Nat Commun June 2023 PMID 37321987

grandR: a comprehensive package for nucleotide conversion RNA-seq data analysis.

Teresa Rummel, Lygeri Sakellaridi, Florian Erhard

Mentions

4
Peak: 2 in Jun 2023
across 2 sources since Jun 2023

Extended reach

2,982
potential audience

Total likes

4

Video views

42

Mentions per month

Jun 2023 – Sep 2023

Where it's discussed

  • X / Twitter3 posts
  • YouTube1 videos

AI synopsis

What people are saying

The posts highlight key features of the publication, such as the package’s ability to analyze RNA dynamics through nucleotide conversion, with terminology like 'powerful technique' and 'comprehensive package.' The tone is informative and neutral, reflecting a general interest but not a high level of passionate engagement.

AgreementNeither agree nor disagree

Most discussions acknowledge the usefulness of the grandR package but do not express strong opinions, indicating a neutral stance overall.

InterestModerate interest

The posts show a modest level of curiosity, focusing on technical aspects and potential applications without deep enthusiasm.

EngagementModerate engagement

Discussions mention key points like the importance of nucleotide conversion methods and RNA dynamics, suggesting a moderate level of engagement with the topic.

ImpactModerate impact

The conversation implies some relevance in advancing RNA-seq analysis, though it remains primarily informational without explicit calls to action or widespread influence.

Abstract in brief

  • grandR is a comprehensive software package designed to analyze RNAseq data from nucleotide conversion experiments, covering quality control, differential gene expression, kinetic modeling, and visualization.
  • It addresses the challenges introduced by nucleotide conversion methods in studying RNA metabolism by comparing existing inference techniques and emphasizing the importance of recalibrating labeling times.
  • The package incorporates a Bayesian approach to better understand RNA dynamics from snapshot experiments, which are single-time-point measurements, providing more accurate insights into RNA synthesis and decay rates over time.]

Top posts

Most liked on X and Bluesky
RNAseq_software
@RnaseqS · X

grandR: a comprehensive package for nucleotide conversion RNA-seq data analysis: Metabolic labeling of RNA is a powerful technique for studying the temporal dynamics of gene expression. Nucleotide conversion approaches greatly facilitate the generation… https://t.co/BjS3UjaxMW

Jun 19, 2023 · 4 likes · 2 shares · 313 followers View post →
田舎者(天草地方出身者)
@imoame0801 · X

RT @RnaseqS: grandR: a comprehensive package for nucleotide conversion RNA-seq data analysis: Metabolic labeling of RNA is a powerful techn…

Jun 19, 2023 · 2 shares · 1,346 followers View post →

All mentions

Ikemen
@HandsomeKinoko · X

grandR: a comprehensive package for nucleotide conversion RNA-seq data analysis|Ikemen Mas Kot @HandsomeKinoko #note https://t.co/LkAlzWKHyO

Jul 4, 2023 · 1,273 followers View post →
田舎者(天草地方出身者)
@imoame0801 · X

RT @RnaseqS: grandR: a comprehensive package for nucleotide conversion RNA-seq data analysis: Metabolic labeling of RNA is a powerful techn…

Jun 19, 2023 · 2 shares · 1,346 followers View post →
RNAseq_software
@RnaseqS · X

grandR: a comprehensive package for nucleotide conversion RNA-seq data analysis: Metabolic labeling of RNA is a powerful technique for studying the temporal dynamics of gene expression. Nucleotide conversion approaches greatly facilitate the generation… https://t.co/BjS3UjaxMW

Jun 19, 2023 · 4 likes · 2 shares · 313 followers View post →