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RNA-seq

RNA-seq

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.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...

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Updated: May 3, 2026

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Published on: June 28, 2018

HTSstation: a web application and open-access libraries for high-throughput sequencing data analysis.

Fabrice P A David¹, Julien Delafontaine¹, Solenne Carat¹

¹School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland ; Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.

|January 30, 2014

Summary

This summary is machine-generated.

HTSstation provides an intuitive web portal for biologists to analyze High-Throughput Sequencing (HTS) data, including ChIP-seq and RNA-seq, using pre-defined parameters and open-source tools.

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Flow-sorting and Exome Sequencing of the Reed-Sternberg Cells of Classical Hodgkin Lymphoma

Flow-sorting and Exome Sequencing of the Reed-Sternberg Cells of Classical Hodgkin Lymphoma

Published on: June 10, 2017

Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

High-Throughput Sequencing (HTS) generates vast amounts of data requiring specialized analysis tools.
Biologists often need accessible platforms to analyze HTS data without extensive bioinformatics expertise.

Purpose of the Study:

To introduce HTSstation, a web-based analysis portal for diverse HTS applications.
To provide an intuitive interface for rapid HTS data investigation.
To enable customization and integration of analysis pipelines for developers.

Main Methods:

Development of a web application with simple forms.
Integration of modular, open-source analysis pipelines for ChIP-seq, RNA-seq, 4C-seq, and re-sequencing.
Implementation of a programming framework for custom workflow design.

Main Results:

HTSstation offers a user-friendly platform for HTS data analysis.
The portal supports multiple sequencing applications with heuristically pre-defined parameters.
A flexible framework allows for pipeline customization and third-party software integration.

Conclusions:

HTSstation empowers biologists to efficiently analyze their HTS data.
The platform facilitates rapid investigation and custom analysis of genomic data.
HTSstation promotes accessibility and flexibility in HTS data processing.