LRScaf
LRScaf (Long Reads Scaffolder) is a scalable and computationally efficient software tool to improve the contiguity of draft genome assemblies by utilizing long reads generated from third-generation sequencing (TGS) technologies. It aims to enhance the quality of fragmented assemblies initially constructed using next-generation sequencing (NGS) technologies.
In a comprehensive performance assessment, LRScaf demonstrated its ability to significantly boost assembly contiguity across various organisms, ranging from bacteria to large eukaryotic genomes. It outperformed other state-of-the-art scaffolders in terms of contiguity improvement, as measured by the NGA50 metric, on several organisms such as Arabidopsis thaliana, Solanum pennellii, Zea mays, and Homo sapiens.
Topic
Sequencing;Sequence assembly;Mapping;Plant biology
Detail
Operation: Genome assembly;De-novo assembly;Scaffolding
Software interface: Command-line interface
Language: Java
License: Not stated
Cost: Free of charge
Version name: 1.1.10
Credit: The Dapeng New District Special Fund for Industrial Development, the National Key Research and Development Program of China, the National Natural Science Foundation of China, the Fundamental Research Funds for Central Non-profit Scientific Institution, the Fund of Key Laboratory of Shenzhen, the Agricultural Science and Technology Innovation Program, the Shenzhen Science and Technology Research Funding, the Key Forestry Public Welfare Project, the Agricultural Science and Technology Innovation Program Cooperation and Innovation Mission.
Input: -
Output: -
Contact: Jue Ruan ruanjue@caas.cn
Collection: -
Maturity: -
Publications
- LRScaf: improving draft genomes using long noisy reads.
- Qin M, et al. LRScaf: improving draft genomes using long noisy reads. LRScaf: improving draft genomes using long noisy reads. 2019; 20:955. doi: 10.1186/s12864-019-6337-2
- https://doi.org/10.1186/S12864-019-6337-2
- PMID: 31818249
- PMC: PMC6902338
Download and documentation
Source: https://github.com/shingocat/lrscaf/releases/tag/1.1.10
Documentation: https://github.com/shingocat/lrscaf/blob/master/README.md
Home page: https://github.com/shingocat/lrscaf
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