ChloroP annotates chloroplast localisation by predicting the presence of a putative cTP sequence. ChloroP generates localisation scores in the range [0.410, 0.601], with scores [0.500, 0.601] representing affirmative predictions that are stored in Rice DB.
Emanuelsson O, Nielsen H, von Heijne G. ChloroP, a neural network-based method for predicting chloroplast transit peptides and their cleavage sites. Protein Science, 8:978-984, 2006.
Example: show ChloroP for LOC_Os02g07760.1
Transcript of last update
Took 44 seconds, 617 millis starting Thu, 26 Jul 2012 03:59:02 GMT: Using /var/folders/75/983jwhw537q11ck7b_b0zwf80000gn/T/RiceDB/ChloroPPredictor_ Using db.local/downloaded/ChloroPPredictor_ Using chlorop.csv Wed May 09 08:51:18 WST 2012 SQL data loaded Location statistics summarised Full-text index and stems updated