📖 Current best practices in single-cell RNA-seq analysis: a tutorial
📘Journal: Molecular Systems Biology (I.F.=11.429)
🗓Publish year: 2019
📎 Study the paper
📲Channel: @Bioinformatics
#tutorial #RNA_seq
📘Journal: Molecular Systems Biology (I.F.=11.429)
🗓Publish year: 2019
📎 Study the paper
📲Channel: @Bioinformatics
#tutorial #RNA_seq
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📄Introduction to differential gene expression analysis using RNA-seq
💥Workshop document from Weill Cornell Medical College
🌐 Study
📲Channel: @Bioinformatics
#rna-seq
💥Workshop document from Weill Cornell Medical College
🌐 Study
📲Channel: @Bioinformatics
#rna-seq
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📑A Beginner’s Guide to Analysis of RNA Sequencing Data
📘Journal: American Journal of Respiratory Cell and Molecular Biology (I.F.=7.748)
🗓Publish year: 2018
📎 Study the paper
📲Channel: @Bioinformatics
#RNA_seq
📘Journal: American Journal of Respiratory Cell and Molecular Biology (I.F.=7.748)
🗓Publish year: 2018
📎 Study the paper
📲Channel: @Bioinformatics
#RNA_seq
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🎞 R Workshop: RNA-Seq From Raw to Processed Data
📽 Watch
📲Channel: @Bioinformatics
#video #workshop #rna-seq
📽 Watch
📲Channel: @Bioinformatics
#video #workshop #rna-seq
YouTube
R Workshop Series Part 1 - RNA-Seq: From Raw to Processed Data
As part of GrasPods Welcome Week 2021, we’re delighted to bring you Part 1 of a step-by-step RNA-seq data analysis workshop, in association with the BC Children’s Hospital Research Institute’s Trainee Omics Group (TOG).
TOG is the resident graduate trainee…
TOG is the resident graduate trainee…
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📑Interpretation of differential gene expression results of RNA-seq data: review and integration
📘Journal: Briefing in Bioinformatics (I.F.=13.994)
🗓Publish year: 2019
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📲Channel: @Bioinformatics
#review #gene_expression #rna_seq
📘Journal: Briefing in Bioinformatics (I.F.=13.994)
🗓Publish year: 2019
📎 Study the paper
📲Channel: @Bioinformatics
#review #gene_expression #rna_seq
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Forwarded from Network Analysis Resources & Updates
🎞 Co-expression network analysis using RNA-Seq data
💥Free recorded tutorial on Co-expression network analysis using RNA-Seq data presented at the ISCB DC Regional Student Group Workshop at the University of Maryland – College Park (June 15 2016).
🔹This tutorial provide a simple overview of co-expression network analysis, with an emphasis on the use of RNA-Seq data.A motivation for the use of co-expression network analysis is provided and compared to other common types of RNA-Seq analyses such as differential expression analysis and gene set enrichment analysis. The use of adjacency matrices to represent networks is explored for several different types of networks and a small synthetic dataset is used to demonstrate each of the major steps in co-expression network construction and module detection. The tutorial portion of the presentation then applies some of these principles using a real dataset containing ~3000 genes, after filtering.
📽Watch
📱Channel: @ComplexNetworkAnalysis
#video #Co_expression_network #RNA_Seq
💥Free recorded tutorial on Co-expression network analysis using RNA-Seq data presented at the ISCB DC Regional Student Group Workshop at the University of Maryland – College Park (June 15 2016).
🔹This tutorial provide a simple overview of co-expression network analysis, with an emphasis on the use of RNA-Seq data.A motivation for the use of co-expression network analysis is provided and compared to other common types of RNA-Seq analyses such as differential expression analysis and gene set enrichment analysis. The use of adjacency matrices to represent networks is explored for several different types of networks and a small synthetic dataset is used to demonstrate each of the major steps in co-expression network construction and module detection. The tutorial portion of the presentation then applies some of these principles using a real dataset containing ~3000 genes, after filtering.
📽Watch
📱Channel: @ComplexNetworkAnalysis
#video #Co_expression_network #RNA_Seq
YouTube
DC ISCB Workshop 2016 - Co-expression network analysis using RNA-Seq data (Keith Hughitt)
Overview
---------------
Tutorial on Co-expression network analysis using RNA-Seq data presented at the ISCB DC Regional Student Group Workshop at the University of Maryland - College Park (June 15 2016).
Abstract
--------------
In this presentation, I provide…
---------------
Tutorial on Co-expression network analysis using RNA-Seq data presented at the ISCB DC Regional Student Group Workshop at the University of Maryland - College Park (June 15 2016).
Abstract
--------------
In this presentation, I provide…
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📹Find differentially expressed genes in your research
💥A practical step-by-step tutorial
🎞 Watch
📲Channel: @Bioinformatics
#video #rna_seq
💥A practical step-by-step tutorial
🎞 Watch
📲Channel: @Bioinformatics
#video #rna_seq
YouTube
How to analyze RNA-Seq data? Find differentially expressed genes in your research.
If you benefit from my tutorial and use the same strategy for data analysis, please CITE my RNA-Seq paper published in "Scientific Reports - Nature": https://www.nature.com/articles/s41598-017-16603-y
And "PLOS ONE": https://journals.plos.org/plosone/art…
And "PLOS ONE": https://journals.plos.org/plosone/art…
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👨🏫 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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📃Temporal progress of gene expression analysis with RNA-Seq data: A review on the relationship between computational methods
📔Journal: Computational and Structural Biotechnology Journal (I.F.= 6)
🗓 Publish year: 2023
🧑💻Authors: Juliana Costa-Silva, Douglas S. Domingues, David Menotti, ...
🏢University: Federal University of Paraná, University of São Paulo, Universidade Tecnológica Federal do Paraná – UTFPR, Brzil
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📲Channel: @Bioinformatics
#review #rna_seq #gene_expression
📔Journal: Computational and Structural Biotechnology Journal (I.F.= 6)
🗓 Publish year: 2023
🧑💻Authors: Juliana Costa-Silva, Douglas S. Domingues, David Menotti, ...
🏢University: Federal University of Paraná, University of São Paulo, Universidade Tecnológica Federal do Paraná – UTFPR, Brzil
📎 Study the paper
📲Channel: @Bioinformatics
#review #rna_seq #gene_expression
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📄 A Survey on Methods for Predicting Polyadenylation Sites from DNA Sequences, Bulk RNA-Seq, and Single-Cell RNA-Seq
📕Journal: Genomics, Proteomics & Bioinformatics (GPB) (I.F.=9.5)
🗓Publish year: 2022
🧑💻Authors: Wenbin Ye, Qiwei Lian, Congting Ye, Xiaohui Wu
🏢University: Soochow University - Xiamen University, China
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📲Channel: @Bioinformatics
#review #Polyadenylation #RNA_Seq #Single_Cell
📕Journal: Genomics, Proteomics & Bioinformatics (GPB) (I.F.=9.5)
🗓Publish year: 2022
🧑💻Authors: Wenbin Ye, Qiwei Lian, Congting Ye, Xiaohui Wu
🏢University: Soochow University - Xiamen University, China
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📲Channel: @Bioinformatics
#review #Polyadenylation #RNA_Seq #Single_Cell
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📦 3 Days recorded workshop on from UCLA
💥 RNA-seq I Analysis
▫️Part 1
▫️Part 2
▫️Part 3
📲Channel: @Bioinformatics
#video #rna_seq
💥 RNA-seq I Analysis
▫️Part 1
▫️Part 2
▫️Part 3
📲Channel: @Bioinformatics
#video #rna_seq
YouTube
W5a: RNA-seq I Analysis - Day 1
RNA-seq I aims to provide an introduction and the basics tools to process raw RNA-seq data on a cluster machine (Hoffman2). The workshop can serve also as a starting point to develop a gene expression project. This workshop is divided in three days that will…
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📑 A guide to RNA sequencing and functional analysis
📔 Journal: Briefings in Bioinformatics (I.F.=6.8)
🗓Publish year: 2023
🧑💻Authors: Jiung-Wen Chen, Lisa Shrestha, George Green, ...
🏢University: University of Alabama at Birmingham, USA
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📲Channel: @Bioinformatics
#review #rna #rna_seq
📔 Journal: Briefings in Bioinformatics (I.F.=6.8)
🗓Publish year: 2023
🧑💻Authors: Jiung-Wen Chen, Lisa Shrestha, George Green, ...
🏢University: University of Alabama at Birmingham, USA
📎 Study the paper
📲Channel: @Bioinformatics
#review #rna #rna_seq
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📚 Single-Cell RNA Sequencing Analysis: A Step-by-Step Overview
💥Book chapter from Springer
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📲Channel: @Bioinformatics
#bookchapter #single_cell #rna_seq
💥Book chapter from Springer
📎 Study
📲Channel: @Bioinformatics
#bookchapter #single_cell #rna_seq
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🎥How to find Differentially Expressed Genes (DEGs) from RNA-seq Gene Expression Data with R
🎞 Watch
📲Channel: @Bioinformatics
#video #deg #rna_seq #gene #r
🎞 Watch
📲Channel: @Bioinformatics
#video #deg #rna_seq #gene #r
YouTube
How to find Differentially Expressed Genes (DEGs) from RNA-seq Gene Expression Data | R-studio
"Revolutionize your RNA-seq data analysis skills with this ultimate hands-on tutorial! Learn how to create stunning PCA plots, interpret heatmaps, and master the art of differential gene expression analysis using DESeq2—all in R-Studio. This video takes you…
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🎬 Bioinformatics & Genomics: From Data Analysis to AI Applications
💥 Recorded workshop from the university of Arizona
🎞 Watch
🖥 Github Wiki
📲Channel: @Bioinformatics
#video #workshop #rna_seq #r #ai #ppi
💥 Recorded workshop from the university of Arizona
🎞 Watch
🖥 Github Wiki
📲Channel: @Bioinformatics
#video #workshop #rna_seq #r #ai #ppi
YouTube
Bioinformatics & Genomics: From Data Analysis to AI Applications: Downstream Analysis of RNA-Seq PPI
Building on the foundation of identifying differentially expressed genes (DEGs) in the previous workshop, it's time to unlock the biological meaning behind those findings. In this session, we'll dive into powerful downstream analyses to uncover the rich insights…
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📜 Building Machine Learning Clustering Models for Gene Expression RNA-Seq Data
💥Technical paper in python
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📲Channel: @Bioinformatics
#python #clustering #gene_expression #rna_seq
💥Technical paper in python
📎 Study
📲Channel: @Bioinformatics
#python #clustering #gene_expression #rna_seq
Medium
Building Machine Learning Clustering Models for Gene Expression RNA-Seq Data
1. Introduction
2. Using Clustering Algorithms in Bioinformatics
3. Cancer Gene Expression RNA-Seq Dataset
4. K-Means Clustering Evaluation…
2. Using Clustering Algorithms in Bioinformatics
3. Cancer Gene Expression RNA-Seq Dataset
4. K-Means Clustering Evaluation…
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🎥 RNA-Seq Data Analysis in R: An Effective Step-by-Step Guide
🎞 Watch
📲Channel: @Bioinformatics
#video #rna_seq #r
🎞 Watch
📲Channel: @Bioinformatics
#video #rna_seq #r
YouTube
RNA-Seq Data Analysis in R: An Effective Step-by-Step Guide
🧬 RNAseq Batch 6: GO and KEGG Pathway Enrichment Analysis in R – Complete Tutorial
In this hands-on session, you'll learn how to perform Gene Ontology (GO) and KEGG Pathway Enrichment Analysis in R using popular packages like clusterProfiler, org.Hs.eg.db…
In this hands-on session, you'll learn how to perform Gene Ontology (GO) and KEGG Pathway Enrichment Analysis in R using popular packages like clusterProfiler, org.Hs.eg.db…
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