Massively Parallel Processing of Whole Genome Sequence Data: An In-Depth Performance Study
Summary: Gesall: a massively parallel platform for genome analysis using Wrapper Technology and GDPT to wrap programs unmodified. Genomics workloads show super-linear and sublinear speedups, highlighting data-management questions at the genomics frontier. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Abhishek Roy
- 2. Yanlei Diao
- 3. Uday Evani
- 4. Avinash Abhyankar
- 5. Clinton Howarth
- 6. Rémi Le Priol
- 7. Toby Bloom
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,947 | WHAM: A High-throughput Sequence Alignment Method | 2011 | SIGMOD | 9.9963826e-05 |
| 2,476 | A Platform for Scalable One-Pass Analytics using MapReduce | 2011 | SIGMOD | 8.6907971e-05 |
| 2,627 | GenBase: A Complex Analytics Genomics Benchmark | 2014 | SIGMOD | 8.4292895e-05 |
| 7,899 | Building Highly-Optimized, Low-Latency Pipelines for Genomic Data Analysis | 2015 | CIDR | 4.6176856e-05 |
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