The khmer package is a freely available software library for working efficiently with fixed length DNA words, or k-mers. khmer provides implementations of a probabilistic k-mer counting data structure, a compressible De Bruijn graph representation, De Bruijn graph partitioning, and digital normalization. khmer is implemented in C++ and Python, and is freely available under the BSD license at
https://github.com/dib-lab/khmer/.
The Worldwide Protein Data Bank (wwPDB; wwpdb.org) is the international collaboration that manages the deposition, processing and distribution of the PDB archive. The online PDB archive at ftp://ftp.wwpdb.org is the repository for the coordinates and related information for more than 47 000 structures, including proteins, nucleic acids and large macromolecular complexes that have been determined using X-ray crystallography, NMR and electron microscopy techniques. The members of the wwPDB–RCSB PDB (USA), MSD-EBI (Europe), PDBj (Japan) and BMRB (USA)–have remediated this archive to address inconsistencies that have been introduced over the years. The scope and methods used in this project are presented.
Cryptococcus neoformans is an opportunistic fungal pathogen responsible for serious meningitis. Although many useful molecular tools have been developed for its study, there are currently few inducible promoters available for general use. To address this need, we have constructed expression plasmids incorporating upstream elements of the C. neoformans copper transporter gene CTR4, and tested them in C. neoformans serotypes A and D. In response to copper deprivation, these plasmids mediate high-level expression of a reporter protein. This expression can be completely repressed using physiologically low concentrations of copper. Notably, this new family of copper-sensing promoters demonstrates excellent expression in serotype A, contrasting with other available promoters. These plasmids therefore offer efficient and regulated expression for both serotypes A and D, and should be valuable tools for the C. neoformans research community.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.