Predict the SubCellular Location of lncRNAs by using Nucleotide Compositions

Input:

The system will take one RNA sequence at a time.

Example:

CAGGCUCAGUCACAGGCUCAGUCACAGGCUCAGUUACAGGCUCAGUUACAG...

-or-

CAGGCUCAGUCACAGGCUCAGUCACAGGCUCAGUUACAGGCUCAGUUACAGUAGUUGCCGUGGCACAGGCGCAGGCACACGCACACGCACAUGCUGCCCAGGCCAGGAUACUUAUUCUACGCCACAAACCAUCUGGACGGCAAAGCCCAUGGG...

For details data set click Here

Rna Sequence

Predict

Output:

The output will contain following columns

• Rna Sequence: This column contains inputted RNA sequences.
• Predicted Location: Identified location by the algorithm.
• Probabilities for Class "cytoplasm": Confidence of location being cytoplasm.
• Probabilities for Class "exosome": Confidence of location being exosome.
• Probabilities for Class "nucleus": Confidence of location being nucleus.
• Probabilities for Class "ribosome": Confidence of location being ribosome.

Example:

Rna Sequence	Predicted Location	Probabilities for Class "cytoplasm"	Probabilities for Class "exosome"	Probabilities for Class "nucleus"	Probabilities for Class "ribosome"
GCTTTGGGCCTGGCTGG...	cytoplasm	0.52	0.16	0.17	0.16