LARALink: a web application for cytogenetic linkage analysis.
Genomic and expression data have increased dramatically over the last several years. This is primarily due to the completion of the human genome project as well as an upsurge in the use of various high-throughput technologies. Recent attempts to correlate genomic and expression data have stimulated the scientific community to determine how this data can be used within a clinical setting (P Khatri et al., Genomics 2002: 79: 266; LJ van't Veer et al., Nature 2002: 415: 530). LARALink (Loci Analysis for Rearrangements Link) is a database-driven web application that utilizes several public datasets to analyze clinical cytogenetic data to identify candidate genes. LARALink allows UniGene clusters or single-nucleotide polymorphisms (SNPs) to be queried for multiple patients by cytoband, chromosome marker, or base pair. The results can be further refined with the use of an anatomical site, developmental stage, pathology, or cell-type expression filter. Once a set of UniGene clusters (expressed genes) has been identified either for a single patient or for a shared region among multiple patients, the expression-distribution profile, expressed sequence tags (ESTs), or online mendelian inheritance in man (OMIM) entries are displayed. The utility of this tool is shown by its application to both research and clinical medicine. LARALink is a public resource available at: http://www.laralink.bioinformatics.wayne.edu:8080/unigene.
Fayz
B
B
Bioinformatics Facility, University of Pennsylvania, Philadelphia, PA, USA.
Moldenhauer
J S
JS
Wang
D
D
Zhao
C
C
Yao
B
B
Liu
D
D
Weinsheimer
S
S
Gardner
L
L
Johnson
A
A
Womble
D D
DD
Krawetz
S A
SA
D000544:Alzheimer Disease / Q000235:genetics; D020029:Base Pairing; D003582:Cytogenetics / Q000379:methods*; D030541:Databases, Genetic; D020224:Expressed Sequence Tags; D005819:Genetic Markers; D015894:Genome, Human; D006801:Humans; D020407:Internet; D002532:Intracranial Aneurysm / Q000235:genetics; D020641:Polymorphism, Single Nucleotide; D012984:Software
D005819:Genetic Markers