A scalable neuroinformatics data flow for electrophysiological signals using MapReduce
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Summary
The Cloudwave data flow is a template for developing highly scalable neuroscience data processing pipelines using MapReduce algorithms to support a variety of user applications and addresses the challenge of data heterogeneity.
- Type
- article
- Published
- 2015-03-16
- Cited by
- 18
- References
- 55
- Access
- Open access
- OpenAlex
- https://openalex.org/W1996385293
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:3175591
Keywords
Neuroinformatics, Computer science, Scalability, Big data, Data flow diagram
References
- Cloudwave: Distributed Processing of "Big Data" from Electrophysiological Recordings for Epilepsy Clinical Research Using Hadoop
- Electrophysiological Signal Analysis and Visualization using Cloudwave for Epilepsy Clinical Research
- EpiDEA: Extracting Structured Epilepsy and Seizure Information from Patient Discharge Summaries for Cohort Identification
- OPIC: Ontology-driven Patient Information Capturing System for Epilepsy
- Alloxan Induced Oxidative Stress and Impairment of Oxidative Defense System in rats
- GDF - A general dataformat for BIOSIGNALS
- Modern technology calls for a modern approach to classification of epileptic seizures and the epilepsies
- Normalized names for clinical drugs: RxNorm at 6 years
- Data management routines for reproducible research using the G-Node Python Client library
- A Bottom-up Approach to Data Annotation in Neurophysiology
- The CARMEN software as a service infrastructure
- Development and use of Ontologies Inside the Neuroscience Information Framework: A Practical Approach
- BioSig: The Free and Open Source Software Library for Biomedical Signal Processing
- Integrated platform and API for electrophysiological data
- Skew handling techniques in sort-merge join
- Software and hardware infrastructure for research in electrophysiology
- Argonaute—a database for gene regulation by mammalian microRNAs
- Towards Desiderata for an Ontology of Diseases for the Annotation of Biological Datasets
- Entering the era of "big data": getting our metrics right.
- Revised terminology and concepts for organization of seizures and epilepsies: Report of the ILAE Commission on Classification and Terminology, 2005–2009
Cited by
- Neurophysiological analytics for all! Free open-source software tools for documenting, analyzing, visualizing, and sharing using electronic notebooks.
- NeuroPigPen: A Scalable Toolkit for Processing Electrophysiological Signal Data in Neuroscience Applications Using Apache Pig
- Proceedings of the 15th Annual UT-KBRIN Bioinformatics Summit 2016
- Hadoop-EDF: Large-scale Distributed Processing of Electrophysiological Signal Data in Hadoop MapReduce
- Computation of Brain Functional Connectivity Network Measures in Epilepsy: A Web-Based Platform for EEG Signal Data Processing and Analysis
- Computing Functional Brain Connectivity in Neurological Disorders: Efficient Processing and Retrieval of Electrophysiological Signal Data.
- Big data in epilepsy: Clinical and research considerations. Report from the Epilepsy Big Data Task Force of the International League Against Epilepsy
- Scalable Analysis of Large Datasets in Life Sciences
- An Integrative Approach to Study Structural and Functional Network Connectivity in Epilepsy Using Imaging and Signal Data
- NeuroIntegrative Connectivity (NIC) Informatics Tool for Brain Functional Connectivity Network Analysis in Cohort Studies
- The constructing of cognitive functions ontology
- Epilepsy-Connect: An Integrated Knowledgebase for Characterizing Alterations in Consciousness State of Pharmacoresistant Epilepsy Patients
- An Ontology-Driven Knowledge Representation about Cognitive Functions
- MaTiLDA: An Integrated Machine Learning and Topological Data Analysis Platform for Brain Network Dynamics
- Towards building a trustworthy pipeline integrating Neuroscience Gateway and Open Science Chain
- Ontology accelerates few-shot learning capability of large language model: A study in extraction of drug efficacy in a rare pediatric epilepsy
- PlantES: A Plant Electrophysiological Multi-Source Data Online Analysis and Sharing Platform
- Digital Commons @ Michigan Tech Digital Commons @ Michigan Tech
- Processing Neurology Clinical Data for Knowledge Discovery: Scalable Data Flows Using Distributed Computing
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