Bioinformatics
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Bioinformatics, Computational Biology & Systems Biology

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πŸ“‘Application of social network analysis to COVID-19 data

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πŸ“²Channel: @Bioinformatics
🎞 Lessons from the Pandemic for Machine Learning and Medical Imaging
πŸ’₯Presented on behalf of Isaac Newton Institute for Mathematical Sciences

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πŸ“²Channel: @Bioinformatics
πŸ“•πŸŽ¬Online tutorial
⚑️Introductory bioinformatics
A curated set of EMBL-EBI online courses

This curated pathway brings together a number of online tutorials and recorded webinars to provide an introduction to bioinformatics, a brief tour of the resources available from EMBL-EBI and more details about some of those resources, including Ensembl, UniProt and Expression Atlas.

♦️What will you achieve?
By the end of the course you will be able to:
▫️Outline what bioinformatics is
▫️Describe the importance of data management
▫️Recall which resources are available from EMBL-EBI
▫️Know where to find information about genes
▫️View information on gene expression
▫️Search for protein information
▫️Know where to find out more about EMBL-EBI resources

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πŸ“²Channel: @Bioinformatics
πŸ“½ Analysis of Viral Sequencing Data
πŸ’₯Recorded lecture from Computational Genomics Summer Institute: CGSI

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πŸ“²Channel: @Bioinformatics
πŸ‘¨β€πŸ« Introduction to R for Health Data Science
πŸ’₯
Free online course from University of Manchester

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πŸ“²Channel: @Bioinformatics
πŸ“•Reproducible Bioinformatics Research for Biologists

πŸ”½ Download book chapter

πŸ“²Channel: @Bioinformatics
πŸ“‘Machine learning in medicine: a practical introduction
πŸ’₯We address the need for capacity development in this area by providing a conceptual introduction to machine learning alongside a practical guide to developing and evaluating predictive algorithms using freely-available open source software and public domain data.

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πŸ“²Channel: @Bioinformatics
🎬Free webinar
πŸ§‘β€πŸ’»Designing and Optimizing RNA-Seq Experiments

Learning Objectives:
▫️Know Available RNA sequencing technologies and their applications
▫️Optimizing library preparation depending on the sequencing platform
▫️How to obtain the proper sample quality required for each RNA sequencing technology
▫️The importance of replicate numbers to obtain reliable results

πŸ—“ Date:
Monday, September 27, 2021

πŸ•š Time:
11:00 AM - 12:00 PM Eastern Time

✍️ Registration and more details

πŸ“²Channel: @Bioinformatics
πŸ“–πŸ“ΊGenomics Boot Camp (Online Book + YouTube channel)

πŸ’₯The Genomics Boot Camp is a resource that helps you to start your journey in practical analysis of genomic data, with a focus on SNP data. The chapters follow the same structure all the time: provide background information and practical insight to the topic, and when appropriate exercises to reinforce the obtained knowledge. The Genomics Boot Camp as a whole was designed to cater to various learning preferences with written text, video demonstrations, and the possibility of hands-on exercises. There is a certain overlap between the book and the YouTube channel contents, but each has unique pieces of information as well. So for the full experience, I suggest checking out both.

🎦 Movies
πŸ““Online Tutorial

πŸ“²Channel: @Bioinformatics
πŸ”₯1
πŸ“‘Bioinformatics core competencies for undergraduate life sciences education

From Paper Abstract: Although bioinformatics is becoming increasingly central to research in the life sciences, bioinformatics skills and knowledge are not well integrated into undergraduate biology education. This curricular gap prevents biology students from harnessing the full potential of their education, limiting their career opportunities and slowing research innovation. To advance the integration of bioinformatics into life sciences education, a framework of core bioinformatics competencies is needed. To that end, we here report the results of a survey of biology faculty in the United States about teaching bioinformatics to undergraduate life scientists. Responses were received from 1,260 faculty representing institutions in all fifty states with a combined capacity to educate hundreds of thousands of students every year...

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πŸ“²Channel: @Bioinformatics
2021_Differential_Expression_Analysis_of_RNA_Seq_Data_and_Co_expression.pdf
9.8 MB
πŸ“‘Practical Differential Expression Analysis of RNA-Seq Data and Co-expression Networks

πŸ“²Channel: @Bioinformatics
🎞 πŸ“” Pathways and Network Analysis 2021
πŸ‘¨πŸ»β€πŸ’»3 days full workshop details

🌐 Workshop details

πŸ“²Channel: @Bioinformatics
πŸ‘·Job opportunity

πŸ‘¨β€πŸ«Eligibility: Master or PhD degree in Bioinformatics, Computational Biology or similar area.

πŸ“‘Contract type: Pemanent contract

πŸ•¦Work Hours: Full time - 40h/week

πŸ“Location: Strassen (Luxembourg)

πŸ—“ Start date: immediate

ℹ️ More info and apply

πŸ“²Channel: @Bioinformatics
πŸ’΅ 25 awarded funds across 30 U.S. research sites
πŸ’₯NIH providing $185 million for research to advance understanding of how human genome functions

ℹ️ More information

πŸ“²Channel: @Bioinformatics
πŸ“ΉIntroduction to Weighted Gene Co-expression Network Analysis (WGCNA)
πŸ’₯recorded webinar

πŸŽ– Goals:
▫️Introduction and motivation for co-expression network analysis
▫️Basics of weighted gene co-expression network analysis
▫️Step-by-step guide to WGCNA using the WGCNA package in R.

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πŸ“²Channel: @Bioinformatics
πŸ“‘ How helpful are the protein-protein interaction databases and which ones?

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πŸ“²Channel: @Bioinformatics
πŸ‘1
🎞Predicting Protein Contacts from Sequence Information

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πŸ“²Channel: @Bioinformatics
🎬How machine learning approaches can be tailored to making discoveries with biological data
πŸ§‘β€πŸ«Nine hours recorded workshop + Slides
πŸ’₯ICML 2021 Workshop on Computational Biology

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🌐 Workshop website

πŸ“²Channel: @Bioinformatics
πŸ’ΎTen simple rules for writing a paper about scientific software

Abstract: Papers describing software are an important part of computational fields of scientific research, like bioinformatics. These β€œsoftware papers” are unique in a number of ways, and they require special consideration to improve their impact on the scientific community and their efficacy at conveying important information. Here, we discuss 10 specific rules for writing software papers, covering some of the different scenarios and publication types that might be encountered, and important questions from which all computational researchers would benefit by asking along the way.

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πŸ“²Channel: @Bioinformatics