| scholarly article | Q13442814 |
| P819 | ADS bibcode | 2014PLoSO...9j8490Y |
| P356 | DOI | 10.1371/JOURNAL.PONE.0108490 |
| P932 | PMC publication ID | 4172764 |
| P698 | PubMed publication ID | 25247298 |
| P5875 | ResearchGate publication ID | 266026735 |
| P50 | author | Alex W. Hewitt | Q61809768 |
| David A. Mackey | Q37373213 | ||
| Seyhan Yazar | Q37635014 | ||
| P2093 | author name string | George E C Gooden | |
| P2860 | cites work | Genomics in the clouds | Q86058253 |
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| The case for cloud computing in genome informatics | Q27499446 | ||
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| Cloud computing and the DNA data race | Q33630356 | ||
| Sailfish enables alignment-free isoform quantification from RNA-seq reads using lightweight algorithms | Q33829375 | ||
| Biomedical cloud computing with Amazon Web Services | Q34013580 | ||
| Resources and costs for microbial sequence analysis evaluated using virtual machines and cloud computing | Q34058750 | ||
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| Implementation of Cloud based next generation sequencing data analysis in a clinical laboratory. | Q35178920 | ||
| Use of high throughput sequencing to observe genome dynamics at a single cell level | Q37469631 | ||
| Cloud computing beckons scientists. | Q48761084 | ||
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 9 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | cloud computing | Q483639 |
| computational benchmark | Q125963897 | ||
| P304 | page(s) | e108490 | |
| P577 | publication date | 2014-09-23 | |
| P1433 | published in | PLOS One | Q564954 |
| P1476 | title | Benchmarking undedicated cloud computing providers for analysis of genomic datasets | |
| P478 | volume | 9 |
| Q47139712 | An incremental anomaly detection model for virtual machines |
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