Yanagi

Yanagi is a software tool that improves the efficiency and flexibility of RNA sequencing (RNA-seq) data analysis. It introduces a transcriptome segmentation approach that decouples the tasks of pseudo-alignment and transcript quantification, which are typically coupled in ultra-fast pseudo-alignment methods.

Key features of Yanagi:

1. Generates maximal disjoint segments from a transcriptome reference library, enabling ultra-fast pseudo-alignment to produce per-sample segment counts.

2. Allows direct usage of pseudo-alignment results in alternative splicing and differential gene expression analyses without the need for a separate transcript quantification step.

3. Utilizes segment counts, similar to other methods relying on local coverage statistics, providing an advantage over transcript quantification-based approaches in detecting and estimating local splicing when dealing with incomplete transcript annotations.

4. Exploits the computational and space efficiency of pseudo-alignment approaches while expanding their applicability and interpretability in various RNA-seq analyses.

5. Models and captures local coverage variation in RNA-seq analyses by using the transcriptome segmentation approach.

Topic

RNA-Seq;RNA splicing;Transcriptomics

Detail

  • Operation: RNA-Seq quantification;Differential gene expression analysis;Expression analysis

  • Software interface: Command-line user interface

  • Language: R,Python

  • License: Not stated

  • Cost: Free of charge

  • Version name: v0.1

  • Credit: NSF, NIH, HCB, and MKG.

  • Input: -

  • Output: -

  • Contact: Héctor Corrada Bravo hcorrada@umiacs.umd.edu

  • Collection: -

  • Maturity: -

Publications

  • Yanagi: Fast and interpretable segment-based alternative splicing and gene expression analysis.
  • Gunady MK, et al. Yanagi: Fast and interpretable segment-based alternative splicing and gene expression analysis. Yanagi: Fast and interpretable segment-based alternative splicing and gene expression analysis. 2019; 20:421. doi: 10.1186/s12859-019-2947-6
  • https://doi.org/10.1186/S12859-019-2947-6
  • PMID: 31409274
  • PMC: PMC6693274

Download and documentation


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