PMID- 19941647
OWN - NLM
STAT- MEDLINE
DCOM- 20100128
LR  - 20240516
IS  - 1471-2105 (Electronic)
IS  - 1471-2105 (Linking)
VI  - 10
DP  - 2009 Nov 26
TI  - iLAP: a workflow-driven software for experimental protocol development, data 
      acquisition and analysis.
PG  - 390
LID - 10.1186/1471-2105-10-390 [doi]
AB  - BACKGROUND: In recent years, the genome biology community has expended 
      considerable effort to confront the challenges of managing heterogeneous data in 
      a structured and organized way and developed laboratory information management 
      systems (LIMS) for both raw and processed data. On the other hand, electronic 
      notebooks were developed to record and manage scientific data, and facilitate 
      data-sharing. Software which enables both, management of large datasets and 
      digital recording of laboratory procedures would serve a real need in 
      laboratories using medium and high-throughput techniques. RESULTS: We have 
      developed iLAP (Laboratory data management, Analysis, and Protocol development), 
      a workflow-driven information management system specifically designed to create 
      and manage experimental protocols, and to analyze and share laboratory data. The 
      system combines experimental protocol development, wizard-based data acquisition, 
      and high-throughput data analysis into a single, integrated system. We 
      demonstrate the power and the flexibility of the platform using a microscopy case 
      study based on a combinatorial multiple fluorescence in situ hybridization 
      (m-FISH) protocol and 3D-image reconstruction. iLAP is freely available under the 
      open source license AGPL from http://genome.tugraz.at/iLAP/. CONCLUSION: iLAP is 
      a flexible and versatile information management system, which has the potential 
      to close the gap between electronic notebooks and LIMS and can therefore be of 
      great value for a broad scientific community.
FAU - Stocker, Gernot
AU  - Stocker G
AD  - Institute for Genomics and Bioinformatics, Graz University of Technology, 
      Petersgasse 14, 8010 Graz, Austria. gernot.stocker@tugraz.at
FAU - Fischer, Maria
AU  - Fischer M
FAU - Rieder, Dietmar
AU  - Rieder D
FAU - Bindea, Gabriela
AU  - Bindea G
FAU - Kainz, Simon
AU  - Kainz S
FAU - Oberstolz, Michael
AU  - Oberstolz M
FAU - McNally, James G
AU  - McNally JG
FAU - Trajanoski, Zlatko
AU  - Trajanoski Z
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20091126
PL  - England
TA  - BMC Bioinformatics
JT  - BMC bioinformatics
JID - 100965194
SB  - IM
MH  - Computational Biology/*methods
MH  - *Database Management Systems
MH  - Databases, Factual
MH  - *Software
MH  - User-Computer Interface
PMC - PMC2789074
EDAT- 2009/11/28 06:00
MHDA- 2010/01/29 06:00
PMCR- 2009/11/26
CRDT- 2009/11/28 06:00
PHST- 2009/06/01 00:00 [received]
PHST- 2009/11/26 00:00 [accepted]
PHST- 2009/11/28 06:00 [entrez]
PHST- 2009/11/28 06:00 [pubmed]
PHST- 2010/01/29 06:00 [medline]
PHST- 2009/11/26 00:00 [pmc-release]
AID - 1471-2105-10-390 [pii]
AID - 10.1186/1471-2105-10-390 [doi]
PST - epublish
SO  - BMC Bioinformatics. 2009 Nov 26;10:390. doi: 10.1186/1471-2105-10-390.