Synopsis of Social media discussions
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.
Agreement
Neither agree nor disagreeMost discussions acknowledge the usefulness of the grandR package but do not express strong opinions, indicating a neutral stance overall.
Interest
Moderate level of interestThe posts show a modest level of curiosity, focusing on technical aspects and potential applications without deep enthusiasm.
Engagement
Moderate level of engagementDiscussions mention key points like the importance of nucleotide conversion methods and RNA dynamics, suggesting a moderate level of engagement with the topic.
Impact
Moderate level of impactThe conversation implies some relevance in advancing RNA-seq analysis, though it remains primarily informational without explicit calls to action or widespread influence.
Social Mentions
YouTube
1 Videos
3 Posts
Metrics
Video Views
42
Total Likes
4
Extended Reach
2,982
Social Features
4
Timeline: Posts about article
Top Social Media Posts
Posts referencing the article
grandR: Comprehensive RNA-seq Data Analysis for Nucleotide Conversion Techniques
grandR is a software package for analyzing RNAseq data from nucleotide conversion experiments, including quality control, differential expression, kinetic modeling, and visualization, with a focus on accurately understanding RNA metabolism dynamics.
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grandR: a comprehensive package for nucleotide conversion RNA-seq data analysis|Ikemen Mas Kot @HandsomeKinoko #note https://t.co/LkAlzWKHyO
view full postJuly 4, 2023
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田舎者(天草地方出身者)
@imoame0801 (Twitter)RT @RnaseqS: grandR: a comprehensive package for nucleotide conversion RNA-seq data analysis: Metabolic labeling of RNA is a powerful techn…
view full postJune 19, 2023
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RNAseq_software
@RnaseqS (Twitter)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
view full postJune 19, 2023
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Abstract Synopsis
- 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.]
Ikemen
@HandsomeKinoko (Twitter)