a tool to recognize novel long non coding transcripts
Select the groups of features
Input format (due to server load only the first 100 transcripts will be classified for each run)
Conservation scores and repeats are ignored for fasta input. Gtf input is assumed with UCSC coordinates Upload file:
Or paste your text here:
Giovanna M. Ventola, Teresa M.R. Noviello, Salvatore D'Aniello, Antonietta Spagnuolo, Michele Ceccarelli and Luigi Cerulo.
Identification of long non-coding transcripts with feature selection: a comparative study.
Nothing to classify. No input received!