| Literature DB >> 16140476 |
Patrick Cahan1, Amera M Ahmad, Harry Burke, Sidney Fu, Yinglei Lai, Liliana Florea, Nachiket Dharker, Todd Kobrinski, Prachee Kale, Timothy A McCaffrey.
Abstract
Microarray profiling of RNA expression is a powerful tool that generates large lists of transcripts that are potentially relevant to a disease or treatment. However, because the lists of changed transcripts are embedded in figures and tables, they are typically inaccessible for search engines. Due to differences in gene nomenclatures, the lists are difficult to compare between studies. LOLA (Lists of Lists Annotated) is an internet-based database for comparing gene lists from microarray studies or other genomic-scale methods. It serves as a common platform to compare and reannotate heterogeneous gene lists from different microarray platforms or different genomic methodologies such as serial analysis of gene expression (SAGE) or proteomics. LOLA () provides researchers with a means to store, annotate, and compare gene lists produced from different studies or different analyses of the same study. It is especially useful in identifying potentially "high interest" genes which are reported as significant across multiple studies and species. Its application to the fields of stem cell, cancer, and aging research is demonstrated by comparing published papers.Entities:
Mesh:
Year: 2005 PMID: 16140476 DOI: 10.1016/j.gene.2005.07.008
Source DB: PubMed Journal: Gene ISSN: 0378-1119 Impact factor: 3.688