Academic Journal
The ISMARA client [version 1; referees: 2 approved]
| العنوان: | The ISMARA client [version 1; referees: 2 approved] |
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| المؤلفون: | Panu Artimo, Séverine Duvaud, Mikhail Pachkov, Vassilios Ioannidis, Erik van Nimwegen, Heinz Stockinger |
| المصدر: | F1000Research, Vol 5 (2016) |
| بيانات النشر: | F1000 Research Ltd, 2016. |
| سنة النشر: | 2016 |
| المجموعة: | LCC:Medicine LCC:Science |
| مصطلحات موضوعية: | Bioinformatics, Medicine, Science |
| الوصف: | ISMARA (ismara.unibas.ch) automatically infers the key regulators and regulatory interactions from high-throughput gene expression or chromatin state data. However, given the large sizes of current next generation sequencing (NGS) datasets, data uploading times are a major bottleneck. Additionally, for proprietary data, users may be uncomfortable with uploading entire raw datasets to an external server. Both these problems could be alleviated by providing a means by which users could pre-process their raw data locally, transferring only a small summary file to the ISMARA server. We developed a stand-alone client application that pre-processes large input files (RNA-seq or ChIP-seq data) on the user's computer for performing ISMARA analysis in a completely automated manner, including uploading of small processed summary files to the ISMARA server. This reduces file sizes by up to a factor of 1000, and upload times from many hours to mere seconds. The client application is available from ismara.unibas.ch/ISMARA/client. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2046-1402 |
| Relation: | https://f1000research.com/articles/5-2851/v1; https://doaj.org/toc/2046-1402 |
| DOI: | 10.12688/f1000research.9794.1 |
| URL الوصول: | https://doaj.org/article/57b45cbb4c5246e39a8f3002ebaf0e64 |
| رقم الانضمام: | edsdoj.57b45cbb4c5246e39a8f3002ebaf0e64 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20461402 |
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| DOI: | 10.12688/f1000research.9794.1 |