Falco statistics

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Citations per year

Number of citations per year for the bioinformatics software tool Falco
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Falco specifications

Information


Unique identifier OMICS_12353
Name Falco
Software type Framework/Library
Interface Command line interface
Restrictions to use None
Input data FASTQ input files
Operating system Unix/Linux
Parallelization MapReduce
License GNU General Public License version 3.0
Computer skills Advanced
Stability Stable
High performance computing Yes
Maintained Yes

Versioning


No version available

Documentation


Maintainer


  • person_outline Joshua Ho

Publication for Falco

Falco citations

 (2)
library_books

Light focusing human micro lenses generated from pluripotent stem cells model lens development and drug induced cataract in vitro

2018
PMCID: 5825866
PMID: 29217756
DOI: 10.1242/dev.155838

[…] and the data have been deposited in GEO (http://www.ncbi.nlm.nih.gov/geo/) under accession number GSE94296. Reads were analysed using FastQC to assess the quality of the data and processed using the Falco framework (), with HISAT2 () as the aligner and featureCounts () as the read quantification tool (extra arguments for featureCounts: -s 2 -t exon -g gene_name --primary). The hg19 genome referen […]

library_books

Scalability and Validation of Big Data Bioinformatics Software

2017
Comput Struct Biotechnol J
PMCID: 5537105
PMID: 28794828
DOI: 10.1016/j.csbj.2017.07.002

[…] e been many bioinformatics SaaS solutions to perform tasks ranging from short-read alignment (CloudAligner and SparkBWA ), variant calling (Halvade and Churchill ) and RNA-seq analysis (Oqtans and Falco ). In Platform as a Service, users are provided with a platform for developing their own software. Some PaaS providers also provide support for automatically scaling the computing resource used […]


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Falco institution(s)
Victor Chang Cardiac Research Institute, Sydney, NSW, Australia; St Vincent’s Clinical School, University of New South Wales, Sydney, NSW, Australia
Falco funding source(s)
This work was supported in part by funds from the New South Wales Ministry of Health, a National Health and Medical Research Council/National Heart Foundation Career Development Fellowship (1105271), a Ramaciotti Establishment Grant (ES2014/010), an Australian Postgraduate Award, and Amazon Web Services (AWS) Credits for Research.

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