2,341 research outputs found
Detecting differential usage of exons from RNA-Seq data
RNA-Seq is a powerful tool for the study of alternative splicing and other forms of alternative isoform expression. Understanding the regulation of these processes requires comparisons between treatments, tissues or conditions. For the analysis of such experiments, we present _DEXSeq_, a statistical method to test for differential exon usage in RNA-Seq data. _DEXSeq_ employs generalized linear models and offers good detection power and reliable control of false discoveries by taking biological variation into account. An implementation is available as an R/Bioconductor package
Towards a Precise Semantics for Object-Oriented Modeling Techniques
In this paper we present a possible way how a precise semantics of object
oriented modeling techniques can be achieved and what the possible benefits are
.We outline the main modeling techniques used in the SysLab project sketch how
a precise semantics can be given and how this semantics can be used during the
development process.Comment: 6 pages, 0 figure
Time-Encoded Raman: Fiber-based, hyperspectral, broadband stimulated Raman microscopy
Raman sensing and Raman microscopy are amongst the most specific optical
technologies to identify the chemical compounds of unknown samples, and to
enable label-free biomedical imaging with molecular contrast. However, the high
cost and complexity, low speed, and incomplete spectral information provided by
current technology are major challenges preventing more widespread application
of Raman systems. To overcome these limitations, we developed a new method for
stimulated Raman spectroscopy and Raman imaging using continuous wave (CW),
rapidly wavelength swept lasers. Our all-fiber, time-encoded Raman (TICO-Raman)
setup uses a Fourier Domain Mode Locked (FDML) laser source to achieve a unique
combination of high speed, broad spectral coverage (750 cm-1 - 3150 cm-1) and
high resolution (0.5 cm-1). The Raman information is directly encoded and
acquired in time. We demonstrate quantitative chemical analysis of a solvent
mixture and hyperspectral Raman microscopy with molecular contrast of plant
cells.Comment: 9 pages, 4 figure
Making the most of high-throughput protein-interaction data
Better methods of statistical analysis could make large-scale protein-interaction data more useful
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