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Pregled bibliografske jedinice broj: 628070

BioBlend - Enabling Pipeline Dreams


Sloggett, Clare; Goonasekera, Nuwan; Afgan, Enis
BioBlend - Enabling Pipeline Dreams // Bioinformatics Open Source Conference (BOSC 2013)
Berlin, Njemačka, 2013. (predavanje, međunarodna recenzija, sažetak, znanstveni)


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Naslov
BioBlend - Enabling Pipeline Dreams

Autori
Sloggett, Clare ; Goonasekera, Nuwan ; Afgan, Enis

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Skup
Bioinformatics Open Source Conference (BOSC 2013)

Mjesto i datum
Berlin, Njemačka, 19.07.2013. - 20.07.2013

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
API; automation; bioinformatics analysis; Galaxy; CloudMan

Sažetak
Since the advent of high-throughput sequencing technologies, genomics has become a large-data science with immense opportunity for biological insight. However, the analysis of such data is technically challenging, and collaboration between biologists and bioinformaticians is required to interpret the data. Galaxy is a popular and accessible platform for bioinformatics analysis, which provides many advantages such as visualisation, interactive analysis, reproducibility, and data and workflow sharing via a graphical interface. CloudMan is a cloud-based job runtime platform, which allows researchers to easily provision scalable 'virtual clusters' to run Galaxy and other applications in a cloud computing environment. We created the BioBlend library, a unified API in a high-level language (python) that wraps the functionality of both Galaxy and CloudMan APIs. BioBlend exposes the programmable functionality of the two applications in a format that is more suitable for programming and thus makes it easier for bioinformaticians to automate end-to-end large-data analysis, from scratch. Because the end result of a data analysis is still available in the Galaxy environment, the resulting pipeline is highly accessible to collaborators. In combination with CloudMan, it is possible to both provision the required infrastructure, and automate complex analyses over large data sets on an as needed basis. The library is easily installable via PyPi and comes with detailed documentation and example scripts in both the project website and the source code. This talk will provide an overview of the library, details of the available functionality, and highlight some of the available scripts.

Izvorni jezik
Engleski

Znanstvena područja
Biologija, Računarstvo



POVEZANOST RADA


Ustanove:
Institut "Ruđer Bošković", Zagreb

Profili:

Avatar Url Enis Afgan (autor)

Citiraj ovu publikaciju:

Sloggett, Clare; Goonasekera, Nuwan; Afgan, Enis
BioBlend - Enabling Pipeline Dreams // Bioinformatics Open Source Conference (BOSC 2013)
Berlin, Njemačka, 2013. (predavanje, međunarodna recenzija, sažetak, znanstveni)
Sloggett, C., Goonasekera, N. & Afgan, E. (2013) BioBlend - Enabling Pipeline Dreams. U: Bioinformatics Open Source Conference (BOSC 2013).
@article{article, author = {Sloggett, Clare and Goonasekera, Nuwan and Afgan, Enis}, year = {2013}, keywords = {API, automation, bioinformatics analysis, Galaxy, CloudMan}, title = {BioBlend - Enabling Pipeline Dreams}, keyword = {API, automation, bioinformatics analysis, Galaxy, CloudMan}, publisherplace = {Berlin, Njema\v{c}ka} }
@article{article, author = {Sloggett, Clare and Goonasekera, Nuwan and Afgan, Enis}, year = {2013}, keywords = {API, automation, bioinformatics analysis, Galaxy, CloudMan}, title = {BioBlend - Enabling Pipeline Dreams}, keyword = {API, automation, bioinformatics analysis, Galaxy, CloudMan}, publisherplace = {Berlin, Njema\v{c}ka} }




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