π Current best practices in single-cell RNA-seq analysis: a tutorial
πJournal: Molecular Systems Biology (I.F.=11.429)
πPublish year: 2019
π Study the paper
π²Channel: @Bioinformatics
#tutorial #RNA_seq
πJournal: Molecular Systems Biology (I.F.=11.429)
πPublish year: 2019
π Study the paper
π²Channel: @Bioinformatics
#tutorial #RNA_seq
π9
πIntroduction to differential gene expression analysis using RNA-seq
π₯Workshop document from Weill Cornell Medical College
π Study
π²Channel: @Bioinformatics
#rna-seq
π₯Workshop document from Weill Cornell Medical College
π Study
π²Channel: @Bioinformatics
#rna-seq
π8β€4π2π₯1
πA Beginnerβs Guide to Analysis of RNA Sequencing Data
πJournal: American Journal of Respiratory Cell and Molecular Biology (I.F.=7.748)
πPublish year: 2018
π Study the paper
π²Channel: @Bioinformatics
#RNA_seq
πJournal: American Journal of Respiratory Cell and Molecular Biology (I.F.=7.748)
πPublish year: 2018
π Study the paper
π²Channel: @Bioinformatics
#RNA_seq
π1
π R Workshop: RNA-Seq From Raw to Processed Data
π½ Watch
π²Channel: @Bioinformatics
#video #workshop #rna-seq
π½ Watch
π²Channel: @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, weβre delighted to bring you Part 1 of a step-by-step RNA-seq data analysis workshop, in association with the BC Childrenβs Hospital Research Instituteβs Trainee Omics Group (TOG).
TOG is the resident graduate traineeβ¦
TOG is the resident graduate traineeβ¦
π24β€5
πInterpretation of differential gene expression results of RNA-seq data: review and integration
πJournal: Briefing in Bioinformatics (I.F.=13.994)
πPublish year: 2019
π Study the paper
π²Channel: @Bioinformatics
#review #gene_expression #rna_seq
πJournal: Briefing in Bioinformatics (I.F.=13.994)
πPublish year: 2019
π Study the paper
π²Channel: @Bioinformatics
#review #gene_expression #rna_seq
π₯9π2
Forwarded from Network Analysis Resources & Updates
π Co-expression network analysis using RNA-Seq data
π₯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 β College Park (June 15 2016).
πΉThis 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.
π½Watch
π±Channel: @ComplexNetworkAnalysis
#video #Co_expression_network #RNA_Seq
π₯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 β College Park (June 15 2016).
πΉThis 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.
π½Watch
π±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 provideβ¦
---------------
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 provideβ¦
π9β€3
πΉFind differentially expressed genes in your research
π₯A practical step-by-step tutorial
π Watch
π²Channel: @Bioinformatics
#video #rna_seq
π₯A practical step-by-step tutorial
π Watch
π²Channel: @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/artβ¦
And "PLOS ONE": https://journals.plos.org/plosone/artβ¦
π14π―3π1
π¨βπ« Analysis of single cell RNA-seq data
π₯Free online course from Sanger Institute
π Start reading
π²Channel: @Bioinformatics
#course #rna_seq
π₯Free online course from Sanger Institute
π Start reading
π²Channel: @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, butβ¦
π15β€3π1
πTemporal progress of gene expression analysis with RNA-Seq data: A review on the relationship between computational methods
πJournal: Computational and Structural Biotechnology Journal (I.F.= 6)
π Publish year: 2023
π§βπ»Authors: Juliana Costa-Silva, Douglas S. Domingues, David Menotti, ...
π’University: Federal University of ParanΓ‘, University of SΓ£o Paulo, Universidade TecnolΓ³gica Federal do ParanΓ‘ β UTFPR, Brzil
π Study the paper
π²Channel: @Bioinformatics
#review #rna_seq #gene_expression
πJournal: Computational and Structural Biotechnology Journal (I.F.= 6)
π Publish year: 2023
π§βπ»Authors: Juliana Costa-Silva, Douglas S. Domingues, David Menotti, ...
π’University: Federal University of ParanΓ‘, University of SΓ£o Paulo, Universidade TecnolΓ³gica Federal do ParanΓ‘ β UTFPR, Brzil
π Study the paper
π²Channel: @Bioinformatics
#review #rna_seq #gene_expression
π7β€1
π A Survey on Methods for Predicting Polyadenylation Sites from DNA Sequences, Bulk RNA-Seq, and Single-Cell RNA-Seq
πJournal: Genomics, Proteomics & Bioinformatics (GPB) (I.F.=9.5)
πPublish year: 2022
π§βπ»Authors: Wenbin Ye, Qiwei Lian, Congting Ye, Xiaohui Wu
π’University: Soochow University - Xiamen University, China
π Study the paper
π²Channel: @Bioinformatics
#review #Polyadenylation #RNA_Seq #Single_Cell
πJournal: Genomics, Proteomics & Bioinformatics (GPB) (I.F.=9.5)
πPublish year: 2022
π§βπ»Authors: Wenbin Ye, Qiwei Lian, Congting Ye, Xiaohui Wu
π’University: Soochow University - Xiamen University, China
π Study the paper
π²Channel: @Bioinformatics
#review #Polyadenylation #RNA_Seq #Single_Cell
π5β€4π1
π¦ 3 Days recorded workshop on from UCLA
π₯ RNA-seq I Analysis
β«οΈPart 1
β«οΈPart 2
β«οΈPart 3
π²Channel: @Bioinformatics
#video #rna_seq
π₯ RNA-seq I Analysis
β«οΈPart 1
β«οΈPart 2
β«οΈPart 3
π²Channel: @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 willβ¦
β€15π8π3π―1
π A guide to RNA sequencing and functional analysis
π Journal: Briefings in Bioinformatics (I.F.=6.8)
πPublish year: 2023
π§βπ»Authors: Jiung-Wen Chen, Lisa Shrestha, George Green, ...
π’University: University of Alabama at Birmingham, USA
π Study the paper
π²Channel: @Bioinformatics
#review #rna #rna_seq
π Journal: Briefings in Bioinformatics (I.F.=6.8)
πPublish year: 2023
π§βπ»Authors: Jiung-Wen Chen, Lisa Shrestha, George Green, ...
π’University: University of Alabama at Birmingham, USA
π Study the paper
π²Channel: @Bioinformatics
#review #rna #rna_seq
β€8π3π2π1
π Single-Cell RNA Sequencing Analysis: A Step-by-Step Overview
π₯Book chapter from Springer
π Study
π²Channel: @Bioinformatics
#bookchapter #single_cell #rna_seq
π₯Book chapter from Springer
π Study
π²Channel: @Bioinformatics
#bookchapter #single_cell #rna_seq
π8β€4π₯3π2