Bioinformatics
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Bioinformatics, Computational Biology & Systems Biology

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πŸ“– Current best practices in single-cell RNA-seq analysis: a tutorial

πŸ“˜Journal: Molecular Systems Biology (I.F.=11.429)
πŸ—“Publish year: 2019

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#tutorial #RNA_seq
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πŸ“„Introduction to differential gene expression analysis using RNA-seq
πŸ’₯Workshop document from Weill Cornell Medical College

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#rna-seq
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πŸ“‘A Beginner’s Guide to Analysis of RNA Sequencing Data

πŸ“˜Journal: American Journal of Respiratory Cell and Molecular Biology (I.F.=7.748)
πŸ—“Publish year: 2018

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#RNA_seq
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πŸ“‘Interpretation of differential gene expression results of RNA-seq data: review and integration

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Journal: Briefing in Bioinformatics (I.F.=13.994)
πŸ—“Publish year: 2019

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#review #gene_expression #rna_seq
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🎞 Co-expression network analysis using RNA-Seq data

πŸ’₯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).
πŸ”ΉThis 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.

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πŸ“±Channel: @ComplexNetworkAnalysis

#video #Co_expression_network #RNA_Seq
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πŸ“ƒTemporal progress of gene expression analysis with RNA-Seq data: A review on the relationship between computational methods

πŸ“”Journal: Computational and Structural Biotechnology Journal (I.F.= 6)
πŸ—“ Publish year: 2023

πŸ§‘β€πŸ’»Authors: Juliana Costa-Silva, Douglas S. Domingues, David Menotti, ...
🏒University: Federal University of ParanΓ‘, University of SΓ£o Paulo, Universidade TecnolΓ³gica Federal do ParanΓ‘ – UTFPR, Brzil

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#review #rna_seq #gene_expression
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πŸ“„ A Survey on Methods for Predicting Polyadenylation Sites from DNA Sequences, Bulk RNA-Seq, and Single-Cell RNA-Seq

πŸ“•Journal: Genomics, Proteomics & Bioinformatics (GPB) (I.F.=9.5)
πŸ—“Publish year: 2022

πŸ§‘β€πŸ’»Authors: Wenbin Ye, Qiwei Lian, Congting Ye, Xiaohui Wu
🏒University: Soochow University - Xiamen University, China

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#review #Polyadenylation #RNA_Seq #Single_Cell
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πŸ“‘ A guide to RNA sequencing and functional analysis

πŸ“” Journal: Briefings in Bioinformatics (I.F.=6.8)
πŸ—“Publish year: 2023

πŸ§‘β€πŸ’»Authors: Jiung-Wen Chen, Lisa Shrestha, George Green, ...
🏒University: University of Alabama at Birmingham, USA

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#review #rna #rna_seq
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πŸ“š Single-Cell RNA Sequencing Analysis: A Step-by-Step Overview
πŸ’₯Book chapter from Springer

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#bookchapter #single_cell #rna_seq
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