The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Babelomics: an integrative platform for the analysis of transcriptomics, proteomics and genomic data with advanced functional profiling
Open accessAbstract
Babelomics is a response to the growing necessity of integrating and analyzing different types of genomic data in an environment that allows an easy functional interpretation of the results. Babelomics includes a complete suite of methods for the analysis of gene expression data that include normalization (covering most commercial platforms), pre-processing, differential gene expression (case-controls, multiclass, survival or continuous values), predictors, clustering; large-scale genotyping assays (case controls and TDTs, and allows population stratification analysis and correction). All these genomic data analysis facilities are integrated and connected to multiple options for the functional interpretation of the experiments. Different methods of functional enrichment or gene set enrichment can be used to understand the functional basis of the experiment analyzed. Many sources of biological information, which include functional (GO, KEGG, Biocarta, Reactome, etc.), regulatory (Transfac, Jaspar, ORegAnno, miRNAs, etc.), text-mining or protein-protein interaction modules can be used for this purpose. Finally a tool for the de novo functional annotation of sequences has been included in the system. This provides support for the functional analysis of non-model species. Mirrors of Babelomics or command line execution of their individual components are now possible. Babelomics is available at http://www.babelomics.org.
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PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089
The control of the false discovery rate in multiple testing under dependency
Benjamini, Y., & Yekutieli, D. (2001) · The Annals of Statistics · doi:10.1214/aos/1013699998 · Cited by 10,490
limma: Linear Models for Microarray Data
Smyth, G. K. (2005) · Statistics for Biology and Health · doi:10.1007/0-387-29362-0_23 · Cited by 5,796
Genome-wide association studies for complex traits: consensus, uncertainty and challenges
McCarthy, M. I., Abecasis, G. R., Cardon, L. R., Goldstein, D. B., Little, J., Ioannidis, J. P. A., & Hirschhorn, J. N. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2344 · Cited by 2,891
An oncogenic KRAS2 expression signature identified by cross-species gene-expression analysis.
Sweet-Cordero, A., Mukherjee, S., Subramanian, A., You, H., Roix, J. J., Ladd-Acosta, C., Mesirov, J., Golub, T. R., & Jacks, T. (2005) · Nature Genetics · doi:10.1038/ng1490 · Cited by 414
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Self-citationThe Human Mitochondrial Transcriptome
Mercer, T. R., Neph, S., Dinger, M. E., Crawford, J., Smith, M. A., Shearwood, A.-M. J., Haugen, E., Bracken, C. P., Rackham, O., Stamatoyannopoulos, J. A., et al. (2011) · Cell · doi:10.1016/j.cell.2011.06.051 · Cited by 905
Moiseeva, O., Deschênes‐Simard, X., St‐Germain, E., Igelmann, S., Huot, G., Cadar, A. E., Bourdeau, V., Pollak, M. N., & Ferbeyre, G. (2013) · Aging Cell · doi:10.1111/acel.12075 · Cited by 654
Barry, G., Briggs, J. A., Vanichkina, D. P., Poth, E. M., Beveridge, N. J., Ratnu, V. S., Nayler, S. P., Nones, K., Hu, J., Bredy, T. W., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.45 · Cited by 394
Prieur, X., Mok, C. Y. L., Velagapudi, V. R., Núñez, V., Fuentes, L., Montaner, D., Ishikawa, K., Camacho, A., Barbarroja, N., O’Rahilly, S., et al. (2011) · Diabetes · doi:10.2337/db10-0705 · Cited by 381
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Metadata
- Authors
- Medina, I., Carbonell, J., Pulido, L., Madeira, S. C., Goetz, S., Conesa, A., T�rraga, J., Pascual-Montano, A., Nogales-Cadenas, R., Santoyo, J., Garc�a, F., Marb�, M., Montaner, D., & Dopazo, J.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-05-15
- Volume
- 38
- Issue
- suppl_2
- Pages
- W210-W213
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2013318867
- Cited by
- 322
- References
- 5
- FWCI
- 14.30
- Type
- journal article
- Language
- en
- Open access
- gold
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- Medina, I., Carbonell, J., Pulido, L., Madeira, S. C., Goetz, S., Conesa, A., T�rraga, J., Pascual-Montano, A., Nogales-Cadenas, R., Santoyo, J., Garc�a, F., Marb�, M., Montaner, D., & Dopazo, J. (2010). Babelomics: an integrative platform for the analysis of transcriptomics, proteomics and genomic data with advanced functional profiling. Nucleic Acids Research. https://doi.org/10.1093/nar/gkq388
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