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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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Related Experiment Video

Updated: May 15, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

NGSUtils: a software suite for analyzing and manipulating next-generation sequencing datasets.

Marcus R Breese¹, Yunlong Liu

¹Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.

Bioinformatics (Oxford, England)

|January 15, 2013

Summary

This summary is machine-generated.

NGSUtils offers a suite of software tools for next-generation sequencing data manipulation. This platform provides stable and modular solutions for managing and analyzing FASTQ, BED, and BAM files.

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Last Updated: May 15, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

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Published on: April 11, 2016

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Targeted DNA Methylation Analysis by Next-generation Sequencing

Targeted DNA Methylation Analysis by Next-generation Sequencing

Published on: February 24, 2015

Area of Science:

Bioinformatics
Computational Biology

Background:

Next-generation sequencing (NGS) generates large, complex datasets.
Efficient data manipulation is crucial for NGS analysis.

Purpose of the Study:

To introduce NGSUtils, a software suite for NGS data.
To provide a stable and modular platform for data management and analysis.

Main Methods:

NGSUtils is a collection of software tools.
It handles common NGS data formats like FASTQ, BED, and BAM.

Main Results:

NGSUtils facilitates data manipulation for NGS experiments.
The tools offer a robust framework for data processing.

Conclusions:

NGSUtils provides essential tools for NGS data management.
It supports efficient analysis workflows in bioinformatics.