Massive Genomic Data Processing and Deep Analysis

Summary: End-to-end genomic data processing pipeline (alignment, variation discovery, deep analysis) yields testable associations between variants and patient phenotypes. Quality-centric, scalable workflow with cross-stage quality scoring and data pruning, leveraging parallelism to reduce latency for urgent samples and accelerate personalized medicine. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 10432
Venue: VLDB
Year: 2012
Pagerank: 4.1945683e-05
Overall Rank: 12,139 | 15.56%
DOI: -

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
7,902	Building Highly-Optimized, Low-Latency Pipelines for Genomic Data Analysis	2015	CIDR	4.6215911e-05
11,894	Building Highly-Optimized, Low-Latency Pipelines for Genomic Data Analysis	2015	CIDR	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
1,944	WHAM: A High-throughput Sequence Alignment Method	2011	SIGMOD	0.00010004608

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