Sentence examples for merging information on from inspiring English sources

By merging information on their classifications, evolutionary histories and HMT specificities, several properties of this group of maternal SET domain genes were observed (Table2): 1) These genes distribute in 7 subfamilies (I, III, IV, V, VI, IX and X) while no significant subfamily-discrimination was observed.

Subsequently, a 'synthetic' map is constructed by merging information on locus positions from component maps.

Since entitlement to welfare is means-tested with consideration of the wealth and the income of further household members, we merge information on further persons living in the households that are recorded in the Benefit History Master Records (Leistungshistorikgrunddatei, BHMR).

UniProtKB usually merges information on alternate splice forms or polyproteins, which helped minimize this problem for our purposes, but in cases where multiple mappings exist, we selected as most informative the entry in the manually reviewed UniProtKB/SwissProt section; if no SwissProt entry was found, the longer sequence in UniProtKB/TrEMBL section was selected.

For more information and to read poll results, go to www.mobilevrs.co.ug DevTrac DevTrac is a simple, publically available knowledge management tool that will merge information on socio-economic conditions, government services and development projects with data collected directly from stakeholders in the field.

Representative examples of tools that focus on merging information from different data studies are the generic genome browser (GBrowse) [ 10] and its web server WebGBrowse [ 11] which allows users to upload their own genomic data for display.

Then a complex process-event data structure has been built, based on this data model, describing patient-centered diagnostic processes and merging information from data and metadata.

Just imagine the mess of merging information about a 49-year-old personal investor with a 9-year-old kid with a fixation on Pokemon games.

Merging information gleaned across multiple services isn't anything new for Google.

We were able to build a superior predictor by prioritizing the most informative strains in a viral population and crafting a more complex information merging procedure based on a set kernel, rather than uniformly processing all strains occurring in the population and merging information by using simple cutoffs.

An interesting feature brought by the Semantic Web and OWL is the possibility to merge information based on the IRIs of the entities described.