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Targeted DNA Methylation Analysis by Next-generation Sequencing
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PVT: an efficient computational procedure to speed up next-generation sequence analysis.

Ranjan Kumar Maji, Arijita Sarkar, Sunirmal Khatua

  • 1Bioinformatics Centre, Bose Institute, Kolkata 700054, India. zhumur@jcbose.ac.in.

BMC Bioinformatics
|June 5, 2014
PubMed
Summary
This summary is machine-generated.

A new method, Pipelined Version of TopHat (PVT), improves Next-Generation Sequencing (NGS) data analysis by optimizing spliced alignment. PVT enhances computational resource utilization and significantly reduces analysis time for both single and paired-end reads.

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Area of Science:

  • Genomics and Molecular Biology
  • Bioinformatics
  • Computational Biology

Background:

  • High-throughput Next-Generation Sequencing (NGS) generates massive datasets, posing challenges for efficient analysis.
  • Spliced alignment is a critical yet computationally intensive step in NGS data analysis.
  • Existing tools like TopHat have limitations in CPU and memory utilization.

Purpose of the Study:

  • To develop an efficient solution for analyzing large NGS datasets.
  • To address the computational inefficiencies of existing spliced alignment tools.
  • To improve resource utilization and reduce execution time for NGS data analysis.

Main Methods:

  • Introduced Pipelined Version of TopHat (PVT), a modular approach to break down TopHat's serial execution.
  • Implemented a pipeline of multiple stages to increase parallelization and resource utilization.
  • Analyzed SRA datasets (SRX026839, SRX026838, SRR1027730) to evaluate PVT's performance against TopHat v2.0.8.

Main Results:

  • PVT demonstrated improved CPU and memory utilization compared to TopHat.
  • Execution time was reduced by approximately 23% for single-end reads.
  • Execution time was reduced by approximately 41% for paired-end reads.

Conclusions:

  • PVT offers a significant improvement over TopHat for spliced alignment in NGS data analysis.
  • The proposed PVT-Cloud extends PVT's capabilities to cloud computing environments.
  • PVT provides a more efficient and time-effective solution for analyzing large-scale genomic data.