Javascript must be enabled to continue!
ODGI: understanding pangenome graphs
View through CrossRef
Abstract
Motivation
Pangenome graphs provide a complete representation of the mutual alignment of collections of genomes. These models offer the opportunity to study the entire genomic diversity of a population, including structurally complex regions. Nevertheless, analyzing hundreds of gigabase-scale genomes using pangenome graphs is difficult as it is not well-supported by existing tools. Hence, fast and versatile software is required to ask advanced questions to such data in an efficient way.
Results
We wrote ODGI, a novel suite of tools that implements scalable algorithms and has an efficient in-memory representation of DNA pangenome graphs in the form of variation graphs. ODGI supports pre-built graphs in the Graphical Fragment Assembly format. ODGI includes tools for detecting complex regions, extracting pangenomic loci, removing artifacts, exploratory analysis, manipulation, validation, and visualization. Its fast parallel execution facilitates routine pangenomic tasks, as well as pipelines that can quickly answer complex biological questions of gigabase-scale pangenome graphs.
Availability
ODGI is published as free software under the MIT open source license. Source code can be downloaded from
https://github.com/pangenome/odgi
and documentation is available at
https://odgi.readthedocs.io
. ODGI can be installed via Bioconda
https://bioconda.github.io/recipes/odgi/README.html
or GNU Guix
https://github.com/pangenome/odgi/blob/master/guix.scm
.
Contact
egarris5@uthsc.edu
Title: ODGI: understanding pangenome graphs
Description:
Abstract
Motivation
Pangenome graphs provide a complete representation of the mutual alignment of collections of genomes.
These models offer the opportunity to study the entire genomic diversity of a population, including structurally complex regions.
Nevertheless, analyzing hundreds of gigabase-scale genomes using pangenome graphs is difficult as it is not well-supported by existing tools.
Hence, fast and versatile software is required to ask advanced questions to such data in an efficient way.
Results
We wrote ODGI, a novel suite of tools that implements scalable algorithms and has an efficient in-memory representation of DNA pangenome graphs in the form of variation graphs.
ODGI supports pre-built graphs in the Graphical Fragment Assembly format.
ODGI includes tools for detecting complex regions, extracting pangenomic loci, removing artifacts, exploratory analysis, manipulation, validation, and visualization.
Its fast parallel execution facilitates routine pangenomic tasks, as well as pipelines that can quickly answer complex biological questions of gigabase-scale pangenome graphs.
Availability
ODGI is published as free software under the MIT open source license.
Source code can be downloaded from
https://github.
com/pangenome/odgi
and documentation is available at
https://odgi.
readthedocs.
io
.
ODGI can be installed via Bioconda
https://bioconda.
github.
io/recipes/odgi/README.
html
or GNU Guix
https://github.
com/pangenome/odgi/blob/master/guix.
scm
.
Contact
egarris5@uthsc.
edu.
Related Results
Pangenome graph layout by Path-Guided Stochastic Gradient Descent
Pangenome graph layout by Path-Guided Stochastic Gradient Descent
Abstract
Motivation
The increasing availability of complete genomes demands for models to study genomic variability within enti...
Cluster-efficient pangenome graph construction with nf-core/pangenome
Cluster-efficient pangenome graph construction with nf-core/pangenome
Abstract
Motivation
Pangenome graphs offer a comprehensive way of capturing genomic variability across multiple genomes. ...
Cluster efficient pangenome graph construction with nf-core/pangenome
Cluster efficient pangenome graph construction with nf-core/pangenome
Abstract
Motivation
Pangenome graphs offer a comprehensive way of capturing genomic variability across multiple genomes. Howeve...
PanGraphViewer: A Versatile Tool to Visualize Pangenome Graphs
PanGraphViewer: A Versatile Tool to Visualize Pangenome Graphs
AbstractPangenome graphs provide a powerful way to present both sequence and structural features in a given genome relative to the typical features of a population. There are diffe...
Efficient inference of large pangenomes with PanTA
Efficient inference of large pangenomes with PanTA
Abstract
Pangenome analysis is an indispensable step in bacterial genomics to address the high variability of bacteria genomes. However, speed an...
Haplotype Matching with GBWT for Pangenome Graphs
Haplotype Matching with GBWT for Pangenome Graphs
Traditionally, variations from a linear reference genome were used to represent large sets of haplotypes compactly. In the linear reference genome based paradigm, the positional Bu...
Computing the Energy of Certain Graphs based on Vertex Status
Computing the Energy of Certain Graphs based on Vertex Status
Background:
The concept of Hückel molecular orbital theory is used to compute the graph energy numerically and graphically on the base of the status of a vertex.
Objective:
Our a...
Pangenome – its Aspect and Prospect
Pangenome – its Aspect and Prospect
Pangenome is a very new discipline showing a collection of unique and variable genomes of any species in one model. This discipline is a combination of three subjects of Biology li...

