Freiburg RNA Tools
BrainDead - RNA classification via accessible k-mers
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BrainDead

BrainDead - RNA classification via accessible k-mers

BrainDead learns and predicts a two-class model for short RNA sequences based on accessibility-enhanced k-mer features. That is, the model considers whether or not k-mers are covered by intra-molecular or homo-dimer base pairs of stable structures or RNA-RNA interactions.

For articles describing the tool and webserver refer to the reference section below. Please cite us when using our tools.
For more information check the help page.

Try BrainDead with this example: miRNAs as ligands for microglia activation (input|result) ?

Training data

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Candidate data

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When using BrainDead please cite :

Results are computed with BrainDead version 1.0.1 using IntaRNA 3.1.5 and Vienna RNA package 2.4.14