@article {Rua2011,
	title = {{New polymorphic mitochondrial markers for sponge phylogeography}},
	journal = {Journal of the Marine Biological Association of the United Kingdom},
	volume = {91},
	number = {05},
	year = {2011},
	pages = {1015{\textendash}1022},
	publisher = {Cambridge University Press},
	issn = {0025-3154},
	doi = {10.1017/S0025315410002122},
	url = {http://journals.cambridge.org/abstract\_S0025315410002122},
	author = {Rua, Cintia P.J. and Zilberberg, Carla and Sol{\'e}-Cava, Antonio M.}
}
@article {Tamura2011,
	title = {{MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.}},
	journal = {Molecular biology and evolution},
	volume = {28},
	number = {10},
	year = {2011},
	month = {oct},
	pages = {2731{\textendash}9},
	abstract = {Comparative analysis of molecular sequence data is essential for reconstructing the evolutionary histories of species and inferring the nature and extent of selective forces shaping the evolution of genes and species. Here, we announce the release of Molecular Evolutionary Genetics Analysis version 5 (MEGA5), which is a user-friendly software for mining online databases, building sequence alignments and phylogenetic trees, and using methods of evolutionary bioinformatics in basic biology, biomedicine, and evolution. The newest addition in MEGA5 is a collection of maximum likelihood (ML) analyses for inferring evolutionary trees, selecting best-fit substitution models (nucleotide or amino acid), inferring ancestral states and sequences (along with probabilities), and estimating evolutionary rates site-by-site. In computer simulation analyses, ML tree inference algorithms in MEGA5 compared favorably with other software packages in terms of computational efficiency and the accuracy of the estimates of phylogenetic trees, substitution parameters, and rate variation among sites. The MEGA user interface has now been enhanced to be activity driven to make it easier for the use of both beginners and experienced scientists. This version of MEGA is intended for the Windows platform, and it has been configured for effective use on Mac OS X and Linux desktops. It is available free of charge from http://www.megasoftware.net.},
	keywords = {Algorithms, Amino Acid Substitution, Bayes Theorem, Computational Biology, Computational Biology: methods, Computer Simulation, Data Mining, Data Mining: methods, Databases, DNA, Evolution, Genetic, Internet, Likelihood Functions, Models, Molecular, Molecular Biology, Molecular Biology: methods, Mutation, Phylogeny, Sequence Alignment, Sequence Analysis, User-Computer Interface},
	issn = {1537-1719},
	doi = {10.1093/molbev/msr121},
	url = {http://mbe.oxfordjournals.org/content/28/10/2731.abstract},
	author = {Tamura, Koichiro and Peterson, Daniel and Peterson, Nicholas and Stecher, Glen and Nei, Masatoshi and Kumar, Sudhir}
}
@booklet {TheMendeleySupportTeam2011,
	title = {{Getting Started with Mendeley}},
	howpublished = {Mendeley Desktop},
	year = {2011},
	pages = {1{\textendash}16},
	publisher = {Mendeley Ltd.},
	address = {London},
	abstract = {A quick introduction to Mendeley. Learn how Mendeley creates your personal digital library, how to organize and annotate documents, how to collaborate and share with colleagues, and how to generate citations and bibliographies.},
	keywords = {how-to, Mendeley, user manual},
	url = {http://www.mendeley.com},
	author = {{The Mendeley Support Team}}
}
