Literature DB >> 17286447

The BiolAD-DB system : an informatics system for clinical and genetic data.

David A Nielsen1, Marty Leidner, Chad Haynes, Michael Krauthammer, Mary Jeanne Kreek.   

Abstract

The Biology of Addictive Diseases-Database (BiolAD-DB) system is a research bioinformatics system for archiving, analyzing, and processing of complex clinical and genetic data. The database schema employs design principles for handling complex clinical information, such as response items in genetic questionnaires. Data access and validation is provided by the BiolAD-DB client application, which features a data validation engine tightly coupled to a graphical user interface. Data integrity is provided by the password-protected BiolAD-DB SQL compliant server and database. BiolAD-DB tools further provide functionalities for generating customized reports and views. The BiolAD-DB system schema, client, and installation instructions are freely available at http://www.rockefeller.edu/biolad-db/.

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Year:  2007        PMID: 17286447     DOI: 10.1007/BF03256219

Source DB:  PubMed          Journal:  Mol Diagn Ther        ISSN: 1177-1062            Impact factor:   4.074


  5 in total

1.  Organization of heterogeneous scientific data using the EAV/CR representation.

Authors:  P M Nadkarni; L Marenco; R Chen; E Skoufos; G Shepherd; P Miller
Journal:  J Am Med Inform Assoc       Date:  1999 Nov-Dec       Impact factor: 4.497

2.  Variation is the spice of life.

Authors:  L Kruglyak; D A Nickerson
Journal:  Nat Genet       Date:  2001-03       Impact factor: 38.330

3.  Data extraction and ad hoc query of an entity-attribute-value database.

Authors:  P M Nadkarni; C Brandt
Journal:  J Am Med Inform Assoc       Date:  1998 Nov-Dec       Impact factor: 4.497

Review 4.  Generic data modeling for clinical repositories.

Authors:  S B Johnson
Journal:  J Am Med Inform Assoc       Date:  1996 Sep-Oct       Impact factor: 4.497

5.  GeneLink: a database to facilitate genetic studies of complex traits.

Authors:  Elizabeth M Gillanders; Anthony Masiello; Derek Gildea; Lowell Umayam; Priya Duggal; Mary Pat Jones; Alison P Klein; Diana Freas-Lutz; Grace Ibay; Ken Trout; Tyra G Wolfsberg; Jeffrey M Trent; Joan E Bailey-Wilson; Andreas D Baxevanis
Journal:  BMC Genomics       Date:  2004-10-18       Impact factor: 3.969

  5 in total
  1 in total

Review 1.  Bidirectional translational research: Progress in understanding addictive diseases.

Authors:  M J Kreek; S D Schlussman; B Reed; Y Zhang; D A Nielsen; O Levran; Y Zhou; E R Butelman
Journal:  Neuropharmacology       Date:  2008-08-07       Impact factor: 5.250

  1 in total

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