Building Highly-Optimized, Low-Latency Pipelines for Genomic Data Analysis
Summary: End-to-end system that applies a principled optimization framework plus a parallel execution platform to transform long-running, deep genomic analysis pipelines into highly-optimized, low-latency workflows. Validated on NY Genome Center workloads to cut multi-day runtimes for clinical-scale sequencing. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yanlei Diao (University of Massachusetts Amherst)
- 2. Abhishek Roy (University of Massachusetts Amherst)
- 3. Toby Bloom (New York Genome Center)
BibTeX Citation
@inproceedings{diao_cidr15,
address = {Amsterdam, Netherlands},
series = {{CIDR} '15},
title = {{Building Highly-Optimized, Low-Latency Pipelines for Genomic Data Analysis}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Diao, Yanlei and Roy, Abhishek and Bloom, Toby},
year = {2015}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,552 | Rethinking Data-Intensive Science Using Scalable Analytics Systems | 2015 | SIGMOD | 7.3188008e-05 |
| 11,994 | Massively Parallel Processing of Whole Genome Sequence Data: An In-Depth Performance Study | 2017 | SIGMOD | 5.093636e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6 | Pig Latin: A Not-So-Foreign Language for Data Processing | 2008 | SIGMOD | 0.0010686205 |
| 44 | A Comparison of Approaches to Large-Scale Data Analysis | 2009 | SIGMOD | 0.00046055057 |
| 606 | Mining Quantitative Association Rules in Large Relational Tables | 1996 | SIGMOD | 0.00015804851 |
| 872 | Tenzing: A SQL Implementation On The MapReduce Framework | 2011 | VLDB | 0.00013486409 |
| 2,265 | A Platform for Scalable One-Pass Analytics using MapReduce | 2011 | SIGMOD | 8.8398946e-05 |
| 2,459 | WHAM: A High-throughput Sequence Alignment Method | 2011 | SIGMOD | 8.550768e-05 |
| 2,642 | CoHadoop: Flexible Data Placement and Its Exploitation in Hadoop | 2011 | VLDB | 8.3059948e-05 |
| 12,335 | Massive Genomic Data Processing and Deep Analysis | 2012 | VLDB | 5.093636e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 12,801 | Genomics Algebra: A New, Integrating Data Model, Language, and Tool for Processing and Querying Genomic Information | 2003 | CIDR |
| 2 | 12,118 | ShareInsights - An Unified Approach to Full-stack Data Processing | 2015 | SIGMOD |
| 3 | 4,691 | Fast Processing and Querying of 170TB of Genomics Data via a Repeated And Merged BloOm Filter (RAMBO) | 2021 | SIGMOD |
| 4 | 2,949 | GenBase: A Complex Analytics Genomics Benchmark | 2014 | SIGMOD |
| 5 | 9,640 | Supporting Scalable Analytics with Latency Constraints | 2015 | VLDB |
| 6 | 12,484 | Data Management for High-Throughput Genomics | 2009 | CIDR |
| 7 | 6,667 | Managing Data from High-Throughput Genomic Processing: A Case Study | 2004 | VLDB |
| 8 | 3,552 | Rethinking Data-Intensive Science Using Scalable Analytics Systems | 2015 | SIGMOD |
| 9 | 11,994 | Massively Parallel Processing of Whole Genome Sequence Data: An In-Depth Performance Study | 2017 | SIGMOD |
| 10 | 12,335 | Massive Genomic Data Processing and Deep Analysis | 2012 | VLDB |