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Updated: Jun 12, 2026

DNA Sequence Recognition by DNA Primase Using High-Throughput Primase Profiling

DNA Sequence Recognition by DNA Primase Using High-Throughput Primase Profiling

Published on: October 8, 2019

WebPrInSeS: automated full-length clone sequence identification and verification using high-throughput sequencing

Andreas Massouras¹, Frederik Decouttere, Korneel Hens

¹Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland.

Nucleic Acids Research

|May 27, 2010

Summary

This summary is machine-generated.

WebPrInSeS is a new web server tool that uses high-throughput sequencing (HTS) data for automated clone sequence identification and verification. This cost-effective solution aids researchers in analyzing experimental libraries and screening results efficiently.

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Novel Sequence Discovery by Subtractive Genomics

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Published on: January 25, 2019

Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

High-throughput sequencing (HTS) offers rapid and cost-effective DNA sequencing.
Integrating HTS into experimental pipelines requires specialized software tools.
Automated analysis of sequencing data is crucial for large-scale biological studies.

Purpose of the Study:

To develop a web server tool, WebPrInSeS, for automated sequence identification and verification using HTS data.
To provide efficient solutions for analyzing open-reading frame (ORF) clone libraries and screening experiments.
To facilitate the incorporation of HTS data into diverse experimental workflows.

Main Methods:

WebPrInSeS consists of two applications: WebPrInSeS-C for clone library verification and WebPrInSeS-E for library screening analysis.
Both tools utilize de novo assembly algorithms to process HTS data.
The system supports HTS data from all three major sequencing platforms.

Main Results:

WebPrInSeS enables automated, full-length clone sequence identification and verification.
The tool efficiently processes user-defined ORF clone libraries.
WebPrInSeS successfully identifies positive hits in cDNA or ORF-based library screening experiments, such as yeast one- or two-hybrid assays.

Conclusions:

WebPrInSeS offers an integrated, cost-effective, and efficient solution for sequence verification and clone identification.
The web server tool simplifies the analysis of HTS data for researchers.
WebPrInSeS supports a wide range of applications in molecular biology and genomics research.