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Citations per year

Number of citations per year for the bioinformatics software tool Fastr

Tool usage distribution map

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Fastr specifications


Unique identifier OMICS_22278
Name Fastr
Software type Framework/Library
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python
License Apache License version 2.0
Computer skills Advanced
Stability Stable
Maintained Yes




No version available



  • person_outline Hakim Achterberg

Additional information

Publication for Fastr

Fastr citations


Synchronization of intrinsic 0.1‐Hz blood‐oxygen‐level‐dependent oscillations in amygdala and prefrontal cortex in subjects with increased state anxiety

PMCID: 5887876
PMID: 29368814
DOI: 10.1111/ejn.13845

[…] attached to the subject using a respiration belt. The sampling rate used was 400 Hz. The fMRI plug‐in for EEGLAB (Niazy et al., ) was used to detect ECG beat‐to‐beat complexes. Within this tool, the FASTR algorithm (for removal of gradient‐induced artifacts) and the beat‐to‐beat detection algorithm were used in succession, resulting in beat‐to‐beat (RRI) interval time courses. These were then int […]


The Neural Bases of Event Monitoring across Domains: a Simultaneous ERP fMRI Study

Front Hum Neurosci
PMCID: 5519569
PMID: 28785212
DOI: 10.3389/fnhum.2017.00376

[…] in Products) or EEGLAB 12.0 (Delorme and Makeig, ), according to each specific preprocessing step. The gradient artifact (GA) was removed from EEG data using the fMRI artifact slice template removal (FASTR) algorithm (Niazy et al., ), implemented in EEGLAB (FMRIB plug-in). A total of 31 consecutive volume artifacts were included in the averaging window for computing the artifact template. The grad […]


Reproducible Large Scale Neuroimaging Studies with the OpenMOLE Workflow Management System

Front Neuroinform
PMCID: 5361107
PMID: 28381997
DOI: 10.3389/fninf.2017.00021

[…] s (Stodden, ; Peng, ). This is of tremendous importance to enable reproducibility and thorough peer-reviewing of scientific results.Finally, we have recently noted another effort developed in Python: FastR (Achterberg et al., ). It is designed around a plugin system that enables connecting to different data sources or execution environments. At the moment, execution environments can only be addres […]


Accessible Neurobehavioral Anger Related Markers for Vulnerability to Post Traumatic Stress Symptoms in a Population of Male Soldiers

PMCID: 5339223
PMID: 28326027
DOI: 10.3389/fnbeh.2017.00038

[…] ipant, bipolar Ag/AgCl electrodes were attached to the right and left side of the chest. Preprocessing of the ECG signal and RR interval analysis was performed as described in Raz et al. (). Briefly, FASTR algorithm (Niazy et al., ) implemented in FMRIB plug-in for EEGLAB (Delorme and Makeig, ) was used for MR gradients artifacts removal. R peaks were detected using the FMRIB plug-in and manually […]


Distinction between Neural and Vascular BOLD Oscillations and Intertwined Heart Rate Oscillations at 0.1 Hz in the Resting State and during Movement

PLoS One
PMCID: 5215612
PMID: 28052074
DOI: 10.1371/journal.pone.0168097

[…] des on the thorax, standard channels (Siemens Standard, lead 1) were used. The sampling rate was 400 Hz. The FMRIB plug-in for EEGLAB was used for QRS (heart beat) detection []. Within this tool, the FASTR algorithm (for removal of gradient-induced artifacts) and the QRS detection algorithm were used in succession, resulting in beat-to-beat interval (RRI) time courses. Those were further interpola […]


A Review of Computational Methods for Finding Non Coding RNA Genes

PMCID: 5192489
PMID: 27918472
DOI: 10.3390/genes7120113

[…] e pair and single nucleotide substitution matrices for RNA sequences. The web-based tool RNALOSS [] was developed to provide information about the distribution of locally optimal secondary structures.FastR [] was applied to the discovery of riboswitches, a class of RNA domains, which regulate metabolite synthesis. Given an RNA sequence with known secondary structure, FastR efficiently computes all […]

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Fastr institution(s)
Biomedical Imaging Group Rotterdam, Departments of Medical Informatics and Radiology, Erasmus MC, Rotterdam, Netherlands; Imaging Science & Technology, Faculty of Applied Sciences, Delft University of Technology, Delft, Netherlands
Fastr funding source(s)
Supported by The Heart Brain Connection Consortium, the Netherlands Cardiovascular Research Initiative (CVON2012-06), Population Imaging Infrastructuur in Medical Delta, the European Regional Development Fund (Kansen voor West) and co-financed by the province of South-Holland; and BBMRI-NL2.0

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