Exploring genetic interactions and networks with yeast

A haplotype map of the human genome

The International HapMap Consortium (2005) · Nature · doi:10.1038/nature04226 · Cited by 5,858

Functional organization of the yeast proteome by systematic analysis of protein complexes

Gavin, A., Böesche, M., Krause, R., Grandi, P., Marzioch, M., Bauer, A., Schultz, J., Rick, J. M., Michon, A., Cruciat, C., et al. (2002) · Nature · doi:10.1038/415141a · Cited by 4,729

A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae

Uetz, P., Giot, L., Cagney, G., Mansfield, T. A., Judson, R. S., Knight, J. R., Lockshon, D., Narayan, V., Srinivasan, M., Pochart, P., et al. (2000) · Nature · doi:10.1038/35001009 · Cited by 4,706

XV.—The Correlation between Relatives on the Supposition of Mendelian Inheritance.

Fisher, R. A. (1919) · Transactions of the Royal Society of Edinburgh · doi:10.1017/s0080456800012163 · Cited by 4,387

Functional profiling of the Saccharomyces cerevisiae genome

Giaever, G., Chu, A. M., Ni, L., Connelly, C., Riles, L., Véronneau, S., Dow, S., Lucau-Danila, A., Anderson, K., André, B., et al. (2002) · Nature · doi:10.1038/nature00935 · Cited by 4,316

Functional Characterization of the S. cerevisiae Genome by Gene Deletion and Parallel Analysis

Winzeler, E. A., Shoemaker, D. D., Astromoff, A., Liang, H., Anderson, K., Andre, B., Bangham, R., Benito, R., Boeke, J. D., Bussey, H., et al. (1999) · Science · doi:10.1126/science.285.5429.901 · Cited by 3,953

Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry

Ho, Y., Gruhler, A., Heilbut, A. M., Bader, G. D., Moore, L., Adams, S., Millar, A., Taylor, P. P., Bennett, K. L., Boutilier, K., et al. (2002) · Nature · doi:10.1038/415180a · Cited by 3,573

A comprehensive two-hybrid analysis to explore the yeast protein interactome

Ito, T., Chiba, T., Ozawa, R., Yoshida, M., Hattori, M., & Sakaki, Y. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.061034498 · Cited by 3,566

Global landscape of protein complexes in the yeast Saccharomyces cerevisiae

Krogan, N. J., Cagney, G., Yu, H., Zhong, G., Guo, X., Ignatchenko, A., Li, J., Pu, S., Datta, N., Tikuisis, A., et al. (2006) · Nature · doi:10.1038/nature04670 · Cited by 2,964

Proteome survey reveals modularity of the yeast cell machinery

Gavin, A., Aloy, P., Grandi, P., Krause, R., Böesche, M., Marzioch, M., Rau, C., Jensen, L. J., Bastuck, S., Dümpelfeld, B., et al. (2006) · Nature · doi:10.1038/nature04532 · Cited by 2,570

Time-Dependent Gene Network Modelling by Sequential Monte Carlo

Ancherbak, S., Kuruoğlu, E. E., & Vingron, M. (2015) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2015.2496301 · Cited by 14

Flux balance analysis with or without molecular crowding fails to predict two thirds of experimentally observed epistasis in yeast

Alzoubi, D., Desouki, A. A., & Lercher, M. J. (2019) · Scientific Reports · doi:10.1038/s41598-019-47935-6 · Cited by 15

Manipulation of host pathways by human cytomegalovirus: insights from genome-wide studies

Cohen, Y., & Stern‐Ginossar, N. (2014) · Seminars in Immunopathology · doi:10.1007/s00281-014-0443-7 · Cited by 14

Evolutionarily conserved genetic interactions with budding and fission yeast MutS identify orthologous relationships in mismatch repair-deficient cancer cells

Tosti, E., Katakowski, J. A., Schaetzlein, S., Kim, H. S., Ryan, C. J., Shales, M., Roguev, A., Krogan, N. J., Palliser, D., Keogh, M., et al. (2014) · Genome Medicine · doi:10.1186/preaccept-1168696978117141 · Cited by 14

Inferring Gene Function and Network Organization in Drosophila Signaling by Combined Analysis of Pleiotropy and Epistasis

Carter, G. W. (2013) · G3 Genes Genomes Genetics · doi:10.1534/g3.113.005710 · Cited by 14

Genetic interaction networks mediate individual statin drug response in Saccharomyces cerevisiae

Busby, B. P., Niktab, E., Roberts, C. A., Sheridan, J. P., Coorey, N., Senanayake, D., Connor, L. M., Munkacsi, A. B., & Atkinson, P. H. (2019) · npj Systems Biology and Applications · doi:10.1038/s41540-019-0112-5 · Cited by 15

Pleiotropic mutations can rapidly evolve to directly benefit self and cooperative partner despite unfavorable conditions

Hart, S. F. M., Chen, C., & Shou, W. (2021) · eLife · doi:10.7554/elife.57838 · Cited by 11

Mutations and Lethality in Simulated Prebiotic Networks

Inger, A., Solomon, A., Shenhav, B., Olender, T., & Lancet, D. (2009) · Journal of Molecular Evolution · doi:10.1007/s00239-009-9281-y · Cited by 14

Genetic interactions: the missing links for a better understanding of cancer susceptibility, progression and treatment

Maxwell, C. A., Moreno, V. R., Solé, X., Gómez, L., Hernández, P., Urruticoechea, A., & Pujana, M. Á. (2008) · Molecular Cancer · doi:10.1186/1476-4598-7-4 · Cited by 14

Genetic networks for the functional study of genomes

Pisabarro, A. G., Pérez, G., Lavín, J. L., & Ramı́rez, L. (2008) · Briefings in Functional Genomics and Proteomics · doi:10.1093/bfgp/eln026 · Cited by 14

Correction: Mutator Suppression and Escape from Replication Error–Induced Extinction in Yeast

Herr, A. J., Ogawa, M., Lawrence, N. A., Williams, L. N., Eggington, J. M., Singh, M., Smith, R. A., & Preston, B. D. (2011) · PLoS Genetics · doi:10.1371/annotation/db1d9553-4ebd-4015-a1cd-c483dbc0d7e5 · Cited by 14

Lysin (K)-specific demethylase 1 inhibition enhances proteasome inhibitor response and overcomes drug resistance in multiple myeloma

Bandini, C., Mereu, E., Paradžik, T., Labrador, M., Maccagno, M., Cumerlato, M., Oreglia, F., Prever, L., Manicardi, V., Taìana, E., et al. (2023) · Experimental Hematology and Oncology · doi:10.1186/s40164-023-00434-x · Cited by 13

On knowing a gene: A distributional hypothesis of gene function

Kwon, J. J., Pan, J., Gonzalez, G., Hahn, W. C., & Žitnik, M. (2024) · Cell Systems · doi:10.1016/j.cels.2024.04.008 · Cited by 14

Genetic variation of regulatory systems

Dimas, A. S., & Dermitzakis, E. T. (2009) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2009.10.012 · Cited by 14

Benchmarking of the 2010 BioCreative Challenge III text-mining competition by the BioGRID and MINT interaction databases

Chatr‐aryamontri, A., Winter, A. G., Perfetto, L., Briganti, L., Licata, L., Iannuccelli, M., Castagnoli, L., Cesareni, G., & Tyers, M. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-s8-s8 · Cited by 13

Hyphal Growth and Polarity

Harris, S. D. (2014) · ASM Press eBooks · doi:10.1128/9781555816636.ch18 · Cited by 13

Understanding the immunological impact of the human mutation explosion

Andrews, T. D., Sjollema, G., & Goodnow, C. C. (2013) · Trends in Immunology · doi:10.1016/j.it.2012.12.001 · Cited by 14

RNAi Methods and Screening: RNAi Based High-Throughput Genetic Interaction Screening

Cipriani, P. G., & Piano, F. (2011) · Methods in cell biology · doi:10.1016/b978-0-12-544172-8.00004-9 · Cited by 13

A molecular interpretation of genetic interactions in yeast

Stein, A., & Aloy, P. (2008) · FEBS Letters · doi:10.1016/j.febslet.2008.02.020 · Cited by 14

Probabilistic functional gene societies

Lee, I. (2011) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2011.01.003 · Cited by 12

The Mck1 GSK-3 kinase inhibits the activity of Clb2-Cdk1 post-nuclear division

McQueen, J., van Dyk, D., Young, B. P., Loewen, C., & Measday, V. (2012) · Cell Cycle · doi:10.4161/cc.21731 · Cited by 12

Improved detection of synthetic lethal interactions in Drosophila cells using variable dose analysis (VDA)

Housden, B. E., Li, Z., Kelley, C., Wang, Y.-L., Hu, Y., Valvezan, A. J., Manning, B. D., & Perrimon, N. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1713362114 · Cited by 13

Explorations in topology–delving underneath the surface of genetic interaction maps

Breker, M., & Schuldiner, M. (2009) · Molecular BioSystems · doi:10.1039/b907076c · Cited by 12

High-throughput Yeast Plasmid Overexpression Screen

Fleming, M. S., & Gitler, A. D. (2011) · Journal of Visualized Experiments · doi:10.3791/2836 · Cited by 12

A multilevel layout algorithm for visualizing physical and genetic interaction networks, with emphasis on their modular organization

Tuikkala, J., Vähämaa, H., Salmela, P., Nevalainen, O., & Aittokallio, T. A. (2012) · BioData Mining · doi:10.1186/1756-0381-5-2 · Cited by 12

Yeast Informs Alzheimer's Disease

McGurk, L., & Bonini, N. M. (2011) · Science · doi:10.1126/science.1216073 · Cited by 12

Environmental challenge rewires functional connections among human genesPreprint

Herken, B. W., Wong, G. T., Norman, T. M., & Gilbert, L. A. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.09.552346 · Cited by 12

Proposal for a new therapy for drug-resistant malaria using Plasmodium synthetic lethality inference

Lee, S. J., Seo, E., & Cho, Y. H. (2013) · International Journal for Parasitology Drugs and Drug Resistance · doi:10.1016/j.ijpddr.2013.06.001 · Cited by 11

Noise reduction in genome-wide perturbation screens using linear mixed-effect models

Yu, D., Danku, J., Baxter, I. R., Kim, S., Vatamaniuk, O. K., Salt, D. E., & Olga Vitek, A. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr359 · Cited by 11

Optimal stepwise experimental design for pairwise functional interaction studies

Casey, F., Cagney, G., Krogan, N. J., & Shields, D. C. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn472 · Cited by 11

The Fidgety Yeast: Focus on High-Resolution Live Yeast Cell Microscopy

Wolinski, H., Natter, K., & Kohlwein, S. D. (2009) · Methods in molecular biology · doi:10.1007/978-1-59745-540-4_5 · Cited by 11

Protein Production in Saccharomyces cerevisiae for Systems Biology Studies

Malys, N., Wishart, J. A., Oliver, S. G., & McCarthy, J. E. G. (2011) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/b978-0-12-385118-5.00011-6 · Cited by 11

Network-Assisted Prediction of Potential Drugs for Addiction

Sun, J., Huang, L., Xu, H., & Zhao, Z. (2014) · BioMed Research International · doi:10.1155/2014/258784 · Cited by 11

Understanding and predicting synthetic lethal genetic interactions in Saccharomyces cerevisiae using domain genetic interactions

Li, B., Cao, W., Zhou, J. Z., & Luo, F. (2011) · BMC Systems Biology · doi:10.1186/1752-0509-5-73 · Cited by 11

The Smc5/6 complex counteracts R-loop formation at highly transcribed genes in cooperation with RNase H2

Roy, S., Adhikary, H., Isler, S., & D’Amours, D. (2024) · eLife · doi:10.7554/elife.96626 · Cited by 10

Towards Systems Biology of Mycotoxin Regulation

Subramaniam, R., & Rampitsch, C. (2013) · Toxins · doi:10.3390/toxins5040675 · Cited by 10

The long-term effects of genomic selection: 2. Changes in allele frequencies of causal loci and new mutations

Wientjes, Y. C. J., Bijma, P., van den Heuvel, J., Zwaan, B. J., Vitezica, Z. G., & Calus, M. P. L. (2023) · Genetics · doi:10.1093/genetics/iyad141 · Cited by 11

Use of Genome-Scale Metabolic Models in Evolutionary Systems Biology

Papp, B., Szappanos, B., & Notebaart, R. A. (2011) · Methods in molecular biology · doi:10.1007/978-1-61779-173-4_27 · Cited by 12

Inferring Mechanisms of Compensation from E-MAP and SGA Data Using Local Search Algorithms for Max Cut

Leiserson, M. D. M., Tatar, D., Cowen, L., & Hescott, B. J. (2011) · Journal of Computational Biology · doi:10.1089/cmb.2011.0191 · Cited by 11

Predicting Quantitative Genetic Interactions by Means of Sequential Matrix Approximation

Järvinen, A. P., Hiissa, J., Elo, L. L., & Aittokallio, T. A. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003284 · Cited by 11

A double‐mutant collection targeting MAP kinase related genes in Arabidopsis for studying genetic interactions

Su, S., & Krysan, P. J. (2016) · The Plant Journal · doi:10.1111/tpj.13292 · Cited by 10

Bacterial Signaling Nucleotides Inhibit Yeast Cell Growth by Impacting Mitochondrial and Other Specifically Eukaryotic Functions

Hesketh, A. R., Vergnano, M., Wan, C., & Oliver, S. G. (2017) · mBio · doi:10.1128/mbio.01047-17 · Cited by 10

Synthetic Lethal Interactions Prediction Based on Multiple Similarity Measures Fusion

Wu, L., Wen, Y., Yang, X., Yan, B., He, S., & Bo, X. (2021) · Journal of Computer Science and Technology · doi:10.1007/s11390-021-0866-2 · Cited by 10

Interaction networks: Lessons from large‐scale studies in yeast

Cagney, G. (2009) · PROTEOMICS · doi:10.1002/pmic.200900177 · Cited by 10

Synthetic lethal hubs associated with vincristine resistant neuroblastoma

Fechete, R., Barth, S., Olender, T., Munteanu, A., Bernthaler, A., Inger, A., Perco, P., Lukas, A., Lancet, D., Cinatl, J. J., et al. (2010) · Molecular BioSystems · doi:10.1039/c0mb00082e · Cited by 10

Functional Genomics Using the Saccharomyces cerevisiae Yeast Deletion CollectionsPreprint

Nislow, C., Wong, L. H., Lee, A. H., & Giaever, G. N. (2016) · Cold Spring Harbor Protocols · doi:10.1101/pdb.top080945 · Cited by 10

Topological Characteristics of Molecular Networks

Milenković, T., & Pržulj, N. (2011) · Springer eBooks · doi:10.1007/978-1-4614-0320-3_2 · Cited by 9

A network approach to prioritizing susceptibility genes for genome‐wide association studies

Kafaie, S., Chen, Y., & Hu, T. (2019) · Genetic Epidemiology · doi:10.1002/gepi.22198 · Cited by 9

Yeast Sphingolipid Phospholipase Gene ISC1 Regulates the Spindle Checkpoint by a CDC55 -Dependent Mechanism

Matmati, N., Hassan, B. H., Ren, J., Shamssedine, A. A., Jeong, E., Shariff, B., Snider, J. M., Rødkær, S. V., Chen, G., Mohanty, B. K., et al. (2020) · Molecular and Cellular Biology · doi:10.1128/mcb.00340-19 · Cited by 8

Genetic basis of a spontaneous mutation’s expressivity

Schell, R., Hale, J. J., Mullis, M. N., Matsui, T., Foree, R., & Ehrenreich, I. M. (2022) · Genetics · doi:10.1093/genetics/iyac013 · Cited by 8

Automated data integration for developmental biological research

Zhong, W., & Sternberg, P. W. (2007) · Development · doi:10.1242/dev.001073 · Cited by 11

Growth of Novel Epistatic Interactions by Gene Duplication

Jiang, H., Xu, L., & Gu, Z. (2011) · Genome Biology and Evolution · doi:10.1093/gbe/evr016 · Cited by 9

A quantitative analysis of monochromaticity in genetic interaction networks

Hsu, C.-H., Wang, T., Chu, H., Kao, C., & Chen, K.-C. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-s13-s16 · Cited by 9

Construction and application of a protein and genetic interaction network (yeast interactome)

Stuart, G. R., Copeland, W. C., & Strand, M. K. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkp140 · Cited by 9

An Epistatic Interaction between the PAX8 and STK17B Genes in Papillary Thyroid Cancer Susceptibility

Landa, I., Boullosa, C., Inglada‐Pérez, L., Sastre-Perona, A., Pastor, S., Velázquez, A., Mančíková, V., Ruiz‐Llorente, S., Schiavi, F., Marcos, R., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074765 · Cited by 9

Inferring the Function of Genes from Synthetic Lethal Mutations

Ray, O., & Bryant, C. H. (2008) · ... International Conference on Complex, Intelligent and Software Intensive Systems · doi:10.1109/cisis.2008.124 · Cited by 9

Deletion of yeast TPK1 reduces the efficiency of non-homologous end joining DNA repair

Hooshyar, M., Jessulat, M., Burnside, D. J., Kluew, A., Babu, M., & Golshani, A. (2020) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2020.09.083 · Cited by 9

Cu/Zn superoxide dismutase and the proton ATPase Pma1p of Saccharomyces cerevisiae

Baron, J. A., Chen, J. S., & Culotta, V. (2015) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2015.04.127 · Cited by 9

DBP7 and YRF1-6 Are Involved in Cell Sensitivity to LiCl by Regulating the Translation of PGM2 mRNA

Jagadeesan, S. K., Al‐gafari, M., Wang, J., Takallou, S., Allard, D., Hajikarimlou, M., Kazmirchuk, T. D. D., Moteshareie, H., Said, K. B., Nokhbeh, R., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24021785 · Cited by 8

Identifiability and inference of pathway motifs by epistasis analysis

Phenix, H., Perkins, T. J., & Kærn, M. (2013) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.4807483 · Cited by 8

ScreenGarden: a shinyR application for fast and easy analysis of plate-based high-throughput screens

Klemm, C., Howell, R. S. M., & Thorpe, P. H. (2022) · BMC Bioinformatics · doi:10.1186/s12859-022-04586-1 · Cited by 8

Statistical method for comparing the level of intracellular organization between cells

Apte, Z. S., & Marshall, W. F. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1212277109 · Cited by 8

Advancement in Sustainable Agriculture: Computational and Bioinformatics Tools

Parray, J. A., Mir, M. Y., & Shameem, N. (2019) · Springer eBooks · doi:10.1007/978-981-13-8840-8_10 · Cited by 8

Biclustering of DNA Microarray Data

Tchagang, A., Pan, Y., Famili, F. A., Tewfik, A. H., & Benos, P. V. (2011) · IGI Global eBooks · doi:10.4018/978-1-60960-491-2.ch007 · Cited by 8

A Caenorhabditis elegans genetic-interaction map wiggles into view

Gunsalus, K. C. (2008) · Journal of Biology · doi:10.1186/jbiol70 · Cited by 8

Correction: Genes Confer Similar Robustness to Environmental, Stochastic, and Genetic Perturbations in Yeast

Lehner, B. (2010) · PLoS ONE · doi:10.1371/annotation/1f52efd2-4d54-428c-9e03-42f1b2b03af0 · Cited by 8

Mining high‐throughput screens for cancer drug targets—lessons from yeast chemical‐genomic profiling and synthetic lethality

Heiskanen, M. A., & Aittokallio, T. A. (2012) · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · doi:10.1002/widm.1055 · Cited by 7

Single‐cell profiling screen identifies microtubule‐dependent reduction of variability in signaling

Pesce, C. G., Zdraljevic, S., Peria, W. J., Bush, A., Repetto, M. V., Rockwell, D., Yu, R. C., Colman‐Lerner, A., & Brent, R. (2018) · Molecular Systems Biology · doi:10.15252/msb.20167390 · Cited by 5

Evaluating the genetic basiss of anti-cancer property of Taxol in Saccharomyces cerevisiae model

Veerabhadrappa, B., Subramanian, S., Sudharshan, S. J., & Dyavaiah, M. (2021) · FEMS Microbiology Letters · doi:10.1093/femsle/fnab077 · Cited by 7

Lithium chloride sensitivity connects the activity of PEX11 and RIM20 to the translation of PGM2 and other mRNAs with structured 5’-UTRs

Jagadeesan, S. K., Al‐gafari, M., Hajikarimlou, M., Takallou, S., Moteshareie, H., Tayabali, A. F., Samanfar, B., Smith, M. L., & Golshani, A. (2022) · Molecular and Cellular Biochemistry · doi:10.1007/s11010-022-04466-5 · Cited by 7

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Gagarinova, A. G., Babu, M., Greenblatt, J. F., & Emili, A. (2012) · Journal of Visualized Experiments · doi:10.3791/4056 · Cited by 7

Dynamic Modeling of Genes Controlling Cancer Stem Cell Proliferation

Wang, Z., Liu, J., Wang, J., Wang, Y., Wang, N., Li, Y., Li, R., & Wu, R. (2012) · Frontiers in Genetics · doi:10.3389/fgene.2012.00084 · Cited by 7

Modeling regulatory cascades using Artificial Neural Networks: the case of transcriptional regulatory networks shaped during the yeast stress response

Manioudaki, M., & Poirazi, P. (2013) · Frontiers in Genetics · doi:10.3389/fgene.2013.00110 · Cited by 7

A Developmental Systems Perspective on Epistasis: Computational Exploration of Mutational Interactions in Model Developmental Regulatory Networks

Gutiérrez, J. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006823 · Cited by 7

Variance in Epistasis Links Gene Regulation and Evolutionary Rate in the Yeast Genetic Interaction Network

Fierst, J. L., & Phillips, P. C. (2012) · Genome Biology and Evolution · doi:10.1093/gbe/evs083 · Cited by 7

Large-Scale Survey of Intraspecific Fitness and Cell Morphology Variation in a Protoploid Yeast Species

Jung, P. P., Sigwalt, A., Ohnuki, S., de Montigny, J., Ohya, Y., & Schacherer, J. (2016) · G3 Genes Genomes Genetics · doi:10.1534/g3.115.026682 · Cited by 7

Biclustering of DNA Microarray Data

Tchagang, A., Pan, Y., Famili, F. A., Tewfik, A. H., & Benos, P. V. (2013) · IGI Global eBooks · doi:10.4018/978-1-4666-3604-0.ch029 · Cited by 7

Viral protein engagement of GBF1 induces host cell vulnerability through synthetic lethality

Navare, A., Mast, F. D., Olivier, J. P., Bertomeu, T., Neal, M. L., Carpp, L. N., Kaushansky, A., Coulombe‐Huntington, J., Tyers, M., & Aitchison, J. D. (2022) · The Journal of Cell Biology · doi:10.1083/jcb.202011050 · Cited by 7

Using Yeast Genetics to Study Splicing Mechanisms

Hossain, M. A., & Johnson, T. (2014) · Methods in molecular biology · doi:10.1007/978-1-62703-980-2_21 · Cited by 7

A Multi-Species Functional Embedding Integrating Sequence and Network StructurePreprint

Fan, J., Cannistra, A. F., Fried, I., Lim, T., Schaffner, T., Crovella, M. E., Hescott, B., & Leiserson, M. D. M. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/229211 · Cited by 8

Evaluating Methods for Detrending Time Series Using Ordinal Patterns, with an Application to Air Transport Delays

Olivares, F., Marín-Rodríguez, F. J., Acharya, K., & Zanin, M. (2025) · Entropy · doi:10.3390/e27030230 · Cited by 6

HyperdCas12a-based multiplexed genetic regulation in Candida albicans

Gervais, N. C., Rogers, R. K. J., Robin, M., & Shapiro, R. S. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf1402 · Cited by 6

Large-scale mapping of environmental-genetic interactions illustrates the dynamic nature of cell-cycle and DNA repair regulation

Herken, B. W., Wong, G. T., Mäkiniemi, A., Lundberg, E. K., Norman, T. M., & Gilbert, L. A. (2026) · Molecular Cell · doi:10.1016/j.molcel.2026.01.025 · Cited by 8

Towards the construction of a virtual yeast

Qian, L., Zhou, Z., Zhou, P., Dong, Z., Zhang, X., Dai, Z., Gao, Z., Sun, S., Roy, K. R., Wang, S., et al. (2026) · Nature · doi:10.1038/s41586-026-10574-9 · Cited by 11

Comprehensive synergy mapping links a BAF- and NSL-containing “supercomplex” to the transcriptional silencing of HIV-1

Li, Z., Deeks, S. G., Ott, M., & Greene, W. C. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.113055 · Cited by 6

Systems-Based Approach to the Analyses of Plant Functions: Conceptual Understanding, Implementation, and Analysis

Yadav, B. S., Singh, A. K., & Kushwaha, S. K. (2017) · Springer eBooks · doi:10.1007/978-3-319-67156-7_2 · Cited by 6

Navigating yeast genome maintenance with functional genomics

Measday, V., & Stirling, P. C. (2015) · Briefings in Functional Genomics · doi:10.1093/bfgp/elv033 · Cited by 5

Actin Dosage Lethality Screening in Yeast Mediated by Selective Ploidy Ablation Reveals Links to Urmylation/Wobble Codon Recognition and Chromosome Stability

Haarer, B. K., Mi‐Mi, L., Cho, J. S., Cortese, M. J., Viggiano, S. C., Burke, D. J., & Amberg, D. C. (2013) · G3 Genes Genomes Genetics · doi:10.1534/g3.113.005579 · Cited by 6

Imputing missing values for genetic interaction data

Wang, Y., Wang, L., Yang, D., & Deng, M. (2014) · Methods · doi:10.1016/j.ymeth.2014.03.032 · Cited by 6

High-Throughput Analyses and Curation of Protein Interactions in Yeast

Wodak, S. J., Vlasblom, J., & Pu, S. (2011) · Methods in molecular biology · doi:10.1007/978-1-61779-173-4_22 · Cited by 6

Chemical Genetic and Chemogenomic Analysis in Yeast

Coorey, N., Sampson, L. D. P., Barber, J. M., & Bellows, D. S. (2014) · Methods in molecular biology · doi:10.1007/978-1-4939-1363-3_11 · Cited by 6

Detection of quantitative trait loci for wheat (Triticum aestivumL.) heading and flowering date

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