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Updated: Feb 28, 2026
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Targeted DNA Methylation Analysis by Next-generation Sequencing
Published on: February 24, 2015
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Development of Computer Algorithm for Editing of Next Generation Sequencing Metagenome Data
Radhika Khanna1, Sangeeta Mittal2, Sujata Mohanty1
11 Department of Biotechnology, Jaypee Institute of Information Technology , Noida, India .
Summary
Scientists developed computer algorithms to clean raw genomic data, removing errors before public submission. This aids molecular biologists in efficiently analyzing large datasets from next-generation sequencing technologies.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- Next-generation sequencing (NGS) generates vast genomic datasets, posing analysis challenges for molecular biologists.
- The
- Genomics project of Indian Drosophila species
- encountered 'N' strings (unresolved bases) in Illumina-generated sequences.
Purpose of the Study:
- To develop computer algorithms for editing raw genomic sequences.
- To eliminate ambiguous or 'bad' residues prior to data submission.
Main Methods:
- Development of algorithms using MATLAB and Python.
- Application of algorithms to edit raw whole genome sequences.
Main Results:
- Successful creation of algorithms for raw sequence data editing.
- Efficient removal of 'N' strings and other undesirable residues from genomic data.
Conclusions:
- The developed algorithms facilitate the pre-submission cleaning of large genomic datasets.
- These tools enhance the efficiency of biological data analysis for life scientists.
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