This month’s issue contains two Applications article and one Open Access article, all of which are freely available.
– LEA: This R package enables users to run ecological association studies from the R command line. It can perform analyses of population structure and genome scans for adaptive alleles from large genomic data sets. The package derives advantages from R programming functionalities to adjust significance values for multiple testing issues and to visualize results.
–PIPITS: An open-source stand-alone suite of software for automated processing of Illumina MiSeq sequences for fungal community analysis. PIPITS exploits a number of state of the art applications to process paired-end reads from quality filtering to producing OTU abundance tables.
Giovanni Strona and Joseph Veech provide this month’s Open Access article. Many studies have focused on nestedness, a pattern reflecting the tendency of network nodes to share interaction partners, as a method of measuring the structure of ecological networks. In ‘A new measure of ecological network structure based on node overlap and segregation‘ the authors introduce a new statistical procedure to measure both this kind of structure and the opposite one (i.e. species’ tendency against sharing interacting partners).
On Friday, we gave some more information about the research articles in this Virtual Issue. In this post, we will be focusing on the Applications papers.
Applications papers introduce new tools for research, which provide practitioners with an important source of information and background on the tools they use. In this Virtual Issue we have highlighted the newest Applications papers that describe how phylogenetic methods are contributing to the fields of ecology and evolution. These include tools with aims as diverse as phylogenetic tree reconstruction and analysing phylogenetic diversity in communities. All Applications papers, not just those in the Virtual Issue, are free to access.
You can see a little more information on each of the Applications Papers below.