title: The perfect neuroimaging-genetics-computation storm: collision of petabytes of data, millions of hardware devices and thousands of software tools.
abstract: The volume, diversity and velocity of biomedical data are exponentially increasing providing petabytes of new neuroimaging and genetics data every year. At the same time, tens-of-thousands of computational algorithms are developed and reported in the literature along with thousands of software tools and services. Users demand intuitive, quick and platform-agnostic access to data, software tools, and infrastructure from millions of hardware devices. This explosion of information, scientific techniques, computational models, and technological advances leads to enormous challenges in data analysis, evidence-based biomedical inference and reproducibility of findings. The Pipeline workflow environment provides a crowd-based distributed solution for consistent management of these heterogeneous resources. The Pipeline allows multiple (local) clients and (remote) servers to connect, exchange protocols, control the execution, monitor the states of different tools or hardware, and share complete protocols as portable XML workflows. In this paper, we demonstrate several advanced computational neuroimaging and genetics case-studies, and end-to-end pipeline solutions. These are implemented as graphical workflow protocols in the context of analyzing imaging (sMRI, fMRI, DTI), phenotypic (demographic, clinical), and genetic (SNP) data.
authors: Laboratory of Neuro Imaging (LONI), David Geffen School of Medicine at UCLA, University of California, Los Angeles, 635 S. Charles Young Drive, Suite 225, Los Angeles, CA, 90095-7334, USA, dinov@ucla.edu.
authors: Ivo D
authors: ID
authors: Dinov
authors: Petros
authors: P
authors: Petrosyan
authors: Zhizhong
authors: Z
authors: Liu
authors: Paul
authors: P
authors: Eggert
authors: Alen
authors: A
authors: Zamanyan
authors: Federica
authors: F
authors: Torri
authors: Fabio
authors: F
authors: Macciardi
authors: Sam
authors: S
authors: Hobel
authors: Seok Woo
authors: SW
authors: Moon
authors: Young Hee
authors: YH
authors: Sung
authors: Zhiguo
authors: Z
authors: Jiang
authors: Jennifer
authors: J
authors: Labus
authors: Florian
authors: F
authors: Kurth
authors: Cody
authors: C
authors: Ashe-McNalley
authors: Emeran
authors: E
authors: Mayer
authors: Paul M
authors: PM
authors: Vespa
authors: John D
authors: JD
authors: Van Horn
authors: Arthur W
authors: AW
authors: Toga
mesh_terms: D000465:Algorithms; D000544:Alzheimer Disease / Q000235:genetics / Q000473:pathology / Q000503:physiopathology; D001921:Brain / Q000473:pathology / Q000503:physiopathology; D001930:Brain Injuries / Q000473:pathology / Q000503:physiopathology; D059350:Chronic Pain / Q000150:complications / Q000473:pathology; D019295:Computational Biology / Q000379:methods; D005260:Female; D055106:Genome-Wide Association Study / Q000379:methods; D023281:Genomics / Q000379:methods*; D006801:Humans; D033181:Information Dissemination / Q000379:methods; D020407:Internet; D043183:Irritable Bowel Syndrome / Q000150:complications / Q000473:pathology; D008297:Male; D008875:Middle Aged; D059906:Neuroimaging / Q000379:methods*; D012984:Software; D057188:Workflow
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