The DOI matches its Crossref record; 64 of the 65 references it cites were found in a registry or an index.
Discovering Motifs in Ranked Lists of DNA Sequences
Open accessAbstract
Computational methods for discovery of sequence elements that are enriched in a target set compared with a background set are fundamental in molecular biology research. One example is the discovery of transcription factor binding motifs that are inferred from ChIP-chip (chromatin immuno-precipitation on a microarray) measurements. Several major challenges in sequence motif discovery still require consideration: (i) the need for a principled approach to partitioning the data into target and background sets; (ii) the lack of rigorous models and of an exact p-value for measuring motif enrichment; (iii) the need for an appropriate framework for accounting for motif multiplicity; (iv) the tendency, in many of the existing methods, to report presumably significant motifs even when applied to randomly generated data. In this paper we present a statistical framework for discovering enriched sequence elements in ranked lists that resolves these four issues. We demonstrate the implementation of this framework in a software application, termed DRIM (discovery of rank imbalanced motifs), which identifies sequence motifs in lists of ranked DNA sequences. We applied DRIM to ChIP-chip and CpG methylation data and obtained the following results. (i) Identification of 50 novel putative transcription factor (TF) binding sites in yeast ChIP-chip data. The biological function of some of them was further investigated to gain new insights on transcription regulation networks in yeast. For example, our discoveries enable the elucidation of the network of the TF ARO80. Another finding concerns a systematic TF binding enhancement to sequences containing CA repeats. (ii) Discovery of novel motifs in human cancer CpG methylation data. Remarkably, most of these motifs are similar to DNA sequence elements bound by the Polycomb complex that promotes histone methylation. Our findings thus support a model in which histone methylation and CpG methylation are mechanistically linked. Overall, we demonstrate that the statistical framework embodied in the DRIM software tool is highly effective for identifying regulatory sequence elements in a variety of applications ranging from expression and ChIP-chip to CpG methylation data. DRIM is publicly available at http://bioinfo.cs.technion.ac.il/drim.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“These were enriched for specialized programs across ages: Embryonic epithelia upregulated genes for developmental processes (Figure 3K, S3K), while aged epithelia upregulated host-defense programs (Figure 3L, FDR q-value < 0.01, GOrilla (Eden et al., 2007, 2009;Baruch et al., 2014).”
From A cellular and spatial map of the choroid plexus across brain ventricles and ages (2021) · cites this paper as Eden et al., 2007
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Fitting a mixture model by expectation maximization to discover motifs in biopolymers.
Bailey, T. L., & Elkan, C. (1994) · PubMed · Cited by 4,982
Transcriptional Regulatory Networks in Saccharomyces cerevisiae
Lee, T. I., Rinaldi, N. J., Robert, F., Odom, D. T., Bar-Joseph, Z., Gerber, G. K., Hannett, N. M., Harbison, C. T., Thompson, C. M., Simon, I., et al. (2002) · Science · doi:10.1126/science.1075090 · Cited by 2,956
Control of Developmental Regulators by Polycomb in Human Embryonic Stem Cells
Lee, T. I., Jenner, R. G., Boyer, L. A., Guenther, M. G., Levine, S. S., Kumar, R., Chevalier, B. S., Johnstone, S. E., Cole, M. F., Isono, K., et al. (2006) · Cell · doi:10.1016/j.cell.2006.02.043 · Cited by 2,296
The Polycomb group protein EZH2 directly controls DNA methylation
Viré, E., Brenner, C., Deplus, R., Blanchon, L., Fraga, M., Didelot, C., Morey, L., Van Eynde, A., Bernard, D., Vanderwinden, J.-M., et al. (2006) · Nature · doi:10.1038/nature04431 · Cited by 2,204
Transcriptional regulatory code of a eukaryotic genome
Harbison, C. T., Gordon, D. B., Lee, T. I., Rinaldi, N. J., MacIsaac, K. D., Danford, T., Hannett, N. M., Tagne, J., Reynolds, D. B., Yoo, J. Y., et al. (2004) · Nature · doi:10.1038/nature02800 · Cited by 2,135
Boyle, E. I., Weng, S., Gollub, J., Jin, H., Botstein, D., Cherry, J. M., & Sherlock, G. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth456 · Cited by 2,067
Molecular classification of cutaneous malignant melanoma by gene expression profiling
Bittner, M. L., Meltzer, P. S., Chen, Y., Jiang, Y. Y., Seftor, E. A., Hendrix, M. J. C., Radmacher, M. D., Simon, R., Zohar Yakhini, B., Ben‐Dor, A., et al. (2000) · Nature · doi:10.1038/35020115 · Cited by 1,989
Genome-Wide Location and Function of DNA Binding Proteins
Ren, B., Robert, F., Wyrick, J. J., Aparicio, O. M., Jennings, E. G., Simon, I., Zeitlinger, J., Schreiber, J., Hannett, N. M., Kanin, E. I., et al. (2000) · Science · doi:10.1126/science.290.5500.2306 · Cited by 1,768
Control of Pancreas and Liver Gene Expression by HNF Transcription Factors
Odom, D. T., Zizlsperger, N., Gordon, D. B., Bell, G. W., Rinaldi, N. J., Murray, H. L., Volkert, T. L., Schreiber, J., Rolfe, A., Gifford, D. K., et al. (2004) · Science · doi:10.1126/science.1089769 · Cited by 1,348
Flagged first, then by citations
1 of the 65 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Molecular and genetic properties of tumors associated with local immune cytolytic activity
Rooney, M. S., Shukla, S. A., Wu, C. J., Getz, G., & Hacohen, N. (2015) · Cell · doi:10.1016/j.cell.2014.12.033 · Cited by 3,825
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
Host microbiota constantly control maturation and function of microglia in the CNS
Erny, D., Hrabě de Angelis, A. L., Jaitin, D., Wieghofer, P., Staszewski, O., David, E., Keren-Shaul, H., Mahlakoiv, T., Jakobshagen, K., Buch, T., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4030 · Cited by 3,569
Microglia development follows a stepwise program to regulate brain homeostasis
Matcovitch-Natan, O., Winter, D. R., Giladi, A., Vargas Aguilar, S., Spinrad, A., Sarrazin, S., Ben-Yehuda, H., David, E., Zelada González, F., Perrin, P., et al. (2016) · Science · doi:10.1126/science.aad8670 · Cited by 1,180
Reyfman, P. A., Walter, J. M., Joshi, N., Anekalla, K. R., McQuattie-Pimentel, A. C., Chiu, S., Fernandez, R., Akbarpour, M., Chen, C.-I., Ren, Z., et al. (2019) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201712-2410oc · Cited by 1,203
Monocyte-derived alveolar macrophages drive lung fibrosis and persist in the lung over the life span
Misharin, A. V., Morales-Nebreda, L., Reyfman, P. A., Cuda, C. M., Walter, J. M., McQuattie-Pimentel, A. C., Chen, C.-I., Anekalla, K. R., Joshi, N., Williams, K. J. N., et al. (2017) · Journal of Experimental Medicine · doi:10.1084/jem.20162152 · Cited by 1,133
The NASA Twins Study: A multidimensional analysis of a year-long human spaceflight
Garrett-Bakelman, F. E., Darshi, M., Green, S. J., Gur, R. C., Lin, L., Macias, B. R., McKenna, M. J., Meydan, C., Mishra, T., Nasrini, J., et al. (2019) · Science · doi:10.1126/science.aau8650 · Cited by 1,128
RNA-Methylation-Dependent RNA Processing Controls the Speed of the Circadian Clock
Fustin, J., Doi, M., Yamaguchi, Y., Hayashi, H., Nishimura, S., Yoshida, M., Isagawa, T., Morioka, M. S., Kakeya, H., Manabe, I., et al. (2013) · Cell · doi:10.1016/j.cell.2013.10.026 · Cited by 980
Dulak, A. M., Stojanov, P., Peng, S., Lawrence, M. S., Fox, C., Stewart, C., Bandla, S., Imamura, Y., Schumacher, S. E., Shefler, E., et al. (2013) · Nature Genetics · doi:10.1038/ng.2591 · Cited by 736
Motif Enrichment Analysis: a unified framework and an evaluation on ChIP data
McLeay, R. C., & Bailey, T. L. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-165 · Cited by 687
Div-Seq: Single-nucleus RNA-Seq reveals dynamics of rare adult newborn neurons
Habib, N., Li, Y., Heidenreich, M., Swiech, L., Avraham-Davidi, I., Trombetta, J. J., Hession, C., Zhang, F., & Regev, A. (2016) · Science · doi:10.1126/science.aad7038 · Cited by 601
DC isoketal-modified proteins activate T cells and promote hypertension
Kirabo, A., Fontana, V., de Faria, A. P., Loperena, R., Galindo, C. L., Wu, J., Bikineyeva, A. T., Dikalov, S., Xiao, L., Chen, W., et al. (2014) · Journal of Clinical Investigation · doi:10.1172/jci74084 · Cited by 549
Abundant Pleiotropy in Human Complex Diseases and Traits
Sivakumaran, S., Agakov, F. V., Τheodoratou, E., Prendergast, J. G. D., Zgaga, L., Manolio, T. A., Rudan, I., McKeigue, P., Wilson, J. F., & Campbell, H. J. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.10.004 · Cited by 538
Seidlitz, J., Váša, F., Shinn, M., Romero-García, R., Whitaker, K. J., Vértes, P. E., Wagstyl, K., Reardon, P. K., CLASEN, L. S., Liu, S., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.11.039 · Cited by 496
The Notch and Wnt pathways regulate stemness and differentiation in human fallopian tube organoids
Kessler, M., Hoffmann, K., Brinkmann, V., Thieck, O., Jackisch, S., Toelle, B., Berger, H., Mollenkopf, H., Mangler, M., Sehouli, J., et al. (2015) · Nature Communications · doi:10.1038/ncomms9989 · Cited by 468
A Distinct Gene Module for Dysfunction Uncoupled from Activation in Tumor-Infiltrating T Cells
Singer, M., Wang, C., Cong, L., Marjanovic, N. D., Kowalczyk, M. S., Zhang, H., Nyman, J., Sakuishi, K., Kurtuluş, S., Gennert, D. G., et al. (2016) · Cell · doi:10.1016/j.cell.2016.08.052 · Cited by 422
A Quantitative Tissue-Specific Landscape of Protein Redox Regulation during Aging
Xiao, H., Jedrychowski, M. P., Schweppe, D. K., Huttlin, E. L., Yu, Q., Heppner, D. E., Li, J., Long, J., Mills, E. L., Szpyt, J., et al. (2020) · Cell · doi:10.1016/j.cell.2020.02.012 · Cited by 412
Developmental programming of CpG island methylation profiles in the human genome
Straussman, R., Nejman, D., Roberts, D. N., Steinfeld, I., Blum, B., Benvenisty, N., Simon, I., Yakhini, Z., & Cedar, H. (2009) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.1594 · Cited by 404
Pezzulo, A. A., Starner, T. D., Scheetz, T. E., Traver, G. L., Tilley, A. E., Harvey, B., Crystal, R. G., McCray, P. B., & Zabner, J. (2010) · American Journal of Physiology-Lung Cellular and Molecular Physiology · doi:10.1152/ajplung.00256.2010 · Cited by 390
Benayoun, B. A., Pollina, E. A., Singh, P. P., Mahmoudi, S., Harel, I., Casey, K. M., Dulken, B. W., Kundaje, A., & Brunet, A. (2019) · Genome Research · doi:10.1101/gr.240093.118 · Cited by 360
A cellular and spatial map of the choroid plexus across brain ventricles and ages
Dani, N., Herbst, R. H., McCabe, C., Green, G. S., Kaiser, K., Head, J. P., Cui, J., Shipley, F. B., Jang, A., Dionne, D., et al. (2021) · Cell · doi:10.1016/j.cell.2021.04.003 · Cited by 388
Artemisinins Target GABAA Receptor Signaling and Impair α Cell Identity
Li, J., Casteels, T., Frogne, T., Ingvorsen, C., Honoré, C., Courtney, M. L., Huber, K., Schmitner, N., Kimmel, R. A., Romanov, R. A., et al. (2016) · Cell · doi:10.1016/j.cell.2016.11.010 · Cited by 397
The genomic landscape of nasopharyngeal carcinoma
Lin, D., Meng, X., Hazawa, M., Nagata, Y., Varela, A. M., Xu, L., Sato, Y., Liu, L., Ding, L., Sharma, A., et al. (2014) · Nature Genetics · doi:10.1038/ng.3006 · Cited by 371
Liu, C., Chikina, M. D., Deshpande, R., Menk, A. V., Wang, T., Tabib, T., Brunazzi, E. A., Vignali, K. M., Sun, M., Stolz, D. B., et al. (2019) · Immunity · doi:10.1016/j.immuni.2019.06.017 · Cited by 347
The Fine-Scale and Complex Architecture of Human Copy-Number Variation
Perry, G. H., Ben‐Dor, A., Tsalenko, A., Sampas, N., Rodríguez‐Revenga, L., Tran, C. W., Scheffer-Wong, A., Steinfeld, I., Tsang, P. W. K., Yamada, N. A., et al. (2008) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2007.12.010 · Cited by 346
Transcriptomic and cellular decoding of regional brain vulnerability to neurogenetic disorders
Seidlitz, J., Nadig, A., Liu, S., Bethlehem, R. A. I., Vértes, P. E., Morgan, S. E., Váša, F., Romero-García, R., Lalonde, F. M., CLASEN, L. S., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17051-5 · Cited by 349
DNA methylation profiles of human active and inactive X chromosomesPreprint
Sharp, A. J., Stathaki, E., Migliavacca, E., Brahmachary, M., Montgomery, S. B., Dupré, Y., & Antonarakis, S. E. (2011) · Genome Research · doi:10.1101/gr.112680.110 · Cited by 329
miRNA-mRNA Integrated Analysis Reveals Roles for miRNAs in Primary Breast Tumors
Enerly, E., Steinfeld, I., Sahlberg, K. K., Leivonen, S., Aure, M. R. R., Russnes, H. G., Rønneberg, J. A., Johnsen, H., Navon, R., Rødland, E. A., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016915 · Cited by 306
Kim, K. H., Son, J. M., Benayoun, B. A., & Lee, C. D. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.06.008 · Cited by 318
Martyn, G. E., Wienert, B., Yang, L., Shah, M., Norton, L. J., Burdach, J., Kurita, R., Nakamura, Y., Pearson, R. C. M., Funnell, A. P. W., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0085-0 · Cited by 300
SCINA: A Semi-Supervised Subtyping Algorithm of Single Cells and Bulk Samples
Zhang, Z., Luo, D., Zhong, X. Y., Choi, J. H., Ma, Y., Wang, S., Mahrt, E., Guo, W., Stawiski, E. W., Modrusan, Z. D., et al. (2019) · Genes · doi:10.3390/genes10070531 · Cited by 285
pH-gated succinate secretion regulates muscle remodeling in response to exercise
Reddy, A., Bozi, L. H. M., Yaghi, O. K., Mills, E. L., Xiao, H., Nicholson, H. E., Paschini, M., Paulo, J. A., Garrity, R., Laznik-Bogoslavski, D., et al. (2020) · Cell · doi:10.1016/j.cell.2020.08.039 · Cited by 279
Detecting microRNA binding and siRNA off-target effects from expression data
van Dongen, S., Abreu‐Goodger, C., & Enright, A. J. (2008) · Nature Methods · doi:10.1038/nmeth.1267 · Cited by 269
Nrl knockdown by AAV-delivered CRISPR/Cas9 prevents retinal degeneration in mice
Yu, W., Mookherjee, S., Chaitankar, V., Hiriyanna, S., Kim, J.-W., Brooks, M., Ataeijannati, Y., Sun, X., Dong, L., Li, T., et al. (2017) · Nature Communications · doi:10.1038/ncomms14716 · Cited by 271
Deczkowska, A., Matcovitch-Natan, O., Tsitsou-Kampeli, A., Ben-Hamo, S., Dvir-Szternfeld, R., Spinrad, A., Singer, O., David, E., Winter, D. R., Smith, L. K., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-00769-0 · Cited by 260
The transcriptional landscape of αβ T cell differentiation
Mingueneau, M., Kreslavsky, T., Gray, D. H. D., Heng, T. S. P., Cruse, R., Ericson, J., Bendall, S. C., Spitzer, M. H., Nolan, G. P., Kobayashi, K. S., et al. (2013) · Nature Immunology · doi:10.1038/ni.2590 · Cited by 267
Chen, H.-M., van der Touw, W., Wang, Y. S., Kang, K., Mai, S., Zhang, J., Alsina‐Beauchamp, D., Duty, J. A., Mungamuri, S. K., Zhang, B., et al. (2018) · Journal of Clinical Investigation · doi:10.1172/jci97570 · Cited by 254
Finkbeiner, S. R., Hill, D. R., Altheim, C. H., Dedhia, P. H., Taylor, M. J., Tsai, Y.-H., Chin, A. M., Mahé, M. M., Watson, C. L., Freeman, J. J., et al. (2015) · Stem Cell Reports · doi:10.1016/j.stemcr.2015.04.010 · Cited by 260
ASCL1 reprograms mouse Müller glia into neurogenic retinal progenitors
Pollak, J., Wilken, M. S., Ueki, Y., Cox, K. E., Sullivan, J., Taylor, R. J., Levine, E. M., & Reh, T. A. (2013) · Development · doi:10.1242/dev.091355 · Cited by 253
H3K9me3-heterochromatin loss at protein-coding genes enables developmental lineage specification
Nicetto, D., Donahue, G., Jain, T., Peng, T., Sidoli, S., Sheng, L., Montavon, T., Becker, J. S., Grindheim, J. M., Blahnik, K. R., et al. (2019) · Science · doi:10.1126/science.aau0583 · Cited by 240
A Vertebrate Polycomb Response Element Governs Segmentation of the Posterior Hindbrain
Sing, A., Pannell, D., Karaiskakis, A., Sturgeon, K., Djabali, M., Ellis, J., Lipshitz, H. D., & Cordes, S. P. (2009) · Cell · doi:10.1016/j.cell.2009.08.020 · Cited by 250
Duodenum Intestine-Chip for preclinical drug assessment in a human relevant model
Kasendra, M. J., Luc, R., Yin, J., Manatakis, D. V., Kulkarni, G., Lucchesi, C., Sliz, J. D., Apostolou, A. P., Sunuwar, L., Obrigewitch, J., et al. (2020) · eLife · doi:10.7554/elife.50135 · Cited by 234
Vértes, P. E., Rittman, T., Whitaker, K. J., Romero-García, R., Váša, F., Kitzbichler, M. G., Wagstyl, K., Fonagy, P., Dolan, R. J., Jones, P. B., et al. (2016) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2015.0362 · Cited by 206
MoMo: discovery of statistically significant post-translational modification motifs
Cheng, A., Grant, C. E., Noble, W. S., & Bailey, T. L. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty1058 · Cited by 204
Hu, Z., Artibani, M., Alsaadi, A., Wietek, N. C., Morotti, M., Shi, T., Zhong, Z., González, L. S., El-Sahhar, S., Carrami, E. M., et al. (2020) · Cancer Cell · doi:10.1016/j.ccell.2020.01.003 · Cited by 195
VDAC2 enables BAX to mediate apoptosis and limit tumor development
Chin, H. S., Li, M. X., Tan, I. K. L., Ninnis, R. L., Reljic, B., Scicluna, K., Dagley, L. F., Sandow, J. J., Kelly, G. L., Samson, A. L., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07309-4 · Cited by 196
Dynamics of DNA Methylation in Recent Human and Great Ape Evolution
Hernando-Herraez, I., Prado-Martinez, J., Garg, P., Fernández-Callejo, M., Heyn, H., Hvilsom, C., Navarro, A., Esteller, M., Sharp, A. J., & Marquès‐Bonet, T. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003763 · Cited by 206
Bock, C., & Lengauer, T. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm546 · Cited by 196
A Model-Based Approach for Identifying Signatures of Ancient Balancing Selection in Genetic Data
DeGiorgio, M., Lohmueller, K. E., & Nielsen, R. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004561 · Cited by 179
Watson, C. T., Szutorisz, H., Garg, P., Martin, Q., Landry, J. A., Sharp, A. J., & Hurd, Y. L. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2015.155 · Cited by 185
scDART-seq reveals distinct m6A signatures and mRNA methylation heterogeneity in single cells
Tegowski, M., Flamand, M. N., & Meyer, K. D. (2022) · Molecular Cell · doi:10.1016/j.molcel.2021.12.038 · Cited by 185
Blank, T., Detje, C. N., Spieß, A., Hagemeyer, N., Brendecke, S. M., Wolfart, J., Staszewski, O., Zöller, T., Papageorgiou, I. E., Schneider, J., et al. (2016) · Immunity · doi:10.1016/j.immuni.2016.04.005 · Cited by 182
Identifying drug targets in tissues and whole blood with thermal-shift profiling
Perrin, J., Werner, T., Kurzawa, N., Rutkowska, A., Childs, D. D., Kalxdorf, M., Poeckel, D., Stonehouse, E., Strohmer, K., Heller, B., et al. (2020) · Nature Biotechnology · doi:10.1038/s41587-019-0388-4 · Cited by 178
Stability and aggregation of ranked gene lists
Boulesteix, A., & Slawski, M. (2009) · Briefings Bioinform. · doi:10.1093/bib/bbp034 · Cited by 192
Gutiérrez‐Arcelus, M., Teslovich, N. C., Mola, A. R., Polidoro, R. B., Nathan, A., Kim, H., Hannes, S. K., Slowikowski, K., Watts, G. F. M., Korsunsky, I., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-08604-4 · Cited by 168
Braten, O., Livneh, I., Ziv, T., Admon, A., Kehat, I., Caspi, L. H., Gonen, H., Bercovich, B., Godzik, A., Jahandideh, S. S., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1608644113 · Cited by 173
Single-cell RNA sequencing of human liver reveals hepatic stellate cell heterogeneity
Payen, V. L., Lavergne, A., Alevra Sarika, N., Colonval, M., Karim, L., Deckers, M., Najimi, M., Coppieters, W., Charloteaux, B., Sokal, E. M., et al. (2021) · JHEP Reports · doi:10.1016/j.jhepr.2021.100278 · Cited by 160
Cancer cells enter dormancy after cannibalizing mesenchymal stem/stromal cells (MSCs)
Bartosh, T. J., Ullah, M., Zeitouni, S., Beaver, J., & Prockop, D. J. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1612290113 · Cited by 169
PASTAA: identifying transcription factors associated with sets of co-regulated genes
Roider, H. G., Manke, T., O'Keeffe, S., Vingron, M., & Haas, S. A. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btn627 · Cited by 154
Lee, B., Bhinge, A., & Iyer, V. R. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkq1313 · Cited by 157
Marttila, S., Kananen, L., Häyrynen, S., Jylhävä, J., Nevalainen, T., Hervonen, A., Jylhä, M. K., Nykter, M., & Hurme, M. (2015) · BMC Genomics · doi:10.1186/s12864-015-1381-z · Cited by 154
Wright, A. E., Darolti, I., Bloch, N. I., Oostra, V., Sandkam, B. A., Buechel, S. D., Kolm, N., Breden, F. J., Viçoso, B., & Mank, J. E. (2017) · Nature Communications · doi:10.1038/ncomms14251 · Cited by 148
Frakes, A. E., Metcalf, M. G., Tronnes, S. U., Bar‐Ziv, R., Durieux, J., Gildea, H. K., Kandahari, N., Monshietehadi, S., & Dillin, A. G. (2020) · Science · doi:10.1126/science.aaz6896 · Cited by 146
Identification of Driver and Passenger DNA Methylation in Cancer by Epigenomic Analysis
Kalari, S. K., & Pfeifer, G. P. (2010) · Advances in genetics · doi:10.1016/b978-0-12-380866-0.60010-1 · Cited by 143
kpLogo: positional k-mer analysis reveals hidden specificity in biological sequences
Wu, X., & Bartel, D. P. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx323 · Cited by 140
Tennessen, J. M., Bertagnolli, N. M., Evans, J. M., Sieber, M., Cox, J. E., & Thummel, C. S. (2014) · G3 Genes Genomes Genetics · doi:10.1534/g3.114.010652 · Cited by 141
Transcriptome Profiling of the Murine Testis during the First Wave of Spermatogenesis
Laiho, A., Kotaja, N., Gyenesei, A., & Sironen, A. I. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061558 · Cited by 138
de Porras, V. R., Bystrup, S., Martínez‐Cardús, A., Pluvinet, R., Sumoy, L., Howells, L. M., James, M. I., Iwuji, C., Manzano, J. L., Layos, L., et al. (2016) · Scientific Reports · doi:10.1038/srep24675 · Cited by 136
Avoiding the pitfalls of gene set enrichment analysis with SetRank
Simillion, C., Liechti, R., Lischer, H. E. L., Ioannidis, V., & Bruggmann, R. (2017) · BMC Bioinformatics · doi:10.1186/s12859-017-1571-6 · Cited by 131
Barker, B. M., Kroll, K., Vödisch, M., Mazurie, A., Kniemeyer, O., & Cramer, R. A. (2012) · BMC Genomics · doi:10.1186/1471-2164-13-62 · Cited by 127
Tahiri, A., Leivonen, S., Lüders, T., Steinfeld, I., Aure, M. R. R., Geisler, J., Mäkelä, R., Nord, S., Riis, M. L. H., Zohar Yakhini, B., et al. (2013) · Carcinogenesis · doi:10.1093/carcin/bgt333 · Cited by 125
Betzel, R. F., Medaglia, J. D., Kahn, A. E., Soffer, J., Schonhaut, D. R., & Bassett, D. S. (2019) · Nature Biomedical Engineering · doi:10.1038/s41551-019-0404-5 · Cited by 129
Masculinization of Gene Expression Is Associated with Exaggeration of Male Sexual Dimorphism
Pointer, M. A., Harrison, P. W., Wright, A. E., & Mank, J. E. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003697 · Cited by 132
The activity-dependent histone variant H2BE modulates the life span of olfactory neurons
Santoro, S. W., & Dulac, C. G. (2012) · eLife · doi:10.7554/elife.00070 · Cited by 124
Campbell, C., Dikiy, S., Bhattarai, S. K., Chinen, T., Matheis, F., Calafiore, M., Hoyos, B. E., Hanash, A. M., Mucida, D., Bucci, V., et al. (2018) · Immunity · doi:10.1016/j.immuni.2018.04.013 · Cited by 121
The hyaluronidase, TMEM2, promotes ER homeostasis and longevity independent of the UPRER
Schinzel, R. T., Higuchi-Sanabria, R., Shalem, O., Moehle, E. A., Webster, B. M., Joe, L., Bar-Ziv, R., Frankino, P. A., Durieux, J., Pender, C., et al. (2019) · Cell · doi:10.1016/j.cell.2019.10.018 · Cited by 117
Blood pressure regulation by CD4+ lymphocytes expressing choline acetyltransferase
Olofsson, P. S., Steinberg, B. E., Sobbi, R., Cox, M. A., Ahmed, M. N., Oswald, M., Szekeres, F. L. M., Hanes, W. M., Introini, A., Liu, S. F., et al. (2016) · Nature Biotechnology · doi:10.1038/nbt.3663 · Cited by 118
Tail Bud Progenitor Activity Relies on a Network Comprising Gdf11, Lin28, and Hox13 Genes
Aires, R., de Lemos, L., Nóvoa, A., Jurberg, A. D., Mascrez, B., Duboule, D., & Mallo, M. (2019) · Developmental Cell · doi:10.1016/j.devcel.2018.12.004 · Cited by 113
Merging transcriptomics and metabolomics - advances in breast cancer profiling
Borgan, E., Sitter, B., Lingjærde, O. C., Johnsen, H., Lundgren, S., Bathen, T. F., Sørlie, T., Børresen‐Dale, A., & Gribbestad, I. S. (2010) · BMC Cancer · doi:10.1186/1471-2407-10-628 · Cited by 112
Chromatin features constrain structural variation across evolutionary timescales
Fudenberg, G., & Pollard, K. S. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1808631116 · Cited by 107
Variation in promiscuity and sexual selection drives avian rate of Faster‐Z evolution
Wright, A. E., Harrison, P. W., Zimmer, F., Montgomery, S. H., Pointer, M. A., & Mank, J. E. (2015) · Molecular Ecology · doi:10.1111/mec.13113 · Cited by 110
Marquer, C., Lainé, J., Dauphinot, L., Hanbouch, L., Lemercier-Neuillet, C., Pierrot, N., Bossers, K., Le, M., Corlier, F. W., Benstaali, C., et al. (2014) · Molecular Neurodegeneration · doi:10.1186/1750-1326-9-60 · Cited by 106
Regulation of lipids is central to replicative senescence
Lizardo, D. Y., Lin, Y., Gökçümen, Ö., & Atilla‐Gokcumen, G. E. (2017) · Molecular BioSystems · doi:10.1039/c6mb00842a · Cited by 102
A Feature-Based Approach to Modeling Protein–DNA Interactions
Sharon, E., Lubliner, S., & Segal, E. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000154 · Cited by 103
DAZL Limits Pluripotency, Differentiation, and Apoptosis in Developing Primordial Germ Cells
Chen, H.-H., Welling, M., Bloch, D. B., Muñoz, J., Mientjes, E., Chen, X., Tramp, C. A., Wu, J., Yabuuchi, A., Chou, Y., et al. (2014) · Stem Cell Reports · doi:10.1016/j.stemcr.2014.09.003 · Cited by 104
DNA replication stress restricts ribosomal DNA copy number
Salim, D., Bradford, W. D., Freeland, A. L., Cady, G. K., Wang, J., Pruitt, S. C., & Gerton, J. L. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1007006 · Cited by 98
An energy costly architecture of neuromodulators for human brain evolution and cognition
Castrillón, G., Epp, S. M., Bose, A., Fraticelli, L., Hechler, A., Belenya, R., Ranft, A., Yakushev, I. Y., Utz, L., Sundar, L. K. S., et al. (2023) · Science Advances · doi:10.1126/sciadv.adi7632 · Cited by 102
Li, L. (2009) · Journal of Computational Biology · doi:10.1089/cmb.2008.16tt · Cited by 97
Finding the target sites of RNA ‐binding proteins
Li, X., Kazan, H., Lipshitz, H. D., & Morris, Q. (2013) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1201 · Cited by 94
Tri-methylation of histone H3 lysine 4 facilitates gene expression in ageing cells
Cruz, C., Rosa, M. D., Krueger, C., Gao, Q., Horkai, D., King, M. R., Field, L., & Houseley, J. M. (2018) · eLife · doi:10.7554/elife.34081 · Cited by 102
Schmidt, S., Gay, D. M., Uthe, F. W., Denk, S., Paauwe, M., Matthes, N., Diefenbacher, M. E., Bryson, S., Warrander, F., Erhard, F., et al. (2019) · Nature Cell Biology · doi:10.1038/s41556-019-0408-0 · Cited by 98
Lotsberg, M. L., Wnuk-Lipińska, K., Terry, S., Tan, T. Z., Lü, N., Trachsel-Moncho, L., Røsland, G. V., Siraji, M. I., Hellesøy, M., Rayford, A. J., et al. (2020) · Journal of Thoracic Oncology · doi:10.1016/j.jtho.2020.01.015 · Cited by 95
Berr, A. L., Wiese, K. M., dos Santos, G., Koch, C. M., Anekalla, K. R., Kidd, M. E., Davis, J. M., Cheng, Y., Hu, Y., & Ridge, K. M. (2023) · Oncogene · doi:10.1038/s41388-023-02703-9 · Cited by 101
Cistrome-GO: a web server for functional enrichment analysis of transcription factor ChIP-seq peaks
Li, S., Wan, C., Zheng, R., Fan, J., Dong, X., Meyer, C. A., & Liu, X. S. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz332 · Cited by 93
Combinatorial prediction of marker panels from single‐cell transcriptomic data
Delaney, C., Schnell, A., Cammarata, L. V., Yao-Smith, A., Regev, A., Kuchroo, V. K., & Singer, M. (2019) · Molecular Systems Biology · doi:10.15252/msb.20199005 · Cited by 87
Expression of CDK8 and CDK8-interacting Genes as Potential Biomarkers in Breast Cancer
Broude, E. V., Győrffy, B., Chumanevich, A. A., Chen, M., McDermott, M. S. J., Shtutman, M. S., Catroppo, J. F., & Roninson, I. B. (2015) · Current Cancer Drug Targets · doi:10.2174/156800961508151001105814 · Cited by 90
Tcf21 regulates the specification and maturation of proepicardial cells
Tandon, P., Miteva, Y., Kuchenbrod, L. M., Cristea, I. M., & Conlon, F. L. (2013) · Development · doi:10.1242/dev.093385 · Cited by 90
Growth of the Developing Cerebral Cortex Is Controlled by MicroRNA-7 through the p53 Pathway
Pollock, A., Bian, S., Zhang, C., Chen, Z., & Sun, T. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.04.003 · Cited by 88
Evidence-ranked motif identification
Georgiev, S., Boyle, A. P., Jayasurya, K., Ding, X. Z., Mukherjee, S., & Ohler, U. (2010) · Genome biology · doi:10.1186/gb-2010-11-2-r19 · Cited by 87
Keam, S. P., Sobala, A., ten Have, S., & Hutvágner, G. (2016) · Journal of Proteome Research · doi:10.1021/acs.jproteome.6b00267 · Cited by 87
Metadata
- Authors
- Eden, E., Lipson, D., Yogev, S., & Yakhini, Z.
- Affiliations
- Technion – Israel Institute of Technology (IL)
- Corresponding author
- Eden, Eran
- ORCID
- Lipson, Doron
- Venue
- PLoS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2007-03-23
- Volume
- 3
- Issue
- 3
- Pages
- e39
- ISSN
- 1553-734X (ISSN-L)
- 1553-7358
- PMC
- PMC1829477
- OpenAlex
- W1981093360
- Cited by
- 696
- References
- 65
- Citations by year
- 2026: 18 · 2025: 25 · 2024: 23 · 2023: 44 · 2022: 42 · 2021: 80 · 2020: 54 · 2019: 57 · 2018: 53 · 2017: 52 · 2016: 53 · 2015: 36 · 2014: 31 · 2013: 41 · 2012: 22
- FWCI
- 6.49
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS Computational Biology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- Hebrew University of Jerusalem
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- motif discovery, ranked lists, transcription factor binding sites, ChIP-chip, CpG methylation, motif enrichment, Polycomb complexes, histone methylation, CA repeats
- MeSH terms
- Algorithms, Base Sequence, Molecular Sequence Data, Regulatory Sequences, Nucleic Acid, Sequence Homology, Nucleic Acid, Software, Sequence Alignment, Conserved Sequence, Sequence Analysis, DNA, CpG Islands, DNA Methylation, Chromatin Immunoprecipitation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review