In this paper, neural architectures for controlling non-linear plants with parameter variation are proposed. In the "rst part of the document, the concept of specialized learning over an operation region is considered in order to identify the inverse dynamics of a given plant. Some aspects concernin
Proteome analysis of non-model plants: A challenging but powerful approach
โ Scribed by Sebastien Christian Carpentier; Bart Panis; Annelies Vertommen; Rony Swennen; Kjell Sergeant; Jenny Renaut; Kris Laukens; Erwin Witters; Bart Samyn; Bart Devreese
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 528 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0277-7037
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โฆ Synopsis
Abstract
Biological research has focused in the past on model organisms and most of the functional genomics studies in the field of plant sciences are still performed on model species or species that are characterized to a great extent. However, numerous nonโmodel plants are essential as food, feed, or energy resource. Some features and processes are unique to these plant species or families and cannot be approached via a model plant. The power of all proteomic and transcriptomic methods, that is, highโthroughput identification of candidate gene products, tends to be lost in nonโmodel species due to the lack of genomic information or due to the sequence divergence to a related model organism. Nevertheless, a proteomics approach has a great potential to study nonโmodel species. This work reviews nonโmodel plants from a proteomic angle and provides an outline of the problems encountered when initiating the proteome analysis of a nonโmodel organism. The review tackles problems associated with (i) sample preparation, (ii) the analysis and interpretation of a complex data set, (iii) the protein identification via MS, and (iv) data management and integration. We will illustrate the power of 2DE for nonโmodel plants in combination with multivariate data analysis and MS/MS identification and will evaluate possible alternatives. ยฉ 2008 Wiley Periodicals, Inc., Mass Spec Rev 27: 354โ377, 2008
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