Forwarded from Network Analysis Resources & Updates
🎞 Network Analysis in Systems Biology
💥Free recorded course by Avi Ma’ayan, PhD
💥An introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics and Systems Pharmacology research. The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, differential expression, clustering, enrichment analysis and network construction. The course contains practical tutorials for using tools and setting up pipelines, but it also covers the mathematics behind the methods applied within the tools. The course is mostly appropriate for beginning graduate students and advanced undergraduates majoring in fields such as biology, math, physics, chemistry, computer science, biomedical and electrical engineering. The course should be useful for researchers who encounter large datasets in their own research. The course presents software tools developed by the Ma’ayan Laboratory
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📲Channel: @ComplexNetworkAnalysis
#video #course #Biology
💥Free recorded course by Avi Ma’ayan, PhD
💥An introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics and Systems Pharmacology research. The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, differential expression, clustering, enrichment analysis and network construction. The course contains practical tutorials for using tools and setting up pipelines, but it also covers the mathematics behind the methods applied within the tools. The course is mostly appropriate for beginning graduate students and advanced undergraduates majoring in fields such as biology, math, physics, chemistry, computer science, biomedical and electrical engineering. The course should be useful for researchers who encounter large datasets in their own research. The course presents software tools developed by the Ma’ayan Laboratory
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #course #Biology
Coursera
Network Analysis in Systems Biology
Offered by Icahn School of Medicine at Mount Sinai. This ... Enroll for free.
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👨🏫 Complete, free Genomics course (Lecture notes, recordings, assignments and tests!)
💎Course Goals:
▫️ Provide 4th year undergraduate students who have had little or no bioinformatics experience with a practical introduction to Genomics
▫️ Prioritize understanding material vs pure memorization
▫️ Focus on reading and understanding current literature from Genomics
▫️ Provide hands on experience of beginner level bioinformatics with assignments
▫️ Deliver course purely online
🧰 Course Materials (PowerPoints, Assignments, Tests)
🎞 Lecture Recordings
🌐 Course details
📲Channel: @Bioinformatics
☕️ Buy me a coffee
#course #genomics
💎Course Goals:
▫️ Provide 4th year undergraduate students who have had little or no bioinformatics experience with a practical introduction to Genomics
▫️ Prioritize understanding material vs pure memorization
▫️ Focus on reading and understanding current literature from Genomics
▫️ Provide hands on experience of beginner level bioinformatics with assignments
▫️ Deliver course purely online
🧰 Course Materials (PowerPoints, Assignments, Tests)
🎞 Lecture Recordings
🌐 Course details
📲Channel: @Bioinformatics
☕️ Buy me a coffee
#course #genomics
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👨🏫Phylogenetics: An introduction
💥Free online tutorial from EMBL-EBI
🖇 Course details
🚪Enter course
📲Channel: @Bioinformatics
#Phylogenetics #tutorial #course
💥Free online tutorial from EMBL-EBI
🖇 Course details
🚪Enter course
📲Channel: @Bioinformatics
#Phylogenetics #tutorial #course
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👩🏫Free Udemy Course (3 days validity)
💥Introduction to Bioinformatics
🌐 Course link
🎫 Free coupon for 3 day: SARA_YOUSSEF
📲Channel: @Bioinformatics
#course
💥Introduction to Bioinformatics
🌐 Course link
🎫 Free coupon for 3 day: SARA_YOUSSEF
📲Channel: @Bioinformatics
#course
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Bioinformatics
👨🎓Free self-taught 4 year Curriculum of Bioinformatics! This is a solid path for those of you who want to complete a Bioinformatics course on your own time, for free, with courses from the best universities in the World. In our curriculum, we give preference…
👨🏫 Path to a free self-taught education in Bioinformatics!
💥Recently updated course
🌐 Course details
📲Channel: @Bioinformatics
#course
💥Recently updated course
🌐 Course details
📲Channel: @Bioinformatics
#course
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👨🏫 Introduction to Systems biology
💥 Recorded course from Weizmann Institute of Science
🎞 First session
📽 Full course videos
📲Channel: @Bioinformatics
#video #course #systems_biology
💥 Recorded course from Weizmann Institute of Science
🎞 First session
📽 Full course videos
📲Channel: @Bioinformatics
#video #course #systems_biology
YouTube
Systems biology course 2018 Uri Alon - Lecture 1 - Basic concepts
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📑An overview of bioinformatics courses delivered at the academic level in Italy
📘Journal: PLOS Computational Biology (I.F.=4.779)
🗓Publish year: 2023
📎 Study the paper
📲Channel: @Bioinformatics
#course #italy
📘Journal: PLOS Computational Biology (I.F.=4.779)
🗓Publish year: 2023
📎 Study the paper
📲Channel: @Bioinformatics
#course #italy
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📃 A Bioinformatics Crash Course for Interpreting Genomics Data
📔Journal: CHEST (I.F.=11.393)
🗓Publish year: 2020
📎 Study the paper
📲Channel: @Bioinformatics
#course #gwas
📔Journal: CHEST (I.F.=11.393)
🗓Publish year: 2020
📎 Study the paper
📲Channel: @Bioinformatics
#course #gwas
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📽 Data Wrangling with R
💥 Bioinformatics Training and Education Program from NIH, 2022
📦 Course Materials
▫️Lesson 1: Introduction to R, RStudio
▫️Lesson 2: Getting started with R
▫️Lesson 3: Importing and reshaping data
▫️Lesson 4: Data Visualization with ggplot2
▫️Lesson 5: Introducing dplyr and the pipe
▫️Lesson 6: Continue data wrangling with dplyr
▫️Lesson 7: Important concepts review
📲Channel: @Bioinformatics
#video #course #r
💥 Bioinformatics Training and Education Program from NIH, 2022
📦 Course Materials
▫️Lesson 1: Introduction to R, RStudio
▫️Lesson 2: Getting started with R
▫️Lesson 3: Importing and reshaping data
▫️Lesson 4: Data Visualization with ggplot2
▫️Lesson 5: Introducing dplyr and the pipe
▫️Lesson 6: Continue data wrangling with dplyr
▫️Lesson 7: Important concepts review
📲Channel: @Bioinformatics
#video #course #r
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🎞Bioinformatics with R & Linux
💥Full course with 25 session from Michael W. Vandewege (North Carolina State University)
📹 Watch
📲Channel: @Bioinformatics
#video #course #r
💥Full course with 25 session from Michael W. Vandewege (North Carolina State University)
📹 Watch
📲Channel: @Bioinformatics
#video #course #r
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👩🏫 Linux Fundamentals for Bioinformaticians: A Must-Have Skill
💥Udemy course with free coupon
👩💻 Course link
✉️ Free coupon: SARA10
🗯 Expectation: Those who will register, write their honest feedback and review on the course
📲Channel: @Bioinformatics
#course #linux
💥Udemy course with free coupon
👩💻 Course link
✉️ Free coupon: SARA10
🗯 Expectation: Those who will register, write their honest feedback and review on the course
📲Channel: @Bioinformatics
#course #linux
Udemy
Linux Fundamentals for Bioinformaticians: A Must-Have Skill
A Comprehensive Guide for Beginners, Mastering the Basics and Beyond
👍10👌8❤5👏3🙏1
👨🏫 Workshop in Applied Bioinformatics using R and Python
💥This online book aims to illustrate how you can implement bioinformatic code to perform data manipulation, exploration, mining, statistics and graphics
🗓 Date: 2023-03-15
🌐 Open the GitBook
📲Channel: @Bioinformatics
#workshop #course #r #python
💥This online book aims to illustrate how you can implement bioinformatic code to perform data manipulation, exploration, mining, statistics and graphics
🗓 Date: 2023-03-15
🌐 Open the GitBook
📲Channel: @Bioinformatics
#workshop #course #r #python
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🎬Python Introductory Course for Bioinformaticians - 2023
💥Recorded webinar from NIH Center for Cancer Research
🌐 Enter Course
📲Channel: @Bioinformatics
#video #course
💥Recorded webinar from NIH Center for Cancer Research
🌐 Enter Course
📲Channel: @Bioinformatics
#video #course
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🎬 Computational Biology with Python - Recorded videos
💥Modeling Gene Networks
🌐 Enter Course
📲Channel: @Bioinformatics
#video #course #gene
💥Modeling Gene Networks
🌐 Enter Course
📲Channel: @Bioinformatics
#video #course #gene
👍16❤5🔥3👏2💯1
👨🏫 Analysis of single cell RNA-seq data
💥Free online course from Sanger Institute
🌐 Start reading
📲Channel: @Bioinformatics
#course #rna_seq
💥Free online course from Sanger Institute
🌐 Start reading
📲Channel: @Bioinformatics
#course #rna_seq
www.singlecellcourse.org
Analysis of single-cell RNA-seq data
In this course we will be surveying the existing problems as well as the available computational and statistical frameworks available for the analysis of scRNA-seq. The course is taught through the University of Cambridge Bioinformatics training unit, but…
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👩🏫 Bioinformatics course 2023 materials
💥University of California San Diego
👩💻 Course link
📲Channel: @Bioinformatics
#course
💥University of California San Diego
👩💻 Course link
📲Channel: @Bioinformatics
#course
❤15👍6🔥1👏1
Forwarded from Network Analysis Resources & Updates
🎞 Machine Learning with Graphs: Graph Neural Networks in Computational Biology
💥Free recorded course by Prof. Marinka Zitnik
💥In this lecture, Prof. Marinka gives an overview of why graph learning techniques can greatly help with computational biology research. Concretely, this talk covers 3 exemplar use cases: (1) Discovering safe drug-drug combinations via multi-relational link prediction on heterogenous knowledge graphs; (2) Classify patient outcomes and diseases via learning subgraph embeddings; and (3) Learning effective disease treatments through few-shot learning for graphs.
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📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #GNN #Machine_Learning #computational_biology
💥Free recorded course by Prof. Marinka Zitnik
💥In this lecture, Prof. Marinka gives an overview of why graph learning techniques can greatly help with computational biology research. Concretely, this talk covers 3 exemplar use cases: (1) Discovering safe drug-drug combinations via multi-relational link prediction on heterogenous knowledge graphs; (2) Classify patient outcomes and diseases via learning subgraph embeddings; and (3) Learning effective disease treatments through few-shot learning for graphs.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #GNN #Machine_Learning #computational_biology
YouTube
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 18 - GNNs in Computational Biology
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/2XVImFC
Lecture 18 - Graph Neural Networks in Computational Biology
Jure Leskovec
Computer Science, PhD
We are glad to invite Prof.…
Lecture 18 - Graph Neural Networks in Computational Biology
Jure Leskovec
Computer Science, PhD
We are glad to invite Prof.…
👍5❤1👏1
👩🏫 Machine Learning and AI in Bioinformatics
💥Texas A&M University
👩💻 Course link
📲Channel: @Bioinformatics
#course #machine_learning #ai
💥Texas A&M University
👩💻 Course link
📲Channel: @Bioinformatics
#course #machine_learning #ai
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👩🏫 Models and algorithms for omics data analysis
💥Online recorded course from
School of Biotechnology
Institute of Science
Banaras Hindu University, Varanasi, India
👩💻 Course link
📲Channel: @Bioinformatics
#course #omics
💥Online recorded course from
School of Biotechnology
Institute of Science
Banaras Hindu University, Varanasi, India
👩💻 Course link
📲Channel: @Bioinformatics
#course #omics
👍8🔥3❤1
👩🏫 Single-Molecule & Spatial Sequencing: Methods & Applications (Spring 2025)
💥Online recorded course from Cornell University
👩💻 Course link
🎞 Recorded videos
📲Channel: @Bioinformatics
#video #course #sequencing #rna
💥Online recorded course from Cornell University
👩💻 Course link
🎞 Recorded videos
📲Channel: @Bioinformatics
#video #course #sequencing #rna
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