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Citations per year

Number of citations per year for the bioinformatics software tool ABBA

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ABBA specifications


Unique identifier OMICS_16319
Alternative name Approximate Bayesian Bisulphite sequencing Analysis
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Javascript, Perl, R
License MIT License
Computer skills Advanced
Stability Stable
Maintained Yes




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  • person_outline Enrico Petretto

Publication for Approximate Bayesian Bisulphite sequencing Analysis

ABBA citation


Parent initiated prednisolone for acute asthma in children of school age: randomised controlled crossover trial

PMCID: 2830420
PMID: 20194353
DOI: 10.1136/bmj.c843

[…] We randomised episodes of acute asthma, rather than participants. Participants were randomly assigned to one of four sequences of study medication (ABAB, ABBA, BAAB, or BABA, where A=prednisolone and B=placebo). Each discrete episode of acute asthma was treated with one or the other of the parent initiated study medications (A or B) in the sequence spe […]

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ABBA funding source(s)
This research was funded by Engineering and Physical Sciences Research Council Grant EP/K030760/1, The Alan Turing Institute under the EPSRC grant EP/N510129/1, Royal Society IE110977, European Union (European Social Fund - ESF), Greek national funds through the Operational Program "Education and Lifelong Learning'' of the National Strategic Reference Framework (NSRF), project ARISTEIA, Duke-NUS Medical School and Singapore Ministry of Health, a Medical Research Council Chain-Florey fellowship, the Medical Research Council (MR/M004716/1) and by Kidney Research UK - RP9/2013.

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