Geneways for Biocomputing

GeneWays: a system for extracting, analyzing, visualizing, and integrating molecular pathway data

The immense growth in the volume of research literature and experimental data in the field of molecular biology calls for efficient automatic methods to capture and store information. In recent years, several groups have worked on specific problems in this area, such as automated selection of articles pertinent to molecular biology, or automated extraction of information using natural-language ...

Machine learning and deep analytics for biocomputing: call for better explainability.

The goals of this workshop are to discuss challenges in explainability of current Machine Leaning and Deep Analytics (MLDA) used in biocomputing and to start the discussion on ways to improve it. We define explainability in MLDA as easy to use information explaining why and how the MLDA approach made its decisions. We believe that much greater effort is needed to address the issue of MLDA expla...

Computational Approaches to Understanding the Evolution of Molecular Function.

The following sections are included:IntroductionOverview of ContributionsReferences.

Emerging Challenges in Multiscale Modeling in Biology.

Facilities for exploring molecular biology databases on the Web: a comparative study.

We discuss criteria for evaluating and comparing the main facilities provided by molecular biology databases (MBDs) for exploring (that is, retrieving and interpreting data) on the Web. We use these criteria for examining the facilities supported by typical MBDs such as Genbank, AtDB, GSDB, GDB, and MGD (as of September 5, 1996).