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Related Experiment Video

Updated: May 15, 2026

3' End Sequencing Library Preparation with A-seq2

3' End Sequencing Library Preparation with A-seq2

Published on: October 10, 2017

ASAP: an environment for automated preprocessing of sequencing data.

Eric S Torstenson¹, Bingshan Li, Chun Li

¹Center for Human Genetics Research, Vanderbilt University, Nashville, USA.

BMC Research Notes

|January 8, 2013

Summary

Advanced Sequence Automated Pipeline (ASAP) automates next-generation sequencing data processing, minimizing user effort and errors. This tool translates raw sequence data into annotated variant calls efficiently.

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Area of Science:

Genomics
Bioinformatics

Background:

Next-generation sequencing (NGS) generates vast amounts of genetic data.
Manual processing of NGS data is time-consuming, error-prone, and delays analysis.
Existing automated pipelines are often inaccessible or require significant administrative expertise.

Purpose of the Study:

To develop an automated framework for NGS data preprocessing.
To minimize user involvement in translating raw sequence data to variant calls.
To provide a flexible and accessible solution for NGS data analysis.

Main Methods:

Developed the Advanced Sequence Automated Pipeline (ASAP).
ASAP automates the translation of sequencing data into annotated variant calls.
Designed to run on clusters and standalone machines with minimal user intervention.

Main Results:

ASAP minimizes user involvement and the need for dedicated hardware or administrative rights.
Maintains high data integrity while allowing full control over program configuration.
Offers an intuitive interface for job submission, tracking, and recovery, plus quality checking and job division for throughput.

Conclusions:

ASAP provides a flexible environment for automated NGS data preprocessing.
Facilitates efficient and reliable variant calling from NGS data.
Freely available for research use and future development.