Training
Training is not included with the purchase of the software licenses, unless covered in your contract with BioWisdom. If your organization would like additional training on the use of our software, our Ph.D. scientists can provide this on-site or via web-based conferencing. Training can include best practices as well as the mechanics of using our software.
For more information or to discuss training services with BioWisdom, contact us at sales@biowisdom.com
Training Module
|
Days |
OmniViz |
|
|
Importing and Merging Data a) Basic data import (textual or numerical); merging data; database connection b) Advanced data import: generating format files; using R scripts; Patent Harvester; Telescope |
0.5 0.5 |
|
Text Mining a) Importing text files; altering processing settings; using vocabularies b) Galaxy; GIST; Correlation; Text Query; Record Viewer; grouping data c) ThemeMap & Dynamic Query; CoMet; Connectivity; AppLauncher; Telescope |
0.5 0.5 |
|
Numeric Data Analysis a) Importing numeric data files; altering processing settings; applying mathematical operations b) Galaxy; Profile Plot; Treescape; Correlation; Record Viewer c) Numeric Query; Group Tool; Relativity Tool; Connectivity; AppLauncher
|
0.5 0.5 0.5
|
SRS |
|
|
SRS Configuration and Maintenance a) Introduction b) Basic Administration & configuration (includes Tomcat for beginners) c) Tools d) SRS Prisma (customer request) e) Troubleshooting |
0.5 1 0.5 0.5 0.5 |
|
SRS Database Integration a) Introduction to parsing and Icarus b) Integrating flat file data c) Integrating XML data d) Views, loaders, entry views, JSP pages e) Integrating relational databases |
0.5 2.0 0.5 1.0 1.0 |
|
Developing with SRS (module based) a) Introduction to querying and retrieval in SRS b) Writing Icarus scripts c) SRS WSObjects (language specified by customer)
|
0.5 0.5 1.0 |
Sofia |
|
|
sofiaEditor Training a) Manual sofiaEditor functions b) Assertion Generation in sofiaEditor c) Candidate Assertion Curation and assertion generation using semantic mark-up in DocView |
0.5 0.5 0.5 |
|
Intelligence Network Process Training a) How to design an Intelligence Network b) Intelligence Network Feasibility and Build c) Ranking and Prioritisation of Candidate Assertions d) Intelligence Network Quality Control |
1.0 0.5 1.0 0.5 |
