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Cost-Efficient Transcriptomic-Based Drug Screening

Cost-Efficient Transcriptomic-Based Drug Screening

Published on: February 23, 2024

An introduction to high-throughput sequencing experiments: design and bioinformatics analysis.

Rachelly Normand¹, Itai Yanai

¹Life Sciences and Engineering, Technion Genome Center, Technion-Israel Institute of Technology, Haifa, Israel.

Methods in Molecular Biology (Clifton, N.J.)

|July 23, 2013

Summary

High-throughput sequencing, driven by falling DNA sequencing costs, offers powerful new life science research tools. This guide introduces sequencing applications, experimental design, and bioinformatics analysis for biologists.

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Area of Science:

Genomics and Bioinformatics
Molecular Biology Techniques

Background:

The cost of DNA sequencing has decreased significantly, enabling advanced life science experiments.
High-throughput sequencing (HTS) has become a transformative technology in biological research.

Purpose of the Study:

To introduce the analytical domains of high-throughput sequencing, differentiating between "counting" and "reading" applications.
To guide biologists with limited bioinformatics experience in designing and interpreting HTS experiments.

Main Methods:

Discussion of experimental design steps for high-throughput sequencing.
Overview of common high-throughput sequencing applications.
Explanation of fundamental sequencing concepts.
Review of bioinformatics software for data analysis.

Main Results:

Categorization of HTS applications into "counting" and "reading" types.
Introduction to essential sequencing concepts and experimental design principles.
Identification of relevant bioinformatics tools for data interpretation.

Conclusions:

High-throughput sequencing provides accessible, powerful analytical capabilities for life scientists.
This resource aims to empower biologists to leverage HTS in their research effectively.