Genome-scale evidence of the nematode-arthropod clade. Genome Biol. 2005;6:R41. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15892869.
. Genome Maps, a new generation genome browser. Nucleic acids research. 2013;41:W41-W46. doi:10.1093/nar/gkt530.
Gene set-based analysis of polymorphisms: finding pathways or biological processes associated to traits in genome-wide association studies. Nucleic Acids Res. 2009;37(Web Server issue):W340-4. doi:10.1093/nar/gkp481.
Gene set-based analysis of polymorphisms: finding pathways or biological processes associated to traits in genome-wide association studies. Nucl. Acids Res. 2009;37:W340-344. doi:10.1093/nar/gkp481.
Gene set internal coherence in the context of functional profiling. BMC Genomics. 2009;10:197. doi:10.1186/1471-2164-10-197.
. Gene Expression Integration into Pathway Modules Reveals a Pan-Cancer Metabolic Landscape. Cancer Res. 2018;78(21):6059-6072. doi:10.1158/0008-5472.CAN-17-2705.
Gene expression data preprocessing. Bioinformatics. 2003;19:655-6. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=12651726.
. Gene expression analysis of chromosomal regions with gain or loss of genetic material detected by comparative genomic hybridization. Genes Chromosomes Cancer. 2004;41:353-65. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15382261.
Fungal peroxidases: molecular aspects and applications. J Biotechnol. 2002;93:143-58. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=11738721.
. A function-centric approach to the biological interpretation of microarray time-series. Genome Inform. 2006;17:57-66.
. Functional signatures identified in B-cell non-Hodgkin lymphoma profiles. Leuk Lymphoma. 2009;50(10):1699-708. doi:10.1080/10428190903189035.
Functional profiling of microarray experiments using text-mining derived bioentities. Bioinformatics. 2007;23(22):3098-9. doi:10.1093/bioinformatics/btm445.
. Functional profiling of microarray experiments using text-mining derived bioentities. Bioinformatics. 2007;23:3098-9. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17855415.
. Functional profiling and gene expression analysis of chromosomal copy number alterations. Bioinformation. 2007;1(10):432-5. doi:10.6026/97320630001432.
. Functional profiling and gene expression analysis of chromosomal copy number alterations. Bioinformation. 2007;1:432-5. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17597935.
. Functional interpretation of microarray experiments. OMICS. 2006;10:398-410. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17069516.
. Functional genomics of 5- to 8-cell stage human embryos by blastomere single-cell cDNA analysis. PLoS One. 2010;5(10):e13615. doi:10.1371/journal.pone.0013615.
Functional genomics and networks: new approaches in the extraction of complex gene modules. Expert Rev Proteomics. 2010;7(1):55-63. doi:10.1586/epr.09.103.
. Functional assessment of time course microarray data. BMC Bioinformatics. 2009;10 Suppl 6:S9. doi:10.1186/1471-2105-10-S6-S9.
Functional analysis of multiple genomic signatures demonstrates that classification algorithms choose phenotype-related genes. Pharmacogenomics J. 2010;10(4):310-23. doi:10.1038/tpj.2010.35.
From genes to functional classes in the study of biological systems. BMC Bioinformatics. 2007;8:114. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17407596.
From genes to functional classes in the study of biological systems. BMC Bioinformatics. 2007;8:114. doi:10.1186/1471-2105-8-114.
From endosymbiont to host-controlled organelle: the hijacking of mitochondrial protein synthesis and metabolism. PLoS Comput Biol. 2007;3:e219. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17983265.
. Four new loci associations discovered by pathway-based and network analyses of the genome-wide variability profile of Hirschsprung's disease. Orphanet J Rare Dis. 2012;7:103. doi:10.1186/1750-1172-7-103.
Four new loci associations discovered by pathway-based and network analyses of the genome-wide variability profile of Hirschsprung’s disease. Orphanet journal of rare diseases. 2012;7:103. doi:10.1186/1750-1172-7-103.