GLAD4U statistics

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Citations per year

Number of citations per year for the bioinformatics software tool GLAD4U

Tool usage distribution map

This map represents all the scientific publications referring to GLAD4U per scientific context
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Associated diseases


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GLAD4U specifications


Unique identifier OMICS_21981
Alternative name Gene List Automatically Derived For You
Interface Web user interface
Restrictions to use None
Output format CSV,TXT
Programming languages C, Perl
License GNU General Public License version 3.0
Computer skills Basic
Version 2.5
Stability Stable
Maintained Yes


  • person_outline Bing Zhang

Additional information

Publication for Gene List Automatically Derived For You

GLAD4U citations


Autophagy and Alzheimer’s Disease: From Molecular Mechanisms to Therapeutic Implications

PMCID: 5797541
PMID: 29441009
DOI: 10.3389/fnagi.2018.00004

[…] n KEGG Pathway () “autophagy-animal” (ko04140), and (2) genes involved in AD, defined as being included either in databases AlzBase () or AlzGene (), or related to AD as shown by the text-mining tool GLAD4U (). AlzBase provides data on “gene dysregulation in AD and closely related processes/diseases such as aging and neurological disorders” (), while AlzGene provides data on “genetic association s […]


Genome wide signatures of complex introgression and adaptive evolution in the big cats

Sci Adv
PMCID: 5517113
PMID: 28776029
DOI: 10.1126/sciadv.1700299

[…] election on each method using WebGestalt (), with the Human genome as the reference, and searching the following data bases: Gene ontology (, ), Pathway Commons (), KEGG pathway (, ), Disease (, and Phenotypes (). We used a significance threshold of 0.05 and a multiple testing correction (Benjamini-Hochberg) to control for false discovery. Within genes that si […]


Integrative analysis of extracellular and intracellular bladder cancer cell line proteome with transcriptome: improving coverage and validity of –omics findings

Sci Rep
PMCID: 4863247
PMID: 27167498
DOI: 10.1038/srep25619

[…] ated in the context of existing literature. Molecular features associated with BCa invasion or metastasis were retrieved using two independent approaches i.e. the BcCluster database (n = 627) and the GLAD4U tool (n = 671; ), as described in Methods. Validity was assessed based on the overlap between our experimental data and literature findings (listed in ). As presented in , the percentage of ove […]


Increased Transcript Complexity in Genes Associated with Chronic Obstructive Pulmonary Disease

PLoS One
PMCID: 4610675
PMID: 26480348
DOI: 10.1371/journal.pone.0140885

[…] and ) [, ]. Literature reviews contributed the majority of the gene list for COPD, as these represent the best form of manual curation for further analysis. We did not include the PubMed text-miner, Glad4U, and the SNP database, SNP4Disease in our gene list generation, although we did use these resources in a confirmatory manner (, ) [, ].To assess transcript complexity in other complex diseases, […]


Genomics in 2012: challenges and opportunities in the next generation sequencing era

BMC Genomics
PMCID: 3535713
PMID: 23281891
DOI: 10.1186/1471-2164-13-S8-S1

[…] cs to detect the borders between coding and non-coding DNA regions in prokaryotes.The last four papers in this issue are more related to genomic and biomedical data mining. Jourquin et al. [] present GLAD4U, a freely available web-application for creating expert candidate gene lists tailored to a user's query. GLAD4U ensures computational efficiency through the effective use of existing NCBI resou […]

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GLAD4U institution(s)
Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA; Department of Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN, USA; Advanced Computing Center for Research & Education, Vanderbilt University, Nashville, TN, USA; Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA
GLAD4U funding source(s)
Supported by the National Institutes of Health (NIH)/ National Institute of General Medical Sciences (NIGMS) through grant R01GM088822; the NIH/National Cancer Institute (NCI) through grant U54CA113007; and the NIH/ National Institute of Mental Health (NIMH) through grant P50MH078028.

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