BAM-matcher: a tool for rapid NGS sample matching

Matcher Composition Methods for Automatic Schema Matching

We address the problem of automating the process of deciding whether two data schema elements match (that is, refer to the same actual object or concept), and propose several methods for combining evidence computed by multiple basic matchers. One class of methods uses Bayesian networks to account for the conditional dependency between the similarity values produced by individual matchers that u...

ngsCAT Capture Assessment Tool for NGS data

Geno viewer, a SAM/BAM viewer tool

UNLABELLED The ever evolving Next Generation Sequencing technology is calling for new and innovative ways of data processing and visualization. Following a detailed survey of the current needs of researchers and service providers, the authors have developed GenoViewer: a highly user-friendly, easy-to-operate SAM/BAM viewer and aligner tool. GenoViewer enables fast and efficient NGS assembly bro...

Bayesian Networks for Matcher Composition in Automatic Schema Matching

We propose a method for accurate combining of evidence supplied by multiple individual matchers regarding whether two data schema elements match (refer to the same object or concept), or not, in the field of automatic schema matching. The method uses a Bayesian network to model correctly the statistical correlations between the similarity values produced by individual matchers that use the same...

SDD-matcher: a semantic-driven data matching framework

A generic semantic-driven data matching framework (SDD-Matcher) has been designed and developed for matching data objects across organizations. It contains matching algorithms at three different levels: string, lexical and graph. The level of graph is also called ontological or conceptual level. Those matching algorithms are the basic building blocks of an SDDMatcher matching strategy, each of ...