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Juli Caujapé‐Castells Izzat Sabbagh José J. Castellano Rafael Ramos Víctor Henríquez Francisco M. Quintana Dailos A. Medina Javier Toledo Fernando Ramírez Juan F. Rodríguez 《Molecular ecology resources》2013,13(3):484-493
Transformer‐4 version 2.0.1 (T4) is a multi‐platform freeware programmed in java that can transform a genotype matrix in Excel or XML format into the input formats of one or several of the most commonly used population genetic software, for any possible combination of the populations that the matrix contains. T4 also allows the users to (i) draw allozyme gel interpretations for any number of diploid individuals, and then generate a genotype matrix ready to be used by T4; and (ii) produce basic reports about the data in the matrices. Furthermore, T4 is the only way to optionally submit ‘genetic diversity digests’ for publication in the Demiurge online information system ( http://www.demiurge-project.org ). Each such digest undergoes peer‐review, and it consists of a geo‐referenced data matrix in the tfm4 format plus any ancillary document or hyperlink that the digest authors see fit to include. The complementarity between T4 and Demiurge facilitates a free, safe, permanent, and standardized data archival and analysis system for researchers, and may also be a convenient resource for scientific journals, public administrations, or higher educators. T4 and its converters are freely available (at, respectively, http://www.demiurge-project.org/download_t4 and http://www.demiurge-project.org/converterstore ) upon registration in the Demiurge information system ( http://demiurge-project.org/register ). Users have to click on the link provided on an account validation email, and accept Demiurge's terms of use (see http://www.demiurge-project.org/termsofuse ). A thorough user's guide is available within T4. A 3‐min promotional video about T4 and Demiurge can be seen at http://vimeo.com/29828406 . 相似文献
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Shadab Ahmad Pathan Sanjar Alam Gaurav K. Jain Syed M. A. Zaidi Sohail Akhter Divya Vohora Roop K. Khar Farhan J. Ahmad 《Phytochemical analysis : PCA》2010,21(3):219-223
Introduction – Safranal is an effective anticonvulsant shown to act as an agonist at GABAA receptors. Nose to brain delivery via nanoparticle formulation might improve its brain delivery. A selective and sensitive analytical method is required for evaluation of safranal‐based novel drug delivery systems. Objective – To develop and validate a high‐performance thin‐layer chromatographic (HPTLC) method for the quantitative analysis of safranal as bulk, in saffron extract and in developed safranal‐loaded nanoparticle formulation. Methodology – Chromatographic separation was achieved on silica gel pre‐coated TLC aluminium plates 60F‐254, using n‐hexane:ethyl acetate (9 : 1, v/v) as the mobile phase. Quantitative analysis was carried out by densitometry at a wavelength of 310 nm. The method was validated and applied to detect related impurities, to analyse safranal in saffron extract and to evaluate safranal‐loaded nanoparticles. Results – Compact spots of safranal were observed at Rf value 0.51 ± 0.02. The method was linear (r = 0.9991) between 0.5 and 5.0 μg/spot. The intra‐ and inter‐day precisions were 1.08–2.17 and 1. 86–3.47%, respectively. The limit of detection was 50 ng/spot and the limit of quantification was 150 ng/spot. The method proved to be accurate (recovery 97.4–102.0%) and was selective for safranal. Evaluation of safranal‐loaded nanoparticle formulation demonstrated drug loading of 23.0%, encapsulation efficiency of 42.0% and sustained drug release following biphasic pattern. Conclusion – The present method is useful for the quantitative and qualitative analysis of safranal and safranal‐loaded nanoparticle formulation. It provides significant advantages in terms of greater specificity and rapid analysis. Copyright © 2009 John Wiley & Sons, Ltd. 相似文献