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June 24, 2024BMC Genomics27 citationsOpen Access

A comprehensive workflow for optimizing RNA-seq data analysis

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JGJiang GaoJZJuan-Yu ZhengSRShu-Ning Ren

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Abstract

Current RNA-seq analysis software for RNA-seq data tends to use similar parameters across different species without considering species-specific differences. However, the suitability and accuracy of these tools may vary when analyzing data from different species, such as humans, animals, plants, fungi, and bacteria. For most laboratory researchers lacking a background in information science, determining how to construct an analysis workflow that meets their specific needs from the array of complex analytical tools available poses a significant challenge.

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Cite This Study

Gao et al. (2024) studied this question.

synapsesocial.com/papers/68e637ebb6db6435875c960dhttps://doi.org/10.1186/s12864-024-10414-y
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1RNA‐Seq Data Analysis: A Practical Guide for Model and Non‐Model Organisms2024 · 2 citations
  2. 2The Workflow for Computational Analysis of Single-cell RNA-sequencing Data2024
  3. 3Streamline Protocol for Bulk‐RNA Sequencing: From Data Extraction to Expression Analysis2026
  4. 4The impact of package selection and versioning on single-cell RNA-seq analysis2024 · 35 citations
  5. 5A Dual Approach to Evaluate the Performance of RNA-Seq Data Analysis Pipelines with Weak Signals2026