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Optimizing performance of GATK workflows using Apache Arrow In-Memory data framework
BACKGROUND: Immense improvements in sequencing technologies enable producing large amounts of high throughput and cost effective next-generation sequencing (NGS) data. This data needs to be processed efficiently for further downstream analyses. Computing systems need this large amounts of data close...
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| Pubblicato in: | BMC Genomics |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7677819/ https://ncbi.nlm.nih.gov/pubmed/33208101 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12864-020-07013-y |
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