Bioinformatics – Telegram
Bioinformatics
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Bioinformatics, Computational Biology & Systems Biology

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📚Programming for Biology
💥Online course with full materials

👉🏻 Website: http://programmingforbiology.org
🖇 Associate Github including all course materials

📲Channel: @Bioinformatics
👍1
📃Representation Learning for Networks in Biology and Medicine: Advancements, Challenges, and Opportunities

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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
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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
📄How To Self Learn Bioinformatics: The Complete Guide

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📲Channel: @Bioinformatics
🎓MSc thesis about Gene-Disease Association Prediction

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📲Channel: @Bioinformatics
📑Deep learning in bioinformatics

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📲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.

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📲Channel: @Bioinformatics
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🧰Resources to become a computational biologist outside of academia

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📲Channel: @Bioinformatics
📑 A field guide to cultivating computational biology

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📲Channel: @Bioinformatics
👨‍🏫Introduction to Biomedical Data Science and Health Informatics
💥Yale University Full archive July 2020
Join us for an introduction to basic biomedical data science knowledge and health informatics skills. This course is targeted for beginners in informatics. No previous experience is required.

🌐 Go to online course

📲Channel: @Bioinformatics
📄 Advances in Non-Coding RNA Sequencing

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📲Channel: @Bioinformatics
📹 Introduction to Metagenomics
▫️
What is Metagenomics?
▫️What kind of questions can Metagenomics be used to answer?
▫️Is
Metagenomics right for me?
▫️...

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📲Channel: @Bioinformatics
📘 Illumina’s Ebook
High impact discovery through gene expression and regulation research
💥Learn more about methods to link genotype to phenotype

⬇️ Download the ebook

📲Channel: @Bioinformatics
📚Recommended sources for self learning Bioinformatics

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📲Channel: @Bioinformatics
🇪🇸Region specific post

📣 BIOINFO CLUB NOVIEMBRE 2021 📣

Factores genéticos implicados en el agravamiento de la sepsis

🗓 16 de Noviembre
🕖 De 19h a 20:00h, CET
📚 Imparte:
👉 Tamara Hernández, PhD student (Universidad de La Laguna)
ℹ️ Registro + información:
buff.ly/3H0hciM

📲Channel: @Bioinformatics