GRAIL / VIZ-GRAIL – Gene Relationships Across Implicated Loci

GRAIL / VIZ-GRAIL

:: DESCRIPTION

GRAIL is a tool to examine relationships between genes in different disease associated loci. Given several genomic regions or SNPs associated with a particular phenotype or disease, GRAIL looks for similarities in the published scientific text among the associated genes.

GRAIL Online Version

The VIZ-GRAIL software allows users to create informative circle plots of genetic loci that visualizes the functional similarites between genes in an intuitive manner. Code that interact with the online site is available here for download. VIZ-grail is implemented as two separate perl scripts.

::DEVELOPER

The Raychaudhuri Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Mac OsX / Windows
  • Perl

:: DOWNLOAD

 VIZ-GRAIL

:: MORE INFORMATION

Citation

Bioinformatics. 2011 Jun 1;27(11):1589-90. doi: 10.1093/bioinformatics/btr185.
VIZ-GRAIL: visualizing functional connections across disease loci.
Raychaudhuri S.

Raychaudhuri, S., Plenge, R.M., Rossin, E.J., Ng, A.C.Y., International Schizophrenia Consortium, Purcell, S.M., Sklar, P., Scolnick, E.M., Xavier, R.J., Altshuler, D., and Daly, M.J.
Identifying Relationships Among Genomic Disease Regions: Predicting Genes at Pathogenic SNP Associations and Rare Deletions.
PLOS Genetics, 2009. 5(6):e1000534.

GrailEXP 6.2 – Grail Experimental Gene Discovery Suite

GrailEXP 6.2

:: DESCRIPTION

GrailEXP is a software package that predicts exons, genes, promoters, polyas, CpG islands, EST similarities, and repetitive elements within DNA sequence.

::DEVELOPER

GrailEXP Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 GrailEXP

:: MORE INFORMATION

Citation

Improved Analysis and Annotation Tools for Whole-Genome Computational Annotation and Analysis: GRAIL-EXP Genome Analysis Toolkit and Related Analysis Tools,
D. Hyatt, J. Snoddy, D. Schmoyer, G. Chen, K. Fischer, M. Parang, I. Vokler, S. Petrov, P. Locascio, V. Olman, Miriam Land, M. Shah, and E. Uberbacher,
Genome Sequencing & Biology Meeting, May 2000