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Bioinformatics analysis was based on the ImmuSort Database (http://immusort.bjmu.edu.cn).
5, 10 The interpretation of the bioinformatics analysis was based on results from KEGG pathways focusing on those most impacted.
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The bioinformatics analysis is based on MiMIC insertion site list (release version 27-02-2013) (Venken et al. 2011) and the Flybase (http://flybase.org) Drosophila melanogaster genome annotation version 5.51 (FlyBase Genome 2013).
Initial bioinformatic analysis was based on rank product.
The bioinformatic analysis was based on the experimental determination of the reporter gene activities of 185 clones carrying randomized ribosome binding sites [ 5].
All bioinformatic functional analysis was based on gene sets from GO [ 36], KEGG [ 37] and mSigDB [ 38].
To interpret the biological significance of the microarray data our first analysis was based on Gene Ontology (GO) [ 34] bioinformatic approaches.
The analysis was based on the availability of an expressed sequence tag (EST) resource and a functionally-integrated bioinformatics database.
With MaxQuant being only one example, we anticipate that our portlet will be widely applicable in bioinformatics pipelines where decisions of the analysis are based on the corresponding metadata.
Our analysis is based on three ratios.
Bioinformatics analysis was carried out to categorize proteins based on biological processes, cellular component and molecular function using annotations in Human Protein Reference Database (HPRD) [ 15, 16], which is in compliance with gene ontology (GO) standards.
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