minnow
Minnow is a comprehensive simulation framework for droplet-based single-cell RNA-sequencing (dscRNA-seq) experiments that generates realistic sequence-level data. It models various aspects of the experimental process, such as PCR amplification, cellular barcodes, unique molecular identifiers (UMIs), sequence fragmentation, and sequencing. Minnow also incorporates gene-level ambiguity characteristics observed in real scRNA-seq datasets. The tool allows researchers to assess the performance of different processing pipelines that generate gene-by-cell count matrices from raw dscRNA-seq data. By simulating realistic datasets, minnow helps evaluate the impact of factors such as read alignment and UMI deduplication methods on accurate quantification, which are often overlooked when using simulated count matrices.
Topic
PCR experiment;Gene transcripts;RNA-Seq
Detail
Operation: Quantification;De-novo assembly;Expression analysis
Software interface: Command-line interface
Language: C++
License: Not stated
Cost: Free of charge
Version name: beta_1.3
Credit: NSF, the Chan Zuckerberg Initiative DAF, an advised fund of Silicon Valley Community Foundation.
Input: -
Output: -
Contact: Rob Patro rob.patro@cs.stonybrook.edu
Collection: -
Maturity: -
Publications
- Minnow: a principled framework for rapid simulation of dscRNA-seq data at the read level.
- Sarkar H, et al. Minnow: a principled framework for rapid simulation of dscRNA-seq data at the read level. Minnow: a principled framework for rapid simulation of dscRNA-seq data at the read level. 2019; 35:i136-i144. doi: 10.1093/bioinformatics/btz351
- https://doi.org/10.1093/bioinformatics/btz351
- PMID: 31510649
- PMC: PMC6612833
Download and documentation
Source: https://github.com/COMBINE-lab/minnow/releases/tag/beta_1.3
Documentation: https://github.com/COMBINE-lab/minnow/blob/minnow-velocity/README.md
Home page: https://github.com/COMBINE-lab/minnow
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