Call for participation

With advances in proteomic technologies such as tandem mass spectrometers, a large amount of proteomic data have been and continue to be produced. These data combined with genomic data contain insightful information for understanding the mechanism of biological systems and have been proved useful in diagnosis, treatment, and drug design for genomic-alerted diseases. However, compared to genomic data, much less attention has been paid to proteomic data.

As proteomic data are large-scale, it is not possible to manually analyze these data. Therefore Computing plays a key role in proteomics. In this workshop, we strongly encourage authors to submit their original studies describing their algorithmic and methodological contributions to proteomics.

The selected papers from the workshop will be invited to submit to a special issue of either prestigious (SCI-indexed) journals, Proteomics, or Proteome Science.