islnc
a tool to recognize novel long non coding transcripts
Select species: human (hg38)
mouse (mm10)
zebrafish (danRer7)
Select the groups of features ORF Conservation score Nucleotides Repeat elements
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

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Output format: html csv
References: 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. BMC Bioinformatics (2017)

Nothing to classify. No input received!