Identification of Novel Plant Peroxisomal Targeting Signals by a Combination of Machine Learning Methods and in Vivo Subcellular Targeting Analyses([W])

In the postgenomic era, accurate prediction tools are essential for identification of the proteomes of cell organelles. Prediction methods have been developed for peroxisome-targeted proteins in animals and fungi but are missing specifically for plants. For development of a predictor for plant prote...

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Detaylı Bibliyografya
Asıl Yazarlar: Lingner, Thomas, Kataya, Amr R., Antonicelli, Gerardo E., Benichou, Aline, Nilssen, Kjersti, Chen, Xiong-Yan, Siemsen, Tanja, Morgenstern, Burkhard, Meinicke, Peter, Reumann, Sigrun
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: American Society of Plant Biologists 2011
Konular:
Research Articles
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC3101550/
https://ncbi.nlm.nih.gov/pubmed/21487095
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1105/tpc.111.084095
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