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Citations per year

Number of citations per year for the bioinformatics software tool AIoutput
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Protocols

AIoutput specifications

Information


Unique identifier OMICS_25196
Name AIoutput
Alternative name AIoutput2
Software type Application/Script
Interface Graphical user interface
Restrictions to use None
Operating system Windows
Programming languages Visual Basic
Computer skills Medium
Version 1.30
Stability Stable
Maintained Yes

Versioning


No version available

Maintainer


  • person_outline Eiichiro Fukusaki

Additional information


http://prime.psc.riken.jp/Metabolomics_Software/AIoutput/index.html

Publications for AIoutput

AIoutput citations

 (8)
library_books

Seed Metabolome Analysis of a Transgenic Rice Line Expressing Cholera Toxin B subunit

2017
Sci Rep
PMCID: 5507873
PMID: 28701756
DOI: 10.1038/s41598-017-04701-w

[…] per 100 scans = 35; min. factor (× noise) at the 1st and last iterations = 7 each; min. number of masses at the 1st and last iterations = 10 and 5, respectively. The processed data was imported into AIoutput2 version 1.30 (http://prime.psc.riken.jp/Metabolomics_Software/AIoutput/index.html) to deconvolute ion peaks to metabolite-candidate peaks, to convert retention time to retention index values […]

call_split

Distinct signatures of dental plaque metabolic byproducts dictated by periodontal inflammatory status

2017
Sci Rep
PMCID: 5318866
PMID: 28220901
DOI: 10.1038/srep42818
call_split See protocol

[…] .25 mm i.d. with 0.25-μm film thickness, GL Science Inc., Tokyo, Japan) and an AOC-20i autosampler (Shimadzu). Peaks were detected and aligned using MetAlign software. Obtained data were processed by AIoutput software in order to produce a peak matrix, then the peaks were annotated by comparing retention indices and unique mass spectra, with the reference library prepared from authentic standards. […]

library_books

A metabolomics based strategy for identification of gene targets for phenotype improvement and its application to 1 butanol tolerance in Saccharomyces cerevisiae

2015
Biotechnol Biofuels
PMCID: 4570087
PMID: 26379776
DOI: 10.1186/s13068-015-0330-z

[…] ative compound memberships in an unsupervised manner to each mass peak, and the peak retention times were adjusted according to compound membership. The adjusted data matrices were then imported into AIoutput2 ver.1.29 [] for automated RI-based compound identification and quantification. The parameters used for MetAlign, MSClust and AIoutput2 are provided in Additional file : Table S4. To account […]

call_split

Identification of putative biomarkers for prediabetes by metabolome analysis of rat models of type 2 diabetes

2015
Metabolomics
PMCID: 4559098
PMID: 26366137
DOI: 10.1007/s11306-015-0784-9
call_split See protocol

[…] tection and alignment were performed using the MetAlign software (Wageningen UR, The Netherlands). The resultant data were exported in CSV format, and then analyzed with in-house analytical software (AIoutput), which enables peak identification and semi-quantification using an in-house metabolite library. For semi-quantification, the peak height of a particular ion for each metabolite was normaliz […]

call_split

Novel Strategy for Non Targeted Isotope Assisted Metabolomics by Means of Metabolic Turnover and Multivariate Analysis

2014
PMCID: 4192689
PMID: 25257997
DOI: 10.3390/metabo4030722
call_split See protocol

[…] ver analysis. Negative peak areas were treated as zero. The isotopomer ratio (IR) was calculated using Equation (1). The data were standardized by the maximum value of each metabolite.MetAlign [] and AIoutput [] were used for automatic metabolite identification. The identified peaks were also verified manually by comparing the spectra of samples to the library. Only the data from non-labeled sampl […]

library_books

Metabolome Analysis of Drosophila melanogaster during Embryogenesis

2014
PLoS One
PMCID: 4133167
PMID: 25121768
DOI: 10.1371/journal.pone.0099519

[…] lable for free at the website http://www.pri.wur.nl/UK/products/MetAlign/) for peak selection and alignment. The peak intensity of each compound was normalized based on the ribitol internal standard. AIoutput2 (version 1.29) was used as annotation software. The retention indices of all detected metabolites were calculated based on the standard alkane mixture and tentative identification of metabol […]


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AIoutput institution(s)
Department of Bioengineering, Graduate School of Engineering, Osaka University, Osaka, Japan; Department of Biophysics and Biochemistry, Graduate School of Science, The University of Tokyo, Tokyo, Japan

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