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User-friendly sequence analysis systems (e.g. Galaxy) have demonstrated flexibility, user-friendly interface and robust workflow design especially for users without deep bioinformatics experience.
Making use of the Artemis libraries to provide a user-friendly method of loading in sequence files (EMBL, GenBank, GFF) as well as data from relational databases, it filters features of interest to display on separate user-definable tracks.
BioCluster provides a user-friendly, easy method for the rapid clustering and identification of Enterobacteriaceae species based on biochemical properties.
ICN, a user-friendly method, can well complement other network-based methods in the context of prioritizing candidate disease genes.
We aimed to develop a user-friendly method to correct for this genotype misclassification, as existing methods were not suitable for use in our study.
It provides a user-friendly method for filtering, merging, and clustering LRpath results using several approaches (see Methods).
The statistical method we have described in this paper provides a novel and user-friendly method of correcting for differential genotyping error.
The latter are solved thanks to a meshless approach to obtain a user-friendly method.
It provides a user-friendly method for filtering, merging, and clustering LRpath results using several options.
As a settings-free optimization procedure, it is the most user-friendly method.
We have integrated BS-Seeker2 into Galaxy to generate a user-friendly bisulfite sequencing read aligner.
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