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RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
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Detection of Targetable Alterations in Non-small Cell Lung Cancer using Next-generation Sequencing

Detection of Targetable Alterations in Non-small Cell Lung Cancer using Next-generation Sequencing

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OTP: An automatized system for managing and processing NGS data.

Eva Reisinger¹, Lena Genthner², Jules Kerssemakers²

¹Department of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Germany; Heidelberg Center for Personalized Oncology, DKFZ-HIPO, DKFZ, Heidelberg, Germany.

Journal of Biotechnology

|August 15, 2017

Summary

This summary is machine-generated.

The One Touch Pipeline (OTP) automates Next-Generation Sequencing (NGS) data processing, reducing manual effort and analysis time. This platform streamlines bioinformatic workflows for efficient genomic event identification.

Keywords:

Automation Data management Data processing Next-generation sequencing Standardization User interface

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Area of Science:

Bioinformatics
Genomics
Computational Biology

Background:

Next-Generation Sequencing (NGS) generates large datasets requiring efficient management and analysis.
Current bioinformatic workflows can be time-consuming and resource-intensive.
A need exists for integrated platforms to handle NGS data from import to analysis.

Purpose of the Study:

To introduce the One Touch Pipeline (OTP) as an automated platform for NGS data management and bioinformatic pipeline execution.
To reduce human resources and accelerate the time to sequence analysis.
To establish a centralized, secure system for storing and accessing NGS data and metadata.

Main Methods:

OTP functions as both an information center and a workflow management system.
It automates the digital process from raw sequence data import to alignment and genomic event identification.
The platform integrates a database for metadata and a structured file system, enabling automated pipeline execution.

Main Results:

OTP successfully automates the management and processing of NGS data.
It significantly reduces the need for manual intervention in data handling.
The platform enhances the speed and reliability of bioinformatic analyses.

Conclusions:

OTP provides an automated, scalable solution for NGS data processing and bioinformatic pipeline execution.
The platform achieves its goals of reducing resource requirements and analysis time.
OTP serves as a comprehensive information center and workflow management system for genomic data.