Bioinformatics
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Bioinformatics, Computational Biology & Systems Biology

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🦠Virus Bioinformatics

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πŸ“²Channel: @Bioinformatics
πŸ§‘β€πŸŽ“42 thesis titles with descriptions for MSc students of bioinformatics
πŸ’₯from Wageningen University & Research

πŸ–‡ See details

πŸ“²Channel: @Bioinformatics
πŸ‘¨πŸ»β€πŸ’»Bioinformatics Computing
🎞Fall 2021 Recorded lectures + Slides from Edwards Lab in Georgetown University

πŸ’₯This course provides a hands-on introduction to programming for bioinformatics using the scripting language Python. Students will build a portfolio of scripts that automate common bioinformatics tasks, from reading and writing common bioinformatics file formats and accessing data in relational databases and web-based repositories, interfacing with external tools such as blast, and building web-based resources for use by interactive users or as web-services.

πŸ•Έ Course webpage

πŸ“²Channel: @Bioinformatics
🎞 Free webinar
*Application of Bioinformatics in current research*

πŸ—“ Date: November 21 2021
πŸ• Time: 5.00-6.00 PM (IST)

✍🏻 Registrations

πŸ“²Channel: @Bioinformatics
πŸ“‘Machine learning for biology with Python

πŸ’₯Machine learning is programming by example. There are a couple of different categories of biological and medical problems that fall into the machine learning category. We will practically learn an easy case here using python.

▫️Part 1
▫️Part 2
▫️Part 3

πŸ“²Channel: @Bioinformatics
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πŸ“°Getting started in Bioinformatics: A step-by-step guide

▫️Part 1: Why do you want to become a Bioinformatician?
▫️Part 2: What happens if you try solving Bioinformatics problems without a good understanding of programming fundamentals?
▫️Part 3: Master the fundamentals of programming!
▫️Part 4: What do I need to get started?
▫️Part 5: A plan of action.
▫️Part 6: Additional resources

πŸ–‡ Study with details

πŸ“²Channel: @Bioinformatics
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πŸ“‘Deep learning in bioinformatics: Introduction, application, and perspective in the big data era

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πŸ‘¨πŸ»β€πŸ’»The implementations are freely available at
https://github.com/lykaust15/Deep_learning_examples.

πŸ“²Channel: @Bioinformatics
Audio
🎡 Hear the proteins music

We believe that hearing the sound of life at the molecular level could help inspire people to learn more about biology and the computational sciences. While creating music based on proteins isn’t new, different musical styles and composition algorithms had yet to be explored. So we led a team of students and other scholars to figure out how to create classical music from proteins.

πŸ–‡ Read the story

πŸ“²Channel: @Bioinformatics
🎞 Free webinar
Machine Learning Applications in Genomics

πŸ—“ Date: Thu, 2 December 2021
πŸ• Time: 16:30 – 17:30 +0330

✍🏻 Registrations & More information

πŸ“²Channel: @Bioinformatics
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πŸ“‘A Review on Potentials of Artificial Intelligence Approaches to Forecasting COVID-19 Spreading

🌐 Study

πŸ“²Channel: @Bioinformatics
πŸ‘¨β€πŸ« Registration is open for
πŸ’₯ Genome Informatics workshop- Second Edition, 2021πŸ’₯

πŸ—“ Duration: December 6 to December 22, 2021

✍️ Registration Link: https://decodelife.co.in

πŸ’²Fees: Rupees 1000 for Indian Participants /USD 20 for international Participants

πŸ’₯Key Features:
▫️ 16 sessions with approximately 25 hrs of learning.
▫️E-Certificate of Participation
▫️Videos recording of each session will be shared with participants

πŸ“²Channel: @Bioinformatics
🎞 Free webinar
Genomic prediction with Bayesian methods

πŸ—“ Date: Tue, 30 Nov 2021
πŸ• Time: 11:00 AM - 1:00 PM AEDT

✍🏻 Registrations & More info.

πŸ“²Channel: @Bioinformatics
πŸ“ΉComputational Methods in Evolutionary Biology, WS 2021/2022
πŸ“šFull course materials (including Handouts, Lecture videos, Exercises, ...) from Ludwig Maximilian University

🎞Phylogenetics Introduction
🌐 Main page of the course

πŸ“²Channel: @Bioinformatics
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πŸ“‘Opportunities and obstacles for deep learning in biology and medicine
πŸ’₯Paper with more than 600 references and under continuous update

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πŸ“²Channel: @Bioinformatics
πŸ’€ Is β€œbioinformatics” dead?

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πŸ“²Channel: @Bioinformatics
πŸ’½ Big Multi-Omics Data Analytics

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πŸ“²Channel: @Bioinformatics
πŸ“„Early Requirement for Bioinformatics in Undergraduate Biology Curricula

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πŸ“²Channel: @Bioinformatics