MicroRNA

Post-analysis categorization
- Literature search
Post-survey categorization
- Features validated in most cases
- Features not validated
Simple lists
Preliminary lists

Tool name

GIFts- GeneCards Inferred Functionality Scores

URL

http://www.genecards.org/GIFtS.shtml

Important features

Computational tool designed to perform functional analysis of a wide set of genes derived from experimental data or in silico analysis.

Citations

Harel A, Inger A, Stelzer G, Strichman-Almashanu L, Dalah I, Safran M, Lancet D. GIFtS: annotation landscape analysis with GeneCards. BMC Bioinformatics. 2009 Oct 23;10:348. PubMed PMID: 19852797; PubMed Central PMCID: PMC2774327.

Year of publication

2009

Rank by usage frequency

100

Comments

Open access for academic and non commercial users

Function

SPECIES: human, BROAD SCOPE RESOURCES: miscellanous, http://www.genecards.org/GIFtS.shtml, Computational tool designed to perform functional analysis of a wide set of genes derived from experimental data or in silico analysis., Harel A- Inger A- Stelzer G- Strichman-Almashanu L- Dalah I- Safran M- Lancet D. GIFtS: annotation landscape analysis with GeneCards. BMC Bioinformatics. 2009 Oct 23;10:348. PubMed PMID: 19852797; PubMed Central PMCID: PMC2774327. , 2009, 100, Open access for academic and non commercial users, Online, I. SPECIES SUPPORTED INCLUDE: human II. QUERY OR INPUT DATA: 1. Select a score (1- 100) to retrieve a random gene with the selected score. 2. Select a score range to retrieve a list of genes within the selected range. 3. Retrieve a list of sources with no data for a gene. 4. Type gene symbol and choose maximum number of sources to display 5. Obtain the GIFtS value of a gene: a. Type gene symbol: Weight GIFtS by data from: proteins- orthologs- and publications III. OUTPUT DATA: details on the GeneCards Inferred Functionality Scores of the submitted data.