πApplication of social network analysis to COVID-19 data
π Read the paper
π²Channel: @Bioinformatics
π Read the paper
π²Channel: @Bioinformatics
π Lessons from the Pandemic for Machine Learning and Medical Imaging
π₯Presented on behalf of Isaac Newton Institute for Mathematical Sciences
π Watch
π²Channel: @Bioinformatics
π₯Presented on behalf of Isaac Newton Institute for Mathematical Sciences
π Watch
π²Channel: @Bioinformatics
ππ¬Online tutorial
β‘οΈIntroductory 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.
β¦οΈWhat will you achieve?
By the end of the course you will be able to:
β«οΈOutline what bioinformatics is
β«οΈDescribe the importance of data management
β«οΈRecall which resources are available from EMBL-EBI
β«οΈKnow where to find information about genes
β«οΈView information on gene expression
β«οΈSearch for protein information
β«οΈKnow where to find out more about EMBL-EBI resources
π Enter Course
π²Channel: @Bioinformatics
β‘οΈIntroductory 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.
β¦οΈWhat will you achieve?
By the end of the course you will be able to:
β«οΈOutline what bioinformatics is
β«οΈDescribe the importance of data management
β«οΈRecall which resources are available from EMBL-EBI
β«οΈKnow where to find information about genes
β«οΈView information on gene expression
β«οΈSearch for protein information
β«οΈKnow where to find out more about EMBL-EBI resources
π Enter Course
π²Channel: @Bioinformatics
π½ Analysis of Viral Sequencing Data
π₯Recorded lecture from Computational Genomics Summer Institute: CGSI
π Watch
π²Channel: @Bioinformatics
π₯Recorded lecture from Computational Genomics Summer Institute: CGSI
π Watch
π²Channel: @Bioinformatics
YouTube
Alex Zelikovsky | Analysis of Viral Sequencing Data | CGSI 2019
Speaker: Alex Zelikovsky
Talk: " Analysis of Viral Sequencing Data"
Location: Mong Auditorium, 7/18/19
Talk: " Analysis of Viral Sequencing Data"
Location: Mong Auditorium, 7/18/19
π¨βπ« Introduction to R for Health Data Science
π₯Free online course from University of Manchester
π Enter the course
π²Channel: @Bioinformatics
π₯Free online course from University of Manchester
π Enter the course
π²Channel: @Bioinformatics
πReproducible Bioinformatics Research for Biologists
π½ Download book chapter
π²Channel: @Bioinformatics
π½ Download book chapter
π²Channel: @Bioinformatics
πMachine learning in medicine: a practical introduction
π₯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.
π Read the paper
π²Channel: @Bioinformatics
π₯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.
π Read the paper
π²Channel: @Bioinformatics
π¬Free webinar
π§βπ»Designing and Optimizing RNA-Seq Experiments
Learning Objectives:
β«οΈKnow Available RNA sequencing technologies and their applications
β«οΈOptimizing library preparation depending on the sequencing platform
β«οΈHow to obtain the proper sample quality required for each RNA sequencing technology
β«οΈThe importance of replicate numbers to obtain reliable results
π Date:
Monday, September 27, 2021
π Time:
11:00 AM - 12:00 PM Eastern Time
βοΈ Registration and more details
π²Channel: @Bioinformatics
π§βπ»Designing and Optimizing RNA-Seq Experiments
Learning Objectives:
β«οΈKnow Available RNA sequencing technologies and their applications
β«οΈOptimizing library preparation depending on the sequencing platform
β«οΈHow to obtain the proper sample quality required for each RNA sequencing technology
β«οΈThe importance of replicate numbers to obtain reliable results
π Date:
Monday, September 27, 2021
π Time:
11:00 AM - 12:00 PM Eastern Time
βοΈ Registration and more details
π²Channel: @Bioinformatics
ππΊGenomics Boot Camp (Online Book + YouTube channel)
π₯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.
π¦ Movies
πOnline Tutorial
π²Channel: @Bioinformatics
π₯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.
π¦ Movies
πOnline Tutorial
π²Channel: @Bioinformatics
π₯1
πBioinformatics 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...
π Read the paper
π²Channel: @Bioinformatics
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...
π Read the paper
π²Channel: @Bioinformatics
2021_Differential_Expression_Analysis_of_RNA_Seq_Data_and_Co_expression.pdf
9.8 MB
πPractical Differential Expression Analysis of RNA-Seq Data and Co-expression Networks
π²Channel: @Bioinformatics
π²Channel: @Bioinformatics
π π Pathways and Network Analysis 2021
π¨π»βπ»3 days full workshop details
π Workshop details
π²Channel: @Bioinformatics
π¨π»βπ»3 days full workshop details
π Workshop details
π²Channel: @Bioinformatics
π·Job opportunity
π¨βπ«Eligibility: Master or PhD degree in Bioinformatics, Computational Biology or similar area.
πContract type: Pemanent contract
π¦Work Hours: Full time - 40h/week
πLocation: Strassen (Luxembourg)
π Start date: immediate
βΉοΈ More info and apply
π²Channel: @Bioinformatics
π¨βπ«Eligibility: Master or PhD degree in Bioinformatics, Computational Biology or similar area.
πContract type: Pemanent contract
π¦Work Hours: Full time - 40h/week
πLocation: Strassen (Luxembourg)
π Start date: immediate
βΉοΈ More info and apply
π²Channel: @Bioinformatics
π΅ 25 awarded funds across 30 U.S. research sites
π₯NIH providing $185 million for research to advance understanding of how human genome functions
βΉοΈ More information
π²Channel: @Bioinformatics
π₯NIH providing $185 million for research to advance understanding of how human genome functions
βΉοΈ More information
π²Channel: @Bioinformatics
πΉIntroduction to Weighted Gene Co-expression Network Analysis (WGCNA)
π₯recorded webinar
π Goals:
β«οΈIntroduction and motivation for co-expression network analysis
β«οΈBasics of weighted gene co-expression network analysis
β«οΈStep-by-step guide to WGCNA using the WGCNA package in R.
π Watch
π²Channel: @Bioinformatics
π₯recorded webinar
π Goals:
β«οΈIntroduction and motivation for co-expression network analysis
β«οΈBasics of weighted gene co-expression network analysis
β«οΈStep-by-step guide to WGCNA using the WGCNA package in R.
π Watch
π²Channel: @Bioinformatics
YouTube
Webinar #7 β Introduction to Weighted Gene Co-expression Network Analysis
Goals of this webinar (molecular networks):
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.
Background reading available at: hβ¦
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.
Background reading available at: hβ¦
π How helpful are the protein-protein interaction databases and which ones?
π Study the paper
π²Channel: @Bioinformatics
π Study the paper
π²Channel: @Bioinformatics
π1
π¬How machine learning approaches can be tailored to making discoveries with biological data
π§βπ«Nine hours recorded workshop + Slides
π₯ICML 2021 Workshop on Computational Biology
π₯ Watch
π Workshop website
π²Channel: @Bioinformatics
π§βπ«Nine hours recorded workshop + Slides
π₯ICML 2021 Workshop on Computational Biology
π₯ Watch
π Workshop website
π²Channel: @Bioinformatics
πΎTen 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 βsoftware papersβ 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.
π Study the paper
π²Channel: @Bioinformatics
Abstract: Papers describing software are an important part of computational fields of scientific research, like bioinformatics. These βsoftware papersβ 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.
π Study the paper
π²Channel: @Bioinformatics
π¬Free webinar
π§βπ»Impact of SARS-CoV-2 Infection on Host Gene Expression
π Date:
Thursday, September 23, 2021
π Time:
2pm EDT (11am PDT / 1pm CDT) 60 min
βοΈ Registration and more details
π²Channel: @Bioinformatics
π§βπ»Impact of SARS-CoV-2 Infection on Host Gene Expression
π Date:
Thursday, September 23, 2021
π Time:
2pm EDT (11am PDT / 1pm CDT) 60 min
βοΈ Registration and more details
π²Channel: @Bioinformatics
Xtalks
Impact of SARS-CoV-2 Infection on Host Gene Expression Across Multiple Tissues at Single Cell Resolution
Join this webinar to learn more about the alteration of host gene expression as a result of COVID-19 infection, and novel laboratory techniques designed to evaluate this at a single-cell resolution