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Related Experiment Video

Updated: Mar 19, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

GORpipe: a query tool for working with sequence data based on a Genomic Ordered Relational (GOR) architecture.

Hákon Guðbjartsson¹, Guðmundur Fr Georgsson², Sigurjón A Guðjónsson²

¹WuXiNextCode Genomics, Sturlugata 8, 101 Reykjavík, Iceland.

Bioinformatics (Oxford, England)

|June 25, 2016

Summary

A new software system, GORpipe, offers an efficient framework for analyzing large DNA sequence datasets. This tool facilitates tasks like variant annotation and genomic feature analysis.

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Last Updated: Mar 19, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

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Novel Sequence Discovery by Subtractive Genomics

Novel Sequence Discovery by Subtractive Genomics

Published on: January 25, 2019

Area of Science:

Bioinformatics
Genomics
Computational Biology

Background:

Managing and analyzing large-scale DNA sequence data presents significant computational challenges.
Existing frameworks may lack the efficiency and coherence required for complex genomic analyses.

Purpose of the Study:

To develop a general-purpose relational data format and analysis tools for efficient DNA sequence data management.
To create a coherent framework for handling large volumes of genomic data.

Main Methods:

Development of the GORpipe software system, featuring a genomic ordered architecture.
Implementation of a declarative query language combining SQL and shell pipe syntax.
Application of the system for sequence variant annotation and genomic feature analysis.

Main Results:

GORpipe provides an efficient and coherent framework for large-volume DNA sequence data analysis.
The system enables annotation of sequence variants and identification of genomic spatial overlaps.
It offers flexible filtering and aggregation capabilities for genomic features.

Conclusions:

GORpipe represents a novel approach to genomic data analysis.
The software system enhances the efficiency of working with large DNA sequence datasets.
It provides a versatile platform for various genomic research tasks.