Name
Title | ||
|---|---|---|
VA-Store: A Virtual Approximate Store Approach to Supporting Repetitive Big Data in Genome Sequence Analyses. |
Abstract | ||
|---|---|---|
In recent years, we have witnessed an increasing demand to process big data in numerous applications. It is observed that there often exist substantial amounts of repetitive data in different portions of a big data repository/dataset for applications such as genome sequence analyses. In this paper, we present a novel method, called the VA-Store, to reduce the large space requirement for repetitive... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TKDE.2018.2885952 | IEEE Transactions on Knowledge and Data Engineering |
Keywords | Field | DocType |
Bioinformatics,Genomics,Sequences,Sequential analysis,Search problems,Big Data,Query processing | Kernel (linear algebra),Query optimization,Data mining,Computer science,Genomics,Whole genome sequencing,Big data,Genome sequence analysis | Journal |
Volume | Issue | ISSN |
32 | 3 | 1041-4347 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xianying Liu | 1 | 0 | 0.34 |
| Qiang Zhu | 2 | 398 | 60.85 |
| Sakti Pramanik | 3 | 0 | 1.01 |
| C. Titus Brown | 4 | 137 | 15.25 |
| Gang Qian | 5 | 784 | 63.77 |