iFORM: incorporating Find Occurrence of Regulatory Motifs

Accurately identifying binding sites of transcription factors (TFs) is crucial to understand the mechanisms of transcriptional regulation and human disease. We present incorporating Find Occurrence of Regulatory Motifs (iFORM), an easy-to-use tool for scanning DNA sequence with TF motifs described as position weight matrices (PWMs). iFORM achieves higher accuracy and sensitivity by integrating the results from five classical motif discovery programs based on Fisher's combined probability test. We have used iFORM to provide accurate results on a variety of data in the ENCODE Project and the NIH Roadmap Epigenomics Project, and has demonstrated its utility to further understand individual roles of functional elements.iFORM can be freely accessed athttps://github.com/wenjiegroup/iFORM.

Fusing geophysical signatures of locally recorded surface explosions to improve blast detection

We recorded acoustic, seismic and radio-frequency signatures of 70 solid charge (∼2–12 kg) surface explosions (shots) at local distances (0.1–1.5 km) to determine if such signals could be fused for blast monitoring. We observed that each geophysical signature was sufficiently repeatable between similar shots to be identifiable with multichannel correlation detectors. Using template signals from a large explosion, we then processed heavily contaminated data recording a smaller shot with these detectors, and missed or marginally detected the resultant target signals. By then fusing the p-values of these statistics through Fisher's combined probability test, we clearly identified the same explosion signals at thresholds consistent with the false alarm on noise rates of the correlation detectors. This resulting Fisher test thereby provided high-probability detections, zero false alarms and higher theoretical detection capability.

How to Assess Whether Qualified Evaluations of e-Government Projects Are Conducted? The Case of Slovenia

Countries are investing significant resources in the development of e-government, but evaluations of e-government projects are rarely conducted in a comprehensive way. In order to take the right measures and to be effective in fostering the use and raising the quality of evaluations of e-government projects it is important to reveal the state of the practice. The paper presents the results of the research based on identification of parameters required to be measured in order to conduct qualified evaluations of e-government projects. Thirteen such paramaters were identified via the focus group, with participants comprising (Slovenian) e-government decision-makers and researchers. Using these 13 parameters and 7 additional questions about the knowledge and use of evalution methods a questionnaire was designed and applied in a survey on Slovenian public administration. Employing a binomial test and Fisher’s combined probability test it was established that in Slovenian public administration qualified evaluations of e-government projects were not being conducted. The method has demonstrated an eligible usability both for analysing the general situation and for exposing opportunities for improvement in various specific situations.