X2H
X2H transforms XML-based biological datasets into scalable HBase representations and maps XML query models to MapReduce to enable efficient large-scale storage and querying of structured biological data.
Key Features:
- Efficient Data Storage: Constructs HBase tables from XML-based biological data collections to leverage HBase scalability and performance for large datasets.
- Advanced Query Capabilities: Provides a formal transformation of the XML query model into the MapReduce query model to improve query performance over traditional declarative XML query languages.
- Performance Evaluation: Demonstrates substantial performance advantages through evaluation of query performance on existing XML-based biological databases.
Scientific Applications:
- Large-scale XML biological data management: Supports scalable storage and access for bioinformatics resources encoded in XML.
- Scalable query execution on XML databases: Enables efficient execution and benchmarking of queries on structured biological datasets.
Methodology:
Converts XML-based biological data into HBase tables and applies a formal transformation of the XML query model into the MapReduce query model for distributed query execution.
Topics
Details
- License:
- Unlicense
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Java
- Added:
- 8/9/2019
- Last Updated:
- 6/16/2020
Operations
Publications
Liu J, Liu Q, Zhang L, Su S, Liu Y. Enabling Massive XML-Based Biological Data Management in HBase. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2020;17(6):1994-2004. doi:10.1109/tcbb.2019.2915811. PMID:31094692.
PMID: 31094692
Funding: - National Key R&D Program of China: 2017YFC1200200, 2017YFC1200205, 2018YFC1603800, 2018YFC1603802
- National Natural Science Foundation of China: 61602130, 61872115
- China Postdoctoral Science Foundation: 2015M581449, 2016T90294
- Heilongjiang Postdoctoral Fund: LBH-Z14089
- Natural Science Foundation of Heilongjiang Province: QC2015067
- Fundamental Research Funds for the Central Universities: HIT.NSRIF.2017036
- Shanghai Municipal Science and Technology Major Project: 2017SHZDZX01
Documentation
Links
Issue tracker
https://github.com/lyotvincent/X2H/issues