @Bioinformatics
🌐 Read the paper
📲Channel: @Bioinformatics
📑Biological Computation and Computational Biology: Survey, Challenges, and Discussion
💥From abstract: We present a comprehensive review showcasing how biology and computer science can guide and benefit each other, resulting in improved understanding of biological processes and at the same time advances in the design of algorithms. Unfortunately, integration between biology and computer science is often challenging, especially due to the cultural idiosyncrasies of these two communities. In this study, we aim at highlighting how nature has inspired the development of various algorithms and techniques in computer science, and how computational techniques and mathematical modeling have helped to better understand various fields in biology. We identified existing gaps between biological computation and computational biology and advocate for bridging this gap between "wet" and "dry" research.
🌐 Read the paper
📲Channel: @Bioinformatics
💥From abstract: We present a comprehensive review showcasing how biology and computer science can guide and benefit each other, resulting in improved understanding of biological processes and at the same time advances in the design of algorithms. Unfortunately, integration between biology and computer science is often challenging, especially due to the cultural idiosyncrasies of these two communities. In this study, we aim at highlighting how nature has inspired the development of various algorithms and techniques in computer science, and how computational techniques and mathematical modeling have helped to better understand various fields in biology. We identified existing gaps between biological computation and computational biology and advocate for bridging this gap between "wet" and "dry" research.
🌐 Read the paper
📲Channel: @Bioinformatics
🎬Free virtual workshop
🧑💻Network analysis in Cytoscape
🗓 Date:
Oct 20, 2021 04:00 PM
Time shows in Eastern Time (US and Canada)
📍Location: Virtually via Zoom
▫️Meeting ID: 952 1280 2221
▫️Meeting link to join
ℹ️ More information
📲Channel: @Bioinformatics
🧑💻Network analysis in Cytoscape
🗓 Date:
Oct 20, 2021 04:00 PM
Time shows in Eastern Time (US and Canada)
📍Location: Virtually via Zoom
▫️Meeting ID: 952 1280 2221
▫️Meeting link to join
ℹ️ More information
📲Channel: @Bioinformatics
🏢 2nd Bioinformatics and Biodiversity Conferences (BBC 2021)
💥"Applied Bioinformatics in Molecular Medicine and Conservation Biology"
🗓 Date: 27-28 November 2021
📍Location: Virtual via Zoom
✍️Registration link
🖇Website: https://bbc.akademisi.co.id/
📲Channel: @Bioinformatics
💥"Applied Bioinformatics in Molecular Medicine and Conservation Biology"
🗓 Date: 27-28 November 2021
📍Location: Virtual via Zoom
✍️Registration link
🖇Website: https://bbc.akademisi.co.id/
📲Channel: @Bioinformatics
🏢 1st Central Asia Genomics Symposium
🗓 Date: December 9-10, 2021
📍Location: Virtual via Zoom and In person at National University of Uzbekistan
✍️Registration link (Free)
💣 Abstract submission deadline: November 19, 2021
🖇Website: https://www.centralasiagenomics.com/
📲Channel: @Bioinformatics
🗓 Date: December 9-10, 2021
📍Location: Virtual via Zoom and In person at National University of Uzbekistan
✍️Registration link (Free)
💣 Abstract submission deadline: November 19, 2021
🖇Website: https://www.centralasiagenomics.com/
📲Channel: @Bioinformatics
💥Good tutorial of Cytoscape for biological network visualization
📕 An Introduction to Network Analysis and Cytoscape
🌐 Study the article
📲Channel: @Bioinformatics
📕 An Introduction to Network Analysis and Cytoscape
🌐 Study the article
📲Channel: @Bioinformatics
🇪🇸Region specific post
📣 BIOINFO CLUB OCTUBRE 2021 📣
RNA: una paleta de más de 170 colores
🗓 26 de Octubre
🕖 De 19h a 20:30h, CEST
📚 Imparte:
👉 Ricardo Lebrón, PhD (UAL, CIAMBITAL)
ℹ️ Registro + información:
https://t.co/9fPuBduhDh?amp=1
📲Channel: @Bioinformatics
📣 BIOINFO CLUB OCTUBRE 2021 📣
RNA: una paleta de más de 170 colores
🗓 26 de Octubre
🕖 De 19h a 20:30h, CEST
📚 Imparte:
👉 Ricardo Lebrón, PhD (UAL, CIAMBITAL)
ℹ️ Registro + información:
https://t.co/9fPuBduhDh?amp=1
📲Channel: @Bioinformatics
Eventbrite
RNA: una paleta de más de 170 colores | BioInfo Club
Revisaremos las principales modificaciones que afectan al ARN, sus implicaciones y posible utilidad en el estudio de enfermedades.
🎞 Free webinar
*Multi-Omics approach to infectious diseases: Current status and perspectives*
🗓 Date: October 23 2021
🕐 Time: 5.00 - 6.00 PM (IST)
✍🏻 Registrations
📲Channel: @Bioinformatics
*Multi-Omics approach to infectious diseases: Current status and perspectives*
🗓 Date: October 23 2021
🕐 Time: 5.00 - 6.00 PM (IST)
✍🏻 Registrations
📲Channel: @Bioinformatics
📊Visual Analytics of Genomic and Cancer Data: A Systematic Review
💥From abstract: ... This article provides a comprehensive systematic review and discussion on the tools, methods, and trends for visual analytics of cancer-related genomic data. We reviewed methods for genomic data visualisation including traditional approaches such as scatter plots, heatmaps, coordinates, and networks, as well as emerging technologies using AI and VR. We also demonstrate the development of genomic data visualisation tools over time and analyse the evolution of visualising genomic data...
🖇 Study the paper
📲Channel: @Bioinformatics
💥From abstract: ... This article provides a comprehensive systematic review and discussion on the tools, methods, and trends for visual analytics of cancer-related genomic data. We reviewed methods for genomic data visualisation including traditional approaches such as scatter plots, heatmaps, coordinates, and networks, as well as emerging technologies using AI and VR. We also demonstrate the development of genomic data visualisation tools over time and analyse the evolution of visualising genomic data...
🖇 Study the paper
📲Channel: @Bioinformatics
📚Programming for Biology
💥Online course with full materials
👉🏻 Website: http://programmingforbiology.org
🖇 Associate Github including all course materials
📲Channel: @Bioinformatics
💥Online course with full materials
👉🏻 Website: http://programmingforbiology.org
🖇 Associate Github including all course materials
📲Channel: @Bioinformatics
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📃Representation Learning for Networks in Biology and Medicine: Advancements, Challenges, and Opportunities
🌐 Study the paper
📲Channel: @Bioinformatics
🌐 Study the paper
📲Channel: @Bioinformatics
🎞 Free webinar
Fundamentals of Next Generation Sequencing: A Sneak Peek into Genomics Lab
🗓 Date: 28 October 2021
🕐 Time: 11:00 AM
✍🏻 Registrations
📲Channel: @Bioinformatics
Fundamentals of Next Generation Sequencing: A Sneak Peek into Genomics Lab
🗓 Date: 28 October 2021
🕐 Time: 11:00 AM
✍🏻 Registrations
📲Channel: @Bioinformatics
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🏢 5th International Symposium on Bioinformatics (InSyB) 2021
🗓 Date: December 15-17, 2021
📍Location: Virtually in Turkey with Bezmialem Vakıf University
✍️Registration and submissions are FREE!
💣 Abstract submission deadline: 15.11.2021
🖇Website: https://insyb2021.bezmialem.edu.tr/
📲Channel: @Bioinformatics
🗓 Date: December 15-17, 2021
📍Location: Virtually in Turkey with Bezmialem Vakıf University
✍️Registration and submissions are FREE!
💣 Abstract submission deadline: 15.11.2021
🖇Website: https://insyb2021.bezmialem.edu.tr/
📲Channel: @Bioinformatics
🧪Machine Learning in Enzyme Engineering
Abstract: Enzyme engineering plays a central role in developing efficient biocatalysts for biotechnology, biomedicine, and life sciences. Apart from classical rational design and directed evolution approaches, machine learning methods have been increasingly applied to find patterns in data that help predict protein structures, improve enzyme stability, solubility, and function, predict substrate specificity, and guide rational protein design. In this Perspective, we analyze the state of the art in databases and methods used for training and validating predictors in enzyme engineering. We discuss current limitations and challenges which the community is facing and recent advancements in experimental and theoretical methods that have the potential to address those challenges. We also present our view on possible future directions for developing the applications to the design of efficient biocatalysts.
🌐 Study the paper
📲Channel: @Bioinformatics
Abstract: Enzyme engineering plays a central role in developing efficient biocatalysts for biotechnology, biomedicine, and life sciences. Apart from classical rational design and directed evolution approaches, machine learning methods have been increasingly applied to find patterns in data that help predict protein structures, improve enzyme stability, solubility, and function, predict substrate specificity, and guide rational protein design. In this Perspective, we analyze the state of the art in databases and methods used for training and validating predictors in enzyme engineering. We discuss current limitations and challenges which the community is facing and recent advancements in experimental and theoretical methods that have the potential to address those challenges. We also present our view on possible future directions for developing the applications to the design of efficient biocatalysts.
🌐 Study the paper
📲Channel: @Bioinformatics
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