SCHNEL: scalable clustering of high dimensional single-cell data.

Motivation: Single cell data measures multiple cellular markers at the single-cell level for thousands to millions of cells. Identification of distinct cell populations is a key step for further biological understanding, usually performed by clustering this data. Dimensionality reduction based clustering tools are either not scalable to large datasets containing millions of cells, or not fully automated requiring an initial manual estimation of the number of clusters.

Fast, selective and quantitative protein profiling of adenovirus-vector based vaccines by ultra-performance liquid chromatography.

A method for the quantitative determination of the protein composition of adenovirus-vector based vaccines was developed. The final method used RP-UPLC with UV absorbance detection, a C4 column (300 Å, 1.7 μm, 2.

The 1901 uganda sleeping sickness epidemic revisited: a case of mistaken identity?

The great sleeping sickness epidemic that occurred in Busoga at the turn of the century was caused by a trypanosome identified by Bruce as Trypanosoma gambiense. A study of trypanosomes from the recent epidemic in southeast Uganda has shed new light on the origins of the disease in Busoga. Thorsten Koerner, Peter de Raadt and Ian Maudlin suggest that the epidemic of the turn of the century was of T.

The burden of tropical diseases.

More than half the world's population is at risk of the tropical diseases malaria, leprosy, schistosomiasis, lymphatic filariasis, onchocerciasis, Chagas disease, African trypanosomiasis and leishmaniasis, and half a billion people are infected with at least one of these diseases. We present statistic on the population at risk and the infected population, and on the major morbidity and mortality attributable to each of these diseases. During the next decade the prevalence of leprosy, Chagas disease, and onchocerciasis is expected to fall, but for the other tropical diseases the epidemiological situation may remain stagnant or even worsen.