Mass spectrometry instruments measure the mass to charge ratio of ions, from which we
infer the molecular structures. They are key tools for investigating the incredibly diverse …

Data-intensive research depends on tools that manage multidimensional, heterogeneous
datasets. We built OME Remote Objects (OMERO), a software platform that enables access …

Motivation Most existing coverage-based (epi) genomic datasets are one-dimensional, but
newer technologies probing interactions (physical, genetic, etc.) produce quantitative maps …

Phenotypic image analysis is the task of recognizing variations in cell properties using
microscopic image data. These variations, produced through a complex web of interactions …

Data Exchange is a simple data model designed to interface, orexchange', data among
different instruments, and to enable sharing of data analysis tools. Data Exchange focuses …

Over the past decade, major leaps forward have been made on the mechanistic
understanding and identification of adaptive stress response landscapes underlying toxic …

In this paper we suggest an extension to the Industry Foundation Classes (IFC) model to
integrate point cloud datasets. The proposal includes a schema extension to the core model …

Recent years have seen an increasing number of scientists employ data parallel computing
frameworks such as MapReduce and Hadoop to run data intensive applications and …

Whereas genomic data are universally machine-readable, data from imaging, multiplex
biochemistry, flow cytometry and other cell-and tissue-based assays usually reside in …

Across a host of MS-driven-omics fields, researchers witness the acquisition of ever
increasing amounts of high throughput MS data and face the need for their compact yet …