📜Machine Learning in Drug Discovery: A Review
💥This review provides the feasible literature on drug discovery through ML tools and techniques that are enforced in every phase of drug development to accelerate the research process and deduce the risk and expenditure in clinical trials...
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📲Channel: @Bioinformatics
💥This review provides the feasible literature on drug discovery through ML tools and techniques that are enforced in every phase of drug development to accelerate the research process and deduce the risk and expenditure in clinical trials...
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📲Channel: @Bioinformatics
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📑Understanding Bioinformatics as the application of Machine Learning
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📲Channel: @Bioinformatics
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📲Channel: @Bioinformatics
📑 Teaching the ABCs of bioinformatics:
a brief introduction to the Applied Bioinformatics Course
💥From abstract: With the development of the Internet and the growth of online resources, bioinformatics training for wet-lab biologists became necessary as a part of their education. This article describes a one-semester course ‘Applied Bioinformatics Course’ (ABC) that the author has been teaching to biological graduate students at the Peking University and the Chinese Academy of Agricultural Sciences for the past 13 years. ABC is a hands-on practical course to teach students to use online bioinformatics resources to solve biological problems related to their ongoing research projects in molecular biology.
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📲Channel: @Bioinformatics
a brief introduction to the Applied Bioinformatics Course
💥From abstract: With the development of the Internet and the growth of online resources, bioinformatics training for wet-lab biologists became necessary as a part of their education. This article describes a one-semester course ‘Applied Bioinformatics Course’ (ABC) that the author has been teaching to biological graduate students at the Peking University and the Chinese Academy of Agricultural Sciences for the past 13 years. ABC is a hands-on practical course to teach students to use online bioinformatics resources to solve biological problems related to their ongoing research projects in molecular biology.
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📲Channel: @Bioinformatics
📃Analysis of metabolomics data using systems biology approaches
💥from correlation to causation
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💥from correlation to causation
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📲Channel: @Bioinformatics
💥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
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📲Channel: @Bioinformatics
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📲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.
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📲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.
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📲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
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📲Channel: @Bioinformatics
📕 An Introduction to Network Analysis and Cytoscape
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📲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...
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📲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...
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📲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
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📲Channel: @Bioinformatics
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📲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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