DAVID: Database for Annotation, Visualization, and Integrated Discovery

Gene Ontology: tool for the unification of biology

Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206

KEGG: Kyoto Encyclopedia of Genes and Genomes

Kanehisa, M. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.27 · Cited by 37,077

KEGG: Kyoto Encyclopedia of Genes and Genomes

Ogata, H., Goto, S., Sato, K., Fujibuchi, W., Bono, H., & Kanehisa, M. (1999) · Nucleic Acids Research · doi:10.1093/nar/27.1.29 · Cited by 31,232

Database resources of the National Center for Biotechnology Information: update

Wheeler, D. L. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkh073 · Cited by 10,695

Identifying biological themes within lists of genes with EASE

Hosack, D. A., Dennis, G., Sherman, B. T., Lane, H. C., & Lempicki, R. A. (2003) · Genome biology · doi:10.1186/gb-2003-4-10-r70 · Cited by 1,961

The Ensembl genome database project

Hubbard, T. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.1.38 · Cited by 1,610

Computational analysis of microarray data

Quackenbush, J. (2001) · Nature Reviews Genetics · doi:10.1038/35076576 · Cited by 1,481

Database resources of the National Center for Biotechnology Information

Wheeler, D. L. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.10 · Cited by 583

GeneCards: a novel functional genomics compendium with automated data mining and query reformulation support.

Rebhan, M., Caspi, V. C., Prilusky, J., & Lancet, D. (1998) · Bioinformatics · doi:10.1093/bioinformatics/14.8.656 · Cited by 502

NetAffx: Affymetrix probesets and annotations

Liu, G. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg121 · Cited by 487

Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources

Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890

WGCNA: an R package for weighted correlation network analysis

Langfelder, P., & Horvath, S. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-559 · Cited by 27,252

Tissue-based map of the human proteome

Uhlén, M., Fagerberg, L., Hallström, B. M., Lindskog, C., Oksvold, P., Mardinoglu, A., Sivertsson, Å., Kampf, C., Sjöstedt, E., Asplund, A., et al. (2015) · Science · doi:10.1126/science.1260419 · Cited by 15,286

Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists

Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn923 · Cited by 14,108

Enrichr: a comprehensive gene set enrichment analysis web server 2016 update

Kuleshov, M. V., Jones, M. R., Rouillard, A. D., Fernandez, N. F., Duan, Q., Wang, Z., Koplev, S., Jenkins, S. L., Jagodnik, K. M., Lachmann, A., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw377 · Cited by 10,799

A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w 1118 ; iso-2; iso-3

Cingolani, P., Platts, A., Wang, L. L., Coon, M., Nguyen, T., Wang, L., Land, S. J., Lu, X., & Ruden, D. M. (2012) · Fly · doi:10.4161/fly.19695 · Cited by 11,816

Integrated Genomic Analysis Identifies Clinically Relevant Subtypes of Glioblastoma Characterized by Abnormalities in PDGFRA, IDH1, EGFR, and NF1

Verhaak, R. G. W., Hoadley, K. A., Purdom, E., Wang, V., Qi, Y., Wilkerson, M. D., Miller, C. R., Ding, L., Golub, T., Mesirov, J. P., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2009.12.020 · Cited by 7,575

DAVID: a web server for functional enrichment analysis and functional annotation of gene lists (2021 update)

Sherman, B. T., Hao, M., Qiu, J., Jiao, X., Baseler, M., Lane, H. C., Imamichi, T., & Chang, W. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac194 · Cited by 6,300

Genome-wide atlas of gene expression in the adult mouse brain

Lein, E. S., Hawrylycz, M. J., Ao, N., Ayres, M., Bensinger, A., Bernard, A., Boe, A. F., Boguski, M. S., Brockway, K. S., Byrnes, E. J., et al. (2007) · Nature · doi:10.1038/nature05453 · Cited by 5,572

Induction of Intestinal Th17 Cells by Segmented Filamentous Bacteria

Ivanov, I. I., Atarashi, K., Manel, N., Brodie, E. L., Shima, T., Karaoz, U., Wei, D., Goldfarb, K. C., Santee, C. A., Lynch, S. V., et al. (2009) · Cell · doi:10.1016/j.cell.2009.09.033 · Cited by 4,554

GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists

Eden, E., Navon, R., Steinfeld, I., Lipson, D., & Yakhini, Z. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-48 · Cited by 3,356

agriGO: a GO analysis toolkit for the agricultural community

Du, Z., Zhou, X., Ling, Y., Zhang, Z., & Su, Z. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq310 · Cited by 2,396

The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene lists

Huang, D. W., Sherman, B. T., Tan, Q., Collins, J., Alvord, W. G., Roayaei, J., Stephens, R. D., Baseler, M., Lane, H. C., & Lempicki, R. A. (2007) · Genome biology · doi:10.1186/gb-2007-8-9-r183 · Cited by 2,482

Widespread transcription at neuronal activity-regulated enhancers

Kim, T.-K., Hemberg, M., Gray, J. M., Costa, A. M., Bear, D. M., Wu, J., Harmin, D. A., Laptewicz, M., Barbara-Haley, K., Kuersten, S., et al. (2010) · Nature · doi:10.1038/nature09033 · Cited by 2,450

Transcriptional Profiling of the Human Monocyte-to-Macrophage Differentiation and Polarization: New Molecules and Patterns of Gene Expression

Martínez, F. O., Gordon, S., Locati, M., & Mantovani, A. (2006) · The Journal of Immunology · doi:10.4049/jimmunol.177.10.7303 · Cited by 2,399

Enrichment Map: A Network-Based Method for Gene-Set Enrichment Visualization and Interpretation

Merico, D., Isserlin, R., Stueker, O., Emili, A., & Bader, G. D. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013984 · Cited by 2,235

DAVID Bioinformatics Resources: expanded annotation database and novel algorithms to better extract biology from large gene lists

Huang, D. W., Sherman, B. T., Tan, Q., Kir, J., Liu, D., Bryant, D., Guo, Y., Stephens, R. M., Baseler, M., Lane, H. C., et al. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm415 · Cited by 2,216

Phenotypic and molecular characterization of the claudin-low intrinsic subtype of breast cancer

Prat, A., Parker, J. S., Karginova, O. A., Fan, C., Livasy, C., Herschkowitz, J. I., He, X., & Perou, C. M. (2010) · Breast Cancer Research · doi:10.1186/bcr2635 · Cited by 2,290

FMRP Stalls Ribosomal Translocation on mRNAs Linked to Synaptic Function and Autism

Darnell, J. C., Van Driesche, S. J., Zhang, C., Hung, K. Y. S., Mele, A., Fraser, C. E., Stone, E. F., Chen, C., Fak, J. J., Chi, S. W., et al. (2011) · Cell · doi:10.1016/j.cell.2011.06.013 · Cited by 2,072

Transactivation of miR-34a by p53 broadly influences gene expression and promotes apoptosis

Chang, T.-C., Wentzel, E. A., Kent, O. A., Ramachandran, K., Mullendore, M., Lee, K. H., Feldmann, G., Yamakuchi, M., Ferlito, M., Lowenstein, C. J., et al. (2007) · Molecular Cell · doi:10.1016/j.molcel.2007.05.010 · Cited by 2,010

Identifying biological themes within lists of genes with EASE

Hosack, D. A., Dennis, G., Sherman, B. T., Lane, H. C., & Lempicki, R. A. (2003) · Genome biology · doi:10.1186/gb-2003-4-10-r70 · Cited by 1,961

A tissue-specific atlas of mouse protein phosphorylation and expression

Huttlin, E. L., Jedrychowski, M. P., Elias, J. E., Goswami, T., Rad, R., Beausoleil, S. A., Villén, J., Haas, W., Sowa, M. E., & Gygi, S. P. (2010) · Cell · doi:10.1016/j.cell.2010.12.001 · Cited by 1,778

WebGestalt: an integrated system for exploring gene sets in various biological contexts

Zhang, B., Kirov, S. A., & Snoddy, J. R. (2005) · Nucleic Acids Research · doi:10.1093/nar/gki475 · Cited by 1,803

A quantitative atlas of mitotic phosphorylation

Dephoure, N., Zhou, C., Villén, J., Beausoleil, S. A., Bakalarski, C. E., Elledge, S. J., & Gygi, S. P. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0805139105 · Cited by 1,608

g:Profiler—a web-based toolset for functional profiling of gene lists from large-scale experiments

Reimand, J., Kull, M., Peterson, H., Hansen, J., & Vilo, J. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm226 · Cited by 1,566

Loss of E-Cadherin Promotes Metastasis via Multiple Downstream Transcriptional Pathways

Önder, T. T., Gupta, P. B., Mani, S. A., Yang, J., Lander, E. S., & Weinberg, R. A. (2008) · Cancer Research · doi:10.1158/0008-5472.can-07-2938 · Cited by 1,557

Using clusterProfiler to characterize multiomics data

Xu, S., Hu, E., Cai, Y., Xie, Z., Luo, X. M., Zhan, L., Tang, W., Wang, Q., Liu, B., Wang, R., et al. (2024) · Nature Protocols · doi:10.1038/s41596-024-01020-z · Cited by 1,528

Insights into autism spectrum disorder genomic architecture and biology from 71 risk loci

Sanders, S. J., He, X., Willsey, A. J., Ercan-Sencicek, A. G., Samocha, K. E., Cicek, A. E., Murtha, M. T., Bal, V. H., Bishop, S. L., Dong, S., et al. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.016 · Cited by 1,430

Autism genome-wide copy number variation reveals ubiquitin and neuronal genes

Glessner, J. T., Wang, K., Cai, G., Korvatska, O., Kim, C. E., Wood, S., Zhang, H., Estes, A., Brune, C. W., Bradfield, J. P., et al. (2009) · Nature · doi:10.1038/nature07953 · Cited by 1,421

The MicroRNA miR-124 Promotes Neuronal Differentiation by Triggering Brain-Specific Alternative Pre-mRNA Splicing

Makeyev, E. V., Zhang, J., Carrasco, M. A., & Maniatis, T. (2007) · Molecular Cell · doi:10.1016/j.molcel.2007.07.015 · Cited by 1,395

Cell diversity and network dynamics in photosensitive human brain organoids

Quadrato, G., Nguyen, T., Macosko, E. Z., Sherwood, J. L., Min Yang, S., Berger, D. R., Maria, N., Scholvin, J., Goldman, M., Kinney, J. P., et al. (2017) · Nature · doi:10.1038/nature22047 · Cited by 1,321

MicroRNA-10a binds the 5’UTR of ribosomal protein mRNAs and enhances their translation

Ørom, U. A., Nielsen, F. C., & Lund, A. H. (2008) · Molecular Cell · doi:10.1016/j.molcel.2008.05.001 · Cited by 1,384

Lipid-associated macrophages control metabolic homeostasis in a Trem2-dependent manner

Jaitin, D. A., Adlung, L., Thaiss, C. A., Weiner, A., Li, B., Descamps, H., Lundgren, P., Bleriot, C., Liu, Z., Deczkowska, A., et al. (2019) · Cell · doi:10.1016/j.cell.2019.05.054 · Cited by 1,377

Deconstructing the molecular portraits of breast cancer

Prat, A., & Perou, C. M. (2010) · Molecular Oncology · doi:10.1016/j.molonc.2010.11.003 · Cited by 1,418

Chronic high-fat diet in fathers programs β-cell dysfunction in female rat offspring

Ng, S.-F., Lin, R. C. Y., Laybutt, D. R., Barres, R., Owens, J. A., & Morris, M. J. (2010) · Nature · doi:10.1038/nature09491 · Cited by 1,327

Personal omics profiling reveals dynamic molecular and medical phenotypes

Chen, R., Mias, G. I., Li-Pook-Than, J., Jiang, L., Lam, H. Y. K., Chen, R., Miriami, E., Karczewski, K. J., Hariharan, M., Dewey, F. E., et al. (2012) · Cell · doi:10.1016/j.cell.2012.02.009 · Cited by 1,291

Multiple recurrent de novo CNVs, including duplications of the 7q11.23 Williams syndrome region, are strongly associated with autism

Sanders, S. J., Ercan-Sencicek, A. G., Hus, V., Luo, R., Murtha, M. T., Moreno-De-Luca, D., Chu, S. H., Moreau, M. P., Gupta, A. R., Thomson, S. A., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.05.002 · Cited by 1,263

The human transcriptome across tissues and individuals

Melé, M., Ferreira, P. G., Reverter, F., DeLuca, D. S., Monlong, J., Sammeth, M., Young, T. R., Goldmann, J. M., Pervouchine, D. D., Sullivan, T. J., et al. (2015) · Science · doi:10.1126/science.aaa0355 · Cited by 1,304

Next-Generation Sequencing Technology: Current Trends and Advancements

Satam, H., Joshi, K., Mangrolia, U., Waghoo, S., Zaidi, G., Rawool, S., Thakare, R. P., Banday, S., Mishra, A. K., Das, G., et al. (2023) · Biology · doi:10.3390/biology12070997 · Cited by 1,299

Somatic coding mutations in human induced pluripotent stem cells

Gore, A., Li, Z., Fung, H.-L., Young, J. E., Agarwal, S., Antosiewicz-Bourget, J., Canto, I., Giorgetti, A., Israel, M. A., Kiskinis, E., et al. (2011) · Nature · doi:10.1038/nature09805 · Cited by 1,273

Mapping the Human miRNA Interactome by CLASH Reveals Frequent Noncanonical Binding

Helwak, A., Kudla, G., Dudnakova, T., & Tollervey, D. (2013) · Cell · doi:10.1016/j.cell.2013.03.043 · Cited by 1,269

GOstat: find statistically overrepresented Gene Ontologies within a group of genes

Beißbarth, T., & Speed, T. P. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth088 · Cited by 1,256

Germinal Center Dynamics Revealed by Multiphoton Microscopy with a Photoactivatable Fluorescent Reporter

Victora, G. D., Schwickert, T. A., Fooksman, D., Kamphorst, A. O., Meyer‐Hermann, M., Dustin, M. L., & Nussenzweig, M. C. (2010) · Cell · doi:10.1016/j.cell.2010.10.032 · Cited by 1,264

Differential methylation of tissue- and cancer-specific CpG island shores distinguishes human induced pluripotent stem cells, embryonic stem cells and fibroblasts

Doi, A., Park, I., Wen, B., Murakami, P. N., Aryee, M. J., Irizarry, R. A., Herb, B. R., Ladd‐Acosta, C., Rho, J., Loewer, S., et al. (2009) · Nature Genetics · doi:10.1038/ng.471 · Cited by 1,201

Transcriptional regulation of vascular endothelial cell responses to hypoxia by HIF-1

Manalo, D. J., Rowan, A., Lavoie, T., Natarajan, L., Kelly, B. D., Ye, S. Q., Garcia, J. G. N., & Semenza, G. L. (2005) · Blood · doi:10.1182/blood-2004-07-2958 · Cited by 1,154

FOXG1-Dependent Dysregulation of GABA/Glutamate Neuron Differentiation in Autism Spectrum Disorders

Mariani, J., Coppola, G., Zhang, P., Abyzov, A., Provini, L., Tomasini, L., Amenduni, M., Szekely, A., Palejev, D., Wilson, M., et al. (2015) · Cell · doi:10.1016/j.cell.2015.06.034 · Cited by 1,149

5-methylcytosine promotes mRNA export — NSUN2 as the methyltransferase and ALYREF as an m5C reader

Yang, X., Yang, Y., Sun, B., Chen, Y., Xu, J., Lai, W., Li, A., Wang, X., Bhattarai, D. P., Xiao, W., et al. (2017) · Cell Research · doi:10.1038/cr.2017.55 · Cited by 1,141

MYC2 Differentially Modulates Diverse Jasmonate-Dependent Functions in Arabidopsis

Dombrecht, B., Xue, G. P., Sprague, S. J., Kirkegaard, J. A., Ross, J. J., Reid, J. B., Fitt, G. P., Sewelam, N., Schenk, P. M., Manners, J. M., et al. (2007) · The Plant Cell · doi:10.1105/tpc.106.048017 · Cited by 1,132

Mesenchymal Differentiation Mediated by NF-κB Promotes Radiation Resistance in Glioblastoma

Bhat, K., Balasubramaniyan, V., Vaillant, B. D., Ezhilarasan, R., Hummelink, K., Hollingsworth, F., Wani, K., Heathcock, L. E., James, J. D., Goodman, L. D., et al. (2013) · Cancer Cell · doi:10.1016/j.ccr.2013.08.001 · Cited by 1,139

DAVID-WS: a stateful web service to facilitate gene/protein list analysis

Jiao, X., Sherman, B. T., Huang, D. W., Stephens, R. M., Baseler, M., Lane, H. C., & Lempicki, R. A. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts251 · Cited by 1,066

Classification and prediction of clinical Alzheimer's diagnosis based on plasma signaling proteins

Ray, S., Britschgi, M., Herbert, C., Takeda-Uchimura, Y., Boxer, A., Blennow, K., Friedman, L. F., Galasko, D. R., Jutel, M., Karydas, A., et al. (2007) · Nature Medicine · doi:10.1038/nm1653 · Cited by 1,048

Transcriptome sequencing across a prostate cancer cohort identifies PCAT-1, an unannotated lincRNA implicated in disease progression

Prensner, J. R., Iyer, M. K., Balbin, O. A., Dhanasekaran, S. M., Cao, Q., Brenner, J. C., Laxman, B., Asangani, I. A., Grasso, C. S., Kominsky, H. D., et al. (2011) · Nature Biotechnology · doi:10.1038/nbt.1914 · Cited by 1,037

TFEB controls cellular lipid metabolism through a starvation-induced autoregulatory loop

Settembre, C., De Cegli, R., Mansueto, G., Saha, P. K., Vetrini, F., Visvikis, O., Huynh, T., Carissimo, A., Palmer, D., Jürgen Klisch, T., et al. (2013) · Nature Cell Biology · doi:10.1038/ncb2718 · Cited by 1,022

Differential Ly-6C expression identifies the recruited macrophage phenotype, which orchestrates the regression of murine liver fibrosis

Ramachandran, P., Pellicoro, A., Vernon, M. A., Boulter, L., Aucott, R. L., Ali, A., Hartland, S. N., Snowdon, V. K., Cappon, A., Gordon-Walker, T. T., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1119964109 · Cited by 1,001

The DNA damage response induces inflammation and senescence by inhibiting autophagy of GATA4.

Kang, C., Xu, Q., Martin, T. D., Li, M. Z., Demaria, M., Aron, L., Lu, T., Yankner, B. A., Campisi, J., & Elledge, S. J. (2015) · Science · doi:10.1126/science.aaa5612 · Cited by 982

Hyperglycemia drives intestinal barrier dysfunction and risk for enteric infection

Thaiss, C. A., Levy, M., Grosheva, I., Zheng, D., Soffer, E., Blacher, E., Braverman, S., Tengeler, A. C., Barak, O., Elazar, M., et al. (2018) · Science · doi:10.1126/science.aar3318 · Cited by 942

Precision Mapping of an In Vivo N-Glycoproteome Reveals Rigid Topological and Sequence Constraints

Zielinska, D. F., Gnad, F., Wiśniewski, J. R., & Mann, M. (2010) · Cell · doi:10.1016/j.cell.2010.04.012 · Cited by 905

A draft network of ligand–receptor-mediated multicellular signalling in human

Ramilowski, J. A., Goldberg, T., Harshbarger, J., Kloppmann, E., Lizio, M., Satagopam, V. P., Itoh, M., Kawaji, H., Carninci, P., Rost, B., et al. (2015) · Nature Communications · doi:10.1038/ncomms8866 · Cited by 887

A Gene Expression Signature Associated with “K-Ras Addiction” Reveals Regulators of EMT and Tumor Cell Survival

Singh, A., Greninger, P., Rhodes, D., Koopman, L., Violette, S., Bardeesy, N., & Settleman, J. (2009) · Cancer Cell · doi:10.1016/j.ccr.2009.03.022 · Cited by 841

Direct Transfer of α-Synuclein from Neuron to Astroglia Causes Inflammatory Responses in Synucleinopathies

Lee, H.-J., Suk, J.-E., Patrick, C., Bae, E.-J., Cho, J.-H., Rho, S., Hwang, D., Masliah, E., & Lee, S.-J. (2010) · Journal of Biological Chemistry · doi:10.1074/jbc.m109.081125 · Cited by 877

Characterization of a Naturally Occurring Breast Cancer Subset Enriched in Epithelial-to-Mesenchymal Transition and Stem Cell Characteristics

Hennessy, B. T., Gonzalez-Angulo, A. M., Stemke‐Hale, K., Gilcrease, M. Z., Krishnamurthy, S., Lee, J., Fridlyand, J., Şahin, A. A., Agarwal, R., Joy, C., et al. (2009) · Cancer Research · doi:10.1158/0008-5472.can-08-3441 · Cited by 874

Eotaxin-3 and a uniquely conserved gene-expression profile in eosinophilic esophagitis

Blanchard, C. (2006) · Journal of Clinical Investigation · doi:10.1172/jci26679 · Cited by 871

Microbiota Diurnal Rhythmicity Programs Host Transcriptome Oscillations

Thaiss, C. A., Levy, M., Korem, T., Dohnalová, L., Shapiro, H., Jaitin, D. A., David, E., Winter, D. R., Gury-BenAri, M., Tatirovsky, E., et al. (2016) · Cell · doi:10.1016/j.cell.2016.11.003 · Cited by 870

Eigengene networks for studying the relationships between co-expression modules

Langfelder, P., & Horvath, S. (2007) · BMC Systems Biology · doi:10.1186/1752-0509-1-54 · Cited by 867

Distinct epigenomic landscapes of pluripotent and lineage-committed human cells

Hawkins, R. D., Hon, G. C., Lee, L. K., Ngo, Q., Lister, R., Pelizzola, M., Edsall, L. E., Kuan, S., Luu, Y., Klugman, S., et al. (2010) · Cell stem cell · doi:10.1016/j.stem.2010.03.018 · Cited by 806

Quantitative interaction proteomics and genome-wide profiling of epigenetic histone marks and their readers

Vermeulen, M., Eberl, H. C., Matarese, F., Marks, H., Denissov, S., Butter, F., Lee, K. K., Olsen, J. V., Hyman, A. A., Stunnenberg, H. G., et al. (2010) · Cell · doi:10.1016/j.cell.2010.08.020 · Cited by 806

PPARγ and C/EBP factors orchestrate adipocyte biology via adjacent binding on a genome-wide scalePreprint

Lefterova, M. I., Zhang, Y., Steger, D. J., Schupp, M., Schug, J., Cristancho, A. G., Feng, D., Zhuo, D. X., Stoeckert, C. J., Liu, X. S., et al. (2008) · Genes & Development · doi:10.1101/gad.1709008 · Cited by 826

NOTCH1 directly regulates c-MYC and activates a feed-forward-loop transcriptional network promoting leukemic cell growth

Palomero, T., Lim, W. K., Odom, D. T., Sulis, M. L., Real, P. J., Margolin, A. A., Barnes, K., O’Neil, J., Neuberg, D. S., Weng, A. P., et al. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0606108103 · Cited by 821

An Abundance of Ubiquitously Expressed Genes Revealed by Tissue Transcriptome Sequence Data

Ramsköld, D., Wang, E. T., Burge, C. B., & Sandberg, R. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000598 · Cited by 820

Diabetic neuropathy: Mechanisms to management

Edwards, J. L., Vincent, A. M., Cheng, H. T., & Feldman, E. L. (2008) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2008.05.005 · Cited by 808

Maturation of mouse NK cells is a 4-stage developmental program

Chiossone, L., Chaix, J., Fuséri, N., Roth, C., Vivier, É., & Walzer, T. (2009) · Blood · doi:10.1182/blood-2008-10-187179 · Cited by 778

MSEA: a web-based tool to identify biologically meaningful patterns in quantitative metabolomic data

Xia, J., & Wishart, D. S. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq329 · Cited by 794

PAGE: Parametric Analysis of Gene Set Enrichment

Kim, S., & Volsky, D. J. (2005) · BMC Bioinformatics · doi:10.1186/1471-2105-6-144 · Cited by 777

Identification and classification of chromosomal aberrations in human induced pluripotent stem cells

Mayshar, Y., Ben-David, U., Lavon, N., Biancotti, J.-C., Yakir, B., Clark, A. T., Plath, K., Lowry, W. E., & Benvenisty, N. (2010) · Cell stem cell · doi:10.1016/j.stem.2010.07.017 · Cited by 756

Clonal Architecture of Secondary Acute Myeloid Leukemia

Walter, M. J., Shen, D., Ding, L., Shao, J., Koboldt, D. C., Chen, K., Larson, D. E., McLellan, M. D., Dooling, D. J., Abbott, R. M., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1106968 · Cited by 795

A Genomic Approach to Identify Regulatory Nodes in the Transcriptional Network of Systemic Acquired Resistance in Plants

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Salicylic Acid Inhibits Pathogen Growth in Plants through Repression of the Auxin Signaling Pathway

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