What it does
This calls the NLStradamus tool for prediction of nuclear localization signals (NLSs), which uses a Hidden Markov Model (HMM).
The input is a FASTA file of protein sequences, and the output is tabular with six columns (one row per NLS):
- Sequence identifier
- Algorithm (posterior or Viterbi)
- Score (probability between threshold and 1 for posterior algorithm)
- Sequence of NLS
A. N. Nguyen Ba, A. Pogoutse, N. Provart, A. M. Moses. NLStradamus: a simple Hidden Markov Model for nuclear localization signal prediction. BMC Bioinformatics. 2009 Jun 29;10(1):202.