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Hybrid De Novo Genome Assembly for the Generation of Complete Genomes of Urinary Bacteria using Short- and Long-read Sequencing Technologies
Published on: August 20, 2021
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MELC Genomics: A Framework for De Novo Genome Assembly
1Department of Computer Science, UFRJ, Rio de Janeiro , Brazil .
Summary
Next-generation sequencing generates vast data. MELC genomics offers a fast, simple bioinformatics framework for efficient genome assembly and analysis of this large-scale genomic information.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- Next-generation sequencing (NGS) platforms have dramatically increased genomic data generation capacity.
- Reduced costs of whole genome sequencing have improved accessibility to this technology.
- The surge in genomic data presents significant storage and analysis challenges.
Purpose of the Study:
- To introduce MELC genomics, a novel bioinformatics framework.
- To provide a simple and fast workflow for genome assembly.
Main Methods:
- Development of the MELC genomics framework.
- Implementation of a streamlined workflow for processing large genomic datasets.
Main Results:
- MELC genomics facilitates efficient genome assembly.
- The framework offers a simplified approach to handling large-scale genomic data.
Conclusions:
- MELC genomics addresses the challenges of big data in genomics.
- The framework enables faster and simpler genome assembly, supporting advancements in genomic research.
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