Transcriptomic and proteomic samples were collected in a systematic manner to generate a comprehensive dataset that provides a powerful resource for modeling pathogen-host interactions.
Briefly, KOWEPS is a comprehensive dataset that provides a variety of information on families and individuals with respect to their social service needs, heath care utilization patterns, economic and demographic background, sources of income, and subjective emotional and behavioral health status.
Nevertheless, we obtained a rich qualitative dataset that provides a previously unavailable perspective on rotavirus gastroenteritis.
Raw data that is harvested across various sources, online, and proprietary, as required by the case context, is refined and curated to create a coherent and consistent dataset that provides a solid base for the analysis.
To compare PTMClust against standard clustering algorithms on the problem of finding correct groupings of modifications, we generated a synthetic PTM dataset that provides us with ground truth.
Relationships among 'Chromalveolata' were recently tested using a 16-nuclear protein dataset that provided moderate bootstrap support for 'Chromalveolata' monophyly when including 'Rhizaria' (see inset in Fig. 1; [ 30]).
Not only has the role of empirical work in economics increased sharply over the last 20 years but also has now a growing number of datasets that provide detailed information on genetic characteristics.
However, meteorological records mostly began in the 1950s, and paleoenvironmental datasets that provide a longer-term context to recent climate change are limited in number and often from single sites [7] and/or discontinuous in time [10, 11].
On the basis of these findings we performed a gene expression analysis on four available breast cancer datasets that provide clinical information on the occurrence of distal metastasis.
Computationally predicted transcription factor binding scores are provided as whole gene (i.e. Refseq) scores that assess the overall likelihood of a transcription factor binding within the gene's promoter and high resolution datasets that provide locations of putative TF binding sites at the same resolution used for ChIP-chip and ChIP-seq data.
