Workflow-Based Approaches to Neuroimaging Analysis
Analysis of functional and structural magnetic resonance imaging (MRI) brain images requires a complex sequence of data processing steps to proceed from raw image data to the final statistical tests. Neuroimaging researchers have begun to apply workflow-based computing techniques to automate data analysis tasks. This chapter discusses eight major components of workflow management systems (WFMSs): the workflow description language, editor, task modules, data access, verification, client, engine, and provenance, and their implementation in the Fiswidgets neuroimaging workflow system. Neuroinformatics challenges involved in applying workflow techniques in the domain of neuroimaging are discussed.
- Direct In Situ RT-PCR
- Assessing Habituation Phenotypes in Adult Zebrafish: Intra- and Inter-Trial Habituation in the Novel Tank Test
- A Rodent Model for Nicotine Self-Administration
- Application of Artificial Neural Networks for Decision Support in Medicine
- The Sea Urchin Egg and Cortical Vesicles as Model Systems to Dissect the Fast, Ca2+-Triggered Steps of Regulated Exocytosis
- Nucleoside Analog Labeling of Neural Stem Cells and Their Progeny
- Patch-Clamp Recording and RT-PCR on Single Cells
- Nuclear Run-On Assays for Measurement of Adrenergic Receptor Transcription Rate
- Denaturing High-Performance Liquid Chromatography and Sequence Analyses for MECP2 Mutations in Rett Syndrome
- Application of Spinal Microdialysis in Freely Moving Rats