In which I have a very, very thorough walk through the relevant literature about gender and the workplace, and.... uh, cite over a hundred peer reviewed works in doing so while I refute effectively ever point I can find in Mr. Damore's 'memo.' I'm currently working on getting the footnotes linked within the piece and getting a functional table of contents rolling, but this is up and linkable for anyone as of right this second. All effort has been made to find non-paywalled PDFs of all links cited in the document. [more inside]
Our group at the University of North Carolina has just published a paper (open access) on an exciting new female meiotic drive system that we call R2d2. There is also a nice accompanying perspective article (also open access) from researchers at the Fred Hutchinson Cancer Institute in Seattle. Read on for a short description of meiotic drive and the findings of the paper. [more inside]
I've spent the last few years trekking around the tropics and doing ant research. Here are the insect photographs I've built up in this time, with relevant taxonomic/natural history information, and some .gifs for good measure. Expect sparse updates as I find and document more neat ant things. [more inside]
Hello and welcome to Links to the Damn Paper, an open discussion community showcasing the best in freely-available biology research. If you’ve ever tried to have a discussion about science on the Web and been stymied and frustrated by inaccessible articles, misrepresentation of research in science journalism, or a community that seems uninterested in digging into the actual research behind a topic, then welcome: you are our people. If you’ve ever wished for a place to talk about the Science of Life where you could be sure that the actual articles were available, where compelling research was presented in a way that allowed it to speak for itself, and where you could discuss science with actual scientists and with other people who are passionate about science for its own sake, then you have found your haven. [more inside]
BEDOPS is a suite of tools to address common questions raised in genomic studies, mostly with regard to overlap and proximity relationships between data sets. BEDOPS aims to be scalable, flexible and performant, facilitating the efficient and accurate analysis and management of large-scale genomic data.