3D resistivity gridding of large AEM datasets: A step toward enhanced geological interpretation

Sma3s: A Three-Step Modular Annotator for Large Sequence Datasets

Automatic sequence annotation is an essential component of modern 'omics' studies, which aim to extract information from large collections of sequence data. Most existing tools use sequence homology to establish evolutionary relationships and assign putative functions to sequences. However, it can be difficult to define a similarity threshold that achieves sufficient coverage without sacrificin...

Structured Network Public Spaces a Step Toward Integration of Urban

Network of public spaces composes of a network of interconnected land use and various elements of the city, such as synthetic and natural which shows the city as a whole. Network structure of public spaces is important because understanding this network as a structure presents us the formation of the city. This paper attempts to define the status of the network of public spaces in the city stru...

Geometry-Guided Computation of 3D Electrostatics for Large Molecular Datasets

Electrostatic interactions play a central role in biological processes. Development of fast computational methods to solve the underlying Poisson-Boltzmann equation (PBE) is vital for biomolecular modeling and simulation package. In this paper, we propose new methods for efficiently computing the electrostatic potentials for large molecules by using the geometry of the molecular shapes to guide...

Kant on the "A priori" Toward an Interpretation

Toward deciphering the knowledge encrypted in large datasets.

In the discussions that took place during formulation of the charter of this journal, it was clear that the research community had embarked on a challenging quest to identify and describe the totality of cellular protein expression in unprecedented detail. In addition, interest in exploring global studies of quantitative changes in levels of expression or posttranslational status would require ...