Dataset Information

Initial steps towards a production platform for DNA sequence analysis on the grid.

ABSTRACT:

Background

Bioinformatics is confronted with a new data explosion due to the availability of high throughput DNA sequencers. Data storage and analysis becomes a problem on local servers, and therefore it is needed to switch to other IT infrastructures. Grid and workflow technology can help to handle the data more efficiently, as well as facilitate collaborations. However, interfaces to grids are often unfriendly to novice users.

Results

In this study we reused a platform that was developed in the VL-e project for the analysis of medical images. Data transfer, workflow execution and job monitoring are operated from one graphical interface. We developed workflows for two sequence alignment tools (BLAST and BLAT) as a proof of concept. The analysis time was significantly reduced. All workflows and executables are available for the members of the Dutch Life Science Grid and the VL-e Medical virtual organizations All components are open source and can be transported to other grid infrastructures.

Conclusions

The availability of in-house expertise and tools facilitates the usage of grid resources by new users. Our first results indicate that this is a practical, powerful and scalable solution to address the capacity and collaboration issues raised by the deployment of next generation sequencers. We currently adopt this methodology on a daily basis for DNA sequencing and other applications. More information and source code is available via http://www.bioinformaticslaboratory.nl/

SUBMITTER: Luyf AC

PROVIDER: S-EPMC3018473 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Initial steps towards a production platform for DNA sequence analysis on the grid.

Luyf Angela C M AC van Schaik Barbera D C BD de Vries Michel M Baas Frank F van Kampen Antoine H C AH Olabarriaga Silvia D SD

BMC bioinformatics 20101214

<h4>Background</h4>Bioinformatics is confronted with a new data explosion due to the availability of high throughput DNA sequencers. Data storage and analysis becomes a problem on local servers, and therefore it is needed to switch to other IT infrastructures. Grid and workflow technology can help to handle the data more efficiently, as well as facilitate collaborations. However, interfaces to grids are often unfriendly to novice users.<h4>Results</h4>In this study we reused a platform that was ...[more]

PMID: 21156038

Similar Datasets

Project description:There is a gradual shift from representing a species' genome by a single reference genome sequence to a pan-genome representation. Pan-genomes are the abstract representations of the genomes of all the strains that are present in the population or species. In this study, we employed a pan-genomic approach to analyze the intraspecific mitochondrial genome diversity of Fusarium graminearum. We present an improved reference mitochondrial genome for F. graminearum with an intron-exon annotation that was verified using RNA-seq data. Each of the 24 studied isolates had a distinct mitochondrial sequence. Length variation in the F. graminearum mitogenome was found to be largely due to variation of intron regions (99.98%). The "intronless" mitogenome length was found to be quite stable and could be informative when comparing species. The coding regions showed high conservation, while the variability of intergenic regions was highest. However, the most important variable parts are the intron regions, because they contain approximately half of the variable sites, make up more than half of the mitogenome, and show presence/absence variation. Furthermore, our analyses show that the mitogenome of F. graminearum is recombining, as was previously shown in F. oxysporum, indicating that mitogenome recombination is a common phenomenon in Fusarium. The majority of mitochondrial introns in F. graminearum belongs to group I introns, which are associated with homing endonuclease genes (HEGs). Mitochondrial introns containing HE genes may spread within populations through homing, where the endonuclease recognizes and cleaves the recognition site in the target gene. After cleavage of the "host" gene, it is replaced by the gene copy containing the intron with HEG. We propose to use introns unique to a population for tracking the spread of the given population, because introns can spread through vertical inheritance, recombination as well as via horizontal transfer. We demonstrate how pooled sequencing of strains can be used for mining mitogenome data. The usage of pooled sequencing offers a scalable solution for population analysis and for species level comparisons studies. This study may serve as a basis for future mitochondrial genome variability studies and representations.

Dataset Information

Initial steps towards a production platform for DNA sequence analysis on the grid.

Background

Results

Conclusions

Publications

Initial steps towards a production platform for DNA sequence analysis on the grid.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets