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Discussions around the article often emphasize its role as a foundational resource for RNA-seq data analysis. For example, several contributors remarked on its value for beginners, using phrases like 'best start for people who want to learn bulk transcriptomics,' which conveys the article's educational potential. Other posts mentioned its selection as one of the most accessed papers, reinforcing its high perceived impact in the scientific community.
The majority of discussions reflect strong agreement with the methodologies and findings presented in the article, highlighting their importance.
There is a high level of interest shown, with many contributors eager to explore the practices and techniques mentioned in the publication.
Engagement is somewhat moderate, with some posts providing examples and referring to specific methodologies without extensive discussion.
Many users believe this article will have a significant influence on best practices for RNA-seq analysis.
Start of the transcriptomics session at #gi2019. First speaker is @anaconesa who is the primary author (with @compBiology) of an influential review on best practices for RNA-seq: https://t.co/S0sJoFwBhK
@leon_anavy @flo_compbio @IgorUlitsky @RNASeqBlog This is a very good review by @anaconesa, @compBiology et al. https://t.co/S0sJoFeZTa
Wow! Our review 'A survey of best practices for RNA-seq data analysis' was chosen by @GenomeBiology as one of the 20 most-interesting/most-accessed papers of their first 20 years @ConesaLab @calizavi https://t.co/KGJKzIvYqY
There are some papers that you can learn new things each reading. Here is one such paper. I think this paper provides one of the best start for people who want to learn bulk transcriptomics. https://t.co/ajk4aUEDWu #RNASeqAnalysis #transcriptomics #Bioinformatics
A survey of best practices for RNA-seq data analysis | Genome Biology https://t.co/GJFb0BE8wE #RNAseq #bioinformtics https://t.co/LUWPElhyHq
@RamosNeuro A few on RNA vs Prot https://t.co/B2Dy6PwgPg https://t.co/M77ym7p9tD and on RNA seq interpret https://t.co/9w9BYlByyo
RNA-sequencing (RNA-seq) is a versatile tool for studying gene expression and requires a tailored analysis pipeline. This video explores essential steps in RNA-seq data analysis, addressing challenges and discussing…
This video provides a survey of best practices for RNA-seq data analysis, an essential tool for studying gene expression. It covers crucial steps from experimental design to functional analysis, while addressing…
RNA-sequencing (RNA-seq) is a versatile tool used for studying gene expression and requires a tailored analysis pipeline for different applications. This review covers essential steps in RNA-seq data analysis…
@BullCrys Start reading this? https://t.co/qkuqQuMd5q
RT @wintergenomics: Este estudio describe los pasos principales en el análisis de datos de #RNAseq: control de calidad, alineación de lectu…
Este estudio describe los pasos principales en el análisis de datos de #RNAseq: control de calidad, alineación de lecturas, cuantificación de los niveles de genes y transcritos, visualización, lmapeo de #eQTL entre otros. Info: https://t.co/ZGIaqs6PhV https://t.co/RZkhVrDgrc
@MoLOTSofScience You can look this links. https://t.co/iq3isRI5YF https://t.co/igUCcJGgsg Also, this paper is the best for the beginners https://t.co/ajk4aUEDWu
RT @burakkahveci_: There are some papers that you can learn new things each reading. Here is one such paper. I think this paper provides on…
RT @burakkahveci_: There are some papers that you can learn new things each reading. Here is one such paper. I think this paper provides on…
RT @burakkahveci_: There are some papers that you can learn new things each reading. Here is one such paper. I think this paper provides on…
RT @burakkahveci_: There are some papers that you can learn new things each reading. Here is one such paper. I think this paper provides on…
RT @burakkahveci_: There are some papers that you can learn new things each reading. Here is one such paper. I think this paper provides on…
There are some papers that you can learn new things each reading. Here is one such paper. I think this paper provides one of the best start for people who want to learn bulk transcriptomics. https://t.co/ajk4aUEDWu #RNASeqAnalysis #transcriptomics #Bioinformatics
@RamosNeuro A few on RNA vs Prot https://t.co/B2Dy6PwgPg https://t.co/M77ym7p9tD and on RNA seq interpret https://t.co/9w9BYlByyo
A survey of best practices for RNA-seq data analysis https://t.co/tRHHLmBM5D
RT @metapredict: 2016: claimed n=3 was ok for calculating differential expression (across 10's of thousands of rows https://t.co/DLPybPJWep…
2016: claimed n=3 was ok for calculating differential expression (across 10's of thousands of rows https://t.co/DLPybPJWep) As implausible as that general advice might seem, in 2022 now DEseq2 and edgeR don't seem to work very well. What a surprise. https://t.co/K646SkONuu
A survey of best practices for RNA-seq data analysis https://t.co/sa6X88WUBz
@tanjaslotte Maybe a little older but still useful https://t.co/1miOCbxFB0
RT @compBiology: Wow! Our review 'A survey of best practices for RNA-seq data analysis' was chosen by @GenomeBiology as one of the 20 most-…
Wow! Our review 'A survey of best practices for RNA-seq data analysis' was chosen by @GenomeBiology as one of the 20 most-interesting/most-accessed papers of their first 20 years @ConesaLab @calizavi https://t.co/KGJKzIvYqY
RT @CancerEvolution: A generic roadmap for RNA-seq computational analyses. The major analysis steps are listed above the lines for pre-anal…
A generic roadmap for RNA-seq computational analyses. The major analysis steps are listed above the lines for pre-analysis, core analysis and advanced analysis. Ref: A survey of best practices for RNA-seq data analysis (https://t.co/BSo3xrU0lU) #singlecell #rnaseq #scRNAseq https://t.co/Fp3meqFzJM
RT @bioinfo_mark: @bevthescientist Here’s a nice paper on best practices. Should get you going in the right direction. I’m also happy to…
@bevthescientist Here’s a nice paper on best practices. Should get you going in the right direction. I’m also happy to help. https://t.co/2DSLBRFxvj
RT @lpachter: Start of the transcriptomics session at #gi2019. First speaker is @anaconesa who is the primary author (with @compBiology) of…
RT @lpachter: Start of the transcriptomics session at #gi2019. First speaker is @anaconesa who is the primary author (with @compBiology) of…
https://t.co/T4VNBBfqGo A survey of best practices for RNA-seq data analysis | Genome Biology | Full Text https://t.co/QW9KEqdtZ9 RNA-sequencing (RNA-seq) has a wide variety of applications, but no single analysis pipeline can be used in all cases. We review all of th…
https://t.co/rv12ewG5Um The Tweeted Times - personal newspaper generated from your Twitter account https://t.co/58icWrgPSa posted by friends: (1) garrymyers: Top RNomics #tweeted story: A survey of best practices for RNA-seq data analysis | Genome Biology | Full Text genom…
Top #tweeted story in #bioscience: A survey of best practices for RNA-seq data analysis | Genome Biology | Full Text https://t.co/nPNEzcRqbk, see more https://t.co/kME3G1o122
RT @lpachter: Start of the transcriptomics session at #gi2019. First speaker is @anaconesa who is the primary author (with @compBiology) of…
Top @RNomics #tweeted story: A survey of best practices for RNA-seq data analysis | Genome Biology | Full Text https://t.co/nPNEzcRqbk, see more https://t.co/mx2YzvfCax
RT @lpachter: Start of the transcriptomics session at #gi2019. First speaker is @anaconesa who is the primary author (with @compBiology) of…
A survey of best practices for RNA-seq data analysis | Genome Biology | Full Text https://t.co/T4VNBBfqGo https://t.co/QW9KEqdtZ9 RNA-sequencing (RNA-seq) has a wide variety of applications, but no single analysis pipeline can be used in all cases. We review all of th…
RT @lpachter: Start of the transcriptomics session at #gi2019. First speaker is @anaconesa who is the primary author (with @compBiology) of…
RT @lpachter: Start of the transcriptomics session at #gi2019. First speaker is @anaconesa who is the primary author (with @compBiology) of…
RT @lpachter: Start of the transcriptomics session at #gi2019. First speaker is @anaconesa who is the primary author (with @compBiology) of…
RT @lpachter: Start of the transcriptomics session at #gi2019. First speaker is @anaconesa who is the primary author (with @compBiology) of…
RT @lpachter: Start of the transcriptomics session at #gi2019. First speaker is @anaconesa who is the primary author (with @compBiology) of…
RT @lpachter: Start of the transcriptomics session at #gi2019. First speaker is @anaconesa who is the primary author (with @compBiology) of…
RT @lpachter: Start of the transcriptomics session at #gi2019. First speaker is @anaconesa who is the primary author (with @compBiology) of…
RT @lpachter: Start of the transcriptomics session at #gi2019. First speaker is @anaconesa who is the primary author (with @compBiology) of…
RT @lpachter: Start of the transcriptomics session at #gi2019. First speaker is @anaconesa who is the primary author (with @compBiology) of…
RT @lpachter: Start of the transcriptomics session at #gi2019. First speaker is @anaconesa who is the primary author (with @compBiology) of…
RT @lpachter: Start of the transcriptomics session at #gi2019. First speaker is @anaconesa who is the primary author (with @compBiology) of…
Start of the transcriptomics session at #gi2019. First speaker is @anaconesa who is the primary author (with @compBiology) of an influential review on best practices for RNA-seq: https://t.co/S0sJoFwBhK
RT @BioDecoded: A survey of best practices for RNA-seq data analysis | Genome Biology https://t.co/GJFb0BE8wE #RNAseq #bioinformtics https…
A survey of best practices for RNA-seq data analysis | Genome Biology https://t.co/GJFb0BE8wE #RNAseq #bioinformtics https://t.co/LUWPElhyHq
@SecondRatMom Off the top of my head, table 1 of this paper, which compares fold-change and power. https://t.co/MizmGVoZSa
RT @lpachter: @leon_anavy @flo_compbio @IgorUlitsky @RNASeqBlog This is a very good review by @anaconesa, @compBiology et al. https://t.co…
RT @lpachter: @leon_anavy @flo_compbio @IgorUlitsky @RNASeqBlog This is a very good review by @anaconesa, @compBiology et al. https://t.co…
RT @lpachter: @leon_anavy @flo_compbio @IgorUlitsky @RNASeqBlog This is a very good review by @anaconesa, @compBiology et al. https://t.co…
RT @lpachter: @leon_anavy @flo_compbio @IgorUlitsky @RNASeqBlog This is a very good review by @anaconesa, @compBiology et al. https://t.co…
RT @lpachter: @leon_anavy @flo_compbio @IgorUlitsky @RNASeqBlog This is a very good review by @anaconesa, @compBiology et al. https://t.co…
@leon_anavy @flo_compbio @IgorUlitsky @RNASeqBlog This is a very good review by @anaconesa, @compBiology et al. https://t.co/S0sJoFeZTa
A survey of best practices for RNA-seq data analysis https://t.co/FsneqQ9XM4
A cornerstone for RNA-seq data analyses!! A survey of best practices for RNA-seq data analysis https://t.co/n6DnTVij59
RT @jmirobla: If you want to perform an RNAseq experiment properly, worth to check this review on best practices from @conesagroup @anacone…
RT @jmirobla: If you want to perform an RNAseq experiment properly, worth to check this review on best practices from @conesagroup @anacone…