List of Faculty Publications

Below is a list of Faculty publications imported from PubMed or manually added. By default, publications are sorted by year with titles displayed in ascending alphabetical order.
Shortcuts: Wühr, Martin | Wingreen, Ned | Wieschaus, Eric | Troyanskaya, Olga | Tilghman, Shirley | Storey, John | Singh, Mona | Shvartsman, Stanislav | Shaevitz, Joshua | Rabinowitz, Joshua | Murphy, Coleen | Levine, Michael {Levine, Michael S.} | Gregor, Thomas | Botstein, David | Bialek, William | Ayroles, Julien | Andolfatto, Peter | Akey, Joshua

Filters: Author is Singh, Mona  [Clear All Filters]
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Humans
D. Munro, Ghersi, D., and Singh, M., “Two critical positions in zinc finger domains are heavily mutated in three human cancer types.”, PLoS Comput Biol, vol. 14, no. 6, p. e1006290, 2018.
P. Jiang, Singh, M., and Coller, H. A., “Computational assessment of the cooperativity between RNA binding proteins and MicroRNAs in Transcript Decay.”, PLoS Comput Biol, vol. 9, no. 5, p. e1003075, 2013.
Z. Khan, Bloom, J. S., Garcia, B. A., Singh, M., and Kruglyak, L., “Protein quantification across hundreds of experimental conditions.”, Proc Natl Acad Sci U S A, vol. 106, no. 37, pp. 15544-8, 2009.
D. Ghersi and Singh, M., “Disentangling function from topology to infer the network properties of disease genes.”, BMC Syst Biol, vol. 7, p. 5, 2013.
D. Ghersi and Singh, M., “Interaction-based discovery of functionally important genes in cancers.”, Nucleic Acids Res, vol. 42, no. 3, p. e18, 2014.
Intracellular Signaling Peptides and Proteins
E. Banks, Nabieva, E., Chazelle, B., and Singh, M., “Organization of physical interactomes as uncovered by network schemas.”, PLoS Comput Biol, vol. 4, no. 10, p. e1000203, 2008.
Isotope Labeling
Z. Khan, Amini, S., Bloom, J. S., Ruse, C., Caudy, A. A., Kruglyak, L., Singh, M., Perlman, D. H., and Tavazoie, S., “Accurate proteome-wide protein quantification from high-resolution 15N mass spectra.”, Genome Biol, vol. 12, no. 12, p. R122, 2011.
Isotopes
Z. Khan, Bloom, J. S., Garcia, B. A., Singh, M., and Kruglyak, L., “Protein quantification across hundreds of experimental conditions.”, Proc Natl Acad Sci U S A, vol. 106, no. 37, pp. 15544-8, 2009.
Kinetochores
J. Song and Singh, M., “From hub proteins to hub modules: the relationship between essentiality and centrality in the yeast interactome at different scales of organization.”, PLoS Comput Biol, vol. 9, no. 2, p. e1002910, 2013.
Ligands
S. Nadimpalli Kobren and Singh, M., “Systematic domain-based aggregation of protein structures highlights DNA-, RNA- and other ligand-binding positions.”, Nucleic Acids Res, vol. 47, no. 2, pp. 582-593, 2019.
D. Ghersi and Singh, M., “molBLOCKS: decomposing small molecule sets and uncovering enriched fragments.”, Bioinformatics, vol. 30, no. 14, pp. 2081-3, 2014.
Male
P. F. Przytycki and Singh, M., “Differential analysis between somatic mutation and germline variation profiles reveals cancer-related genes.”, Genome Med, vol. 9, no. 1, p. 79, 2017.
D. Munro, Ghersi, D., and Singh, M., “Two critical positions in zinc finger domains are heavily mutated in three human cancer types.”, PLoS Comput Biol, vol. 14, no. 6, p. e1006290, 2018.
Markov Chains
J. A. Capra, Paeschke, K., Singh, M., and Zakian, V. A., “G-quadruplex DNA sequences are evolutionarily conserved and associated with distinct genomic features in Saccharomyces cerevisiae.”, PLoS Comput Biol, vol. 6, no. 7, p. e1000861, 2010.
Mass Spectrometry
Z. Khan, Amini, S., Bloom, J. S., Ruse, C., Caudy, A. A., Kruglyak, L., Singh, M., Perlman, D. H., and Tavazoie, S., “Accurate proteome-wide protein quantification from high-resolution 15N mass spectra.”, Genome Biol, vol. 12, no. 12, p. R122, 2011.
Z. Khan, Bloom, J. S., Amini, S., Singh, M., Perlman, D. H., Caudy, A. A., and Kruglyak, L., “Quantitative measurement of allele-specific protein expression in a diploid yeast hybrid by LC-MS.”, Mol Syst Biol, vol. 8, p. 602, 2012.
Metabolic Networks and Pathways
P. Jiang and Singh, M., “SPICi: a fast clustering algorithm for large biological networks.”, Bioinformatics, vol. 26, no. 8, pp. 1105-11, 2010.
Mice
P. Jiang, Singh, M., and Coller, H. A., “Computational assessment of the cooperativity between RNA binding proteins and MicroRNAs in Transcript Decay.”, PLoS Comput Biol, vol. 9, no. 5, p. e1003075, 2013.
Z. Khan, Bloom, J. S., Garcia, B. A., Singh, M., and Kruglyak, L., “Protein quantification across hundreds of experimental conditions.”, Proc Natl Acad Sci U S A, vol. 106, no. 37, pp. 15544-8, 2009.
MicroRNAs
P. Jiang, Singh, M., and Coller, H. A., “Computational assessment of the cooperativity between RNA binding proteins and MicroRNAs in Transcript Decay.”, PLoS Comput Biol, vol. 9, no. 5, p. e1003075, 2013.
Models, Biological
E. Banks, Nabieva, E., Chazelle, B., and Singh, M., “Organization of physical interactomes as uncovered by network schemas.”, PLoS Comput Biol, vol. 4, no. 10, p. e1000203, 2008.
A. V. Persikov and Singh, M., “An expanded binding model for Cys2His2 zinc finger protein-DNA interfaces.”, Phys Biol, vol. 8, no. 3, p. 035010, 2011.
A. V. Persikov, Osada, R., and Singh, M., “Predicting DNA recognition by Cys2His2 zinc finger proteins.”, Bioinformatics, vol. 25, no. 1, pp. 22-9, 2009.
Models, Chemical
C. L. Kingsford, Chazelle, B., and Singh, M., “Solving and analyzing side-chain positioning problems using linear and integer programming.”, Bioinformatics, vol. 21, no. 7, pp. 1028-36, 2005.
Models, Genetic
K. Jim, Parmar, K., Singh, M., and Tavazoie, S., “A cross-genomic approach for systematic mapping of phenotypic traits to genes.”, Genome Res, vol. 14, no. 1, pp. 109-15, 2004.
D. J. Brooks, Fresco, J. R., Lesk, A. M., and Singh, M., “Evolution of amino acid frequencies in proteins over deep time: inferred order of introduction of amino acids into the genetic code.”, Mol Biol Evol, vol. 19, no. 10, pp. 1645-55, 2002.
P. Jiang, Singh, M., and Coller, H. A., “Computational assessment of the cooperativity between RNA binding proteins and MicroRNAs in Transcript Decay.”, PLoS Comput Biol, vol. 9, no. 5, p. e1003075, 2013.
J. A. Capra, Paeschke, K., Singh, M., and Zakian, V. A., “G-quadruplex DNA sequences are evolutionarily conserved and associated with distinct genomic features in Saccharomyces cerevisiae.”, PLoS Comput Biol, vol. 6, no. 7, p. e1000861, 2010.
Models, Molecular
S. Nadimpalli Kobren and Singh, M., “Systematic domain-based aggregation of protein structures highlights DNA-, RNA- and other ligand-binding positions.”, Nucleic Acids Res, vol. 47, no. 2, pp. 582-593, 2019.
J. H. Fong, Keating, A. E., and Singh, M., “Predicting specificity in bZIP coiled-coil protein interactions.”, Genome Biol, vol. 5, no. 2, p. R11, 2004.
A. V. Persikov and Singh, M., “An expanded binding model for Cys2His2 zinc finger protein-DNA interfaces.”, Phys Biol, vol. 8, no. 3, p. 035010, 2011.
J. A. Capra, Laskowski, R. A., Thornton, J. M., Singh, M., and Funkhouser, T. A., “Predicting protein ligand binding sites by combining evolutionary sequence conservation and 3D structure.”, PLoS Comput Biol, vol. 5, no. 12, p. e1000585, 2009.
Models, Statistical
E. Nabieva, Jim, K., Agarwal, A., Chazelle, B., and Singh, M., “Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps.”, Bioinformatics, vol. 21 Suppl 1, pp. i302-10, 2005.
Models, Theoretical
E. Nabieva, Jim, K., Agarwal, A., Chazelle, B., and Singh, M., “Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps.”, Bioinformatics, vol. 21 Suppl 1, pp. i302-10, 2005.
Molecular Sequence Annotation
A. Ochoa, Llinás, M., and Singh, M., “Using context to improve protein domain identification.”, BMC Bioinformatics, vol. 12, p. 90, 2011.
D. Ghersi and Singh, M., “Disentangling function from topology to infer the network properties of disease genes.”, BMC Syst Biol, vol. 7, p. 5, 2013.
Molecular Sequence Data
J. A. Capra and Singh, M., “Predicting functionally important residues from sequence conservation.”, Bioinformatics, vol. 23, no. 15, pp. 1875-82, 2007.
J. A. Capra and Singh, M., “Characterization and prediction of residues determining protein functional specificity.”, Bioinformatics, vol. 24, no. 13, pp. 1473-80, 2008.
C. L. Kingsford, Chazelle, B., and Singh, M., “Solving and analyzing side-chain positioning problems using linear and integer programming.”, Bioinformatics, vol. 21, no. 7, pp. 1028-36, 2005.
J. A. Capra, Paeschke, K., Singh, M., and Zakian, V. A., “G-quadruplex DNA sequences are evolutionarily conserved and associated with distinct genomic features in Saccharomyces cerevisiae.”, PLoS Comput Biol, vol. 6, no. 7, p. e1000861, 2010.
Z. Khan, Amini, S., Bloom, J. S., Ruse, C., Caudy, A. A., Kruglyak, L., Singh, M., Perlman, D. H., and Tavazoie, S., “Accurate proteome-wide protein quantification from high-resolution 15N mass spectra.”, Genome Biol, vol. 12, no. 12, p. R122, 2011.
Mutagenesis
A. V. Persikov, Rowland, E. F., Oakes, B. L., Singh, M., and Noyes, M. B., “Deep sequencing of large library selections allows computational discovery of diverse sets of zinc fingers that bind common targets.”, Nucleic Acids Res, vol. 42, no. 3, pp. 1497-508, 2014.
Mutation
S. Nadimpalli Kobren and Singh, M., “Systematic domain-based aggregation of protein structures highlights DNA-, RNA- and other ligand-binding positions.”, Nucleic Acids Res, vol. 47, no. 2, pp. 582-593, 2019.
P. F. Przytycki and Singh, M., “Differential analysis between somatic mutation and germline variation profiles reveals cancer-related genes.”, Genome Med, vol. 9, no. 1, p. 79, 2017.
Y. Pritykin, Brito, T., Schüpbach, T., Singh, M., and Pane, A., “Integrative analysis unveils new functions for the Drosophila Cutoff protein in noncoding RNA biogenesis and gene regulation.”, RNA, vol. 23, no. 7, pp. 1097-1109, 2017.
A. Pane, Jiang, P., Zhao, D. Yanling, Singh, M., and Schüpbach, T., “The Cutoff protein regulates piRNA cluster expression and piRNA production in the Drosophila germline.”, EMBO J, vol. 30, no. 22, pp. 4601-15, 2011.
Mutation, Missense
D. Ghersi and Singh, M., “Interaction-based discovery of functionally important genes in cancers.”, Nucleic Acids Res, vol. 42, no. 3, p. e18, 2014.
Neoplasms
D. Ghersi and Singh, M., “Interaction-based discovery of functionally important genes in cancers.”, Nucleic Acids Res, vol. 42, no. 3, p. e18, 2014.
P. F. Przytycki and Singh, M., “Differential analysis between somatic mutation and germline variation profiles reveals cancer-related genes.”, Genome Med, vol. 9, no. 1, p. 79, 2017.
D. Munro, Ghersi, D., and Singh, M., “Two critical positions in zinc finger domains are heavily mutated in three human cancer types.”, PLoS Comput Biol, vol. 14, no. 6, p. e1006290, 2018.
Neural Networks (Computer)
E. Banks, Nabieva, E., Chazelle, B., and Singh, M., “Organization of physical interactomes as uncovered by network schemas.”, PLoS Comput Biol, vol. 4, no. 10, p. e1000203, 2008.
Nitrogen Isotopes
Z. Khan, Amini, S., Bloom, J. S., Ruse, C., Caudy, A. A., Kruglyak, L., Singh, M., Perlman, D. H., and Tavazoie, S., “Accurate proteome-wide protein quantification from high-resolution 15N mass spectra.”, Genome Biol, vol. 12, no. 12, p. R122, 2011.
Nuclear Proteins
A. Pane, Jiang, P., Zhao, D. Yanling, Singh, M., and Schüpbach, T., “The Cutoff protein regulates piRNA cluster expression and piRNA production in the Drosophila germline.”, EMBO J, vol. 30, no. 22, pp. 4601-15, 2011.
Nucleic Acid Conformation
D. Ghersi and Singh, M., “Disentangling function from topology to infer the network properties of disease genes.”, BMC Syst Biol, vol. 7, p. 5, 2013.
J. A. Capra, Paeschke, K., Singh, M., and Zakian, V. A., “G-quadruplex DNA sequences are evolutionarily conserved and associated with distinct genomic features in Saccharomyces cerevisiae.”, PLoS Comput Biol, vol. 6, no. 7, p. e1000861, 2010.
Numerical Analysis, Computer-Assisted
C. L. Kingsford, Chazelle, B., and Singh, M., “Solving and analyzing side-chain positioning problems using linear and integer programming.”, Bioinformatics, vol. 21, no. 7, pp. 1028-36, 2005.
Oligonucleotide Array Sequence Analysis
A. V. Persikov, Osada, R., and Singh, M., “Predicting DNA recognition by Cys2His2 zinc finger proteins.”, Bioinformatics, vol. 25, no. 1, pp. 22-9, 2009.
J. S. Bloom, Khan, Z., Kruglyak, L., Singh, M., and Caudy, A. A., “Measuring differential gene expression by short read sequencing: quantitative comparison to 2-channel gene expression microarrays.”, BMC Genomics, vol. 10, p. 221, 2009.
Ovary
Y. Pritykin, Brito, T., Schüpbach, T., Singh, M., and Pane, A., “Integrative analysis unveils new functions for the Drosophila Cutoff protein in noncoding RNA biogenesis and gene regulation.”, RNA, vol. 23, no. 7, pp. 1097-1109, 2017.
Pattern Recognition, Automated
E. Banks, Nabieva, E., Chazelle, B., and Singh, M., “Organization of physical interactomes as uncovered by network schemas.”, PLoS Comput Biol, vol. 4, no. 10, p. e1000203, 2008.
J. A. Capra and Singh, M., “Characterization and prediction of residues determining protein functional specificity.”, Bioinformatics, vol. 24, no. 13, pp. 1473-80, 2008.
Phenotype
K. Jim, Parmar, K., Singh, M., and Tavazoie, S., “A cross-genomic approach for systematic mapping of phenotypic traits to genes.”, Genome Res, vol. 14, no. 1, pp. 109-15, 2004.
Phylogeny
J. A. Capra, Paeschke, K., Singh, M., and Zakian, V. A., “G-quadruplex DNA sequences are evolutionarily conserved and associated with distinct genomic features in Saccharomyces cerevisiae.”, PLoS Comput Biol, vol. 6, no. 7, p. e1000861, 2010.
Plasmodium falciparum
A. Ochoa, Llinás, M., and Singh, M., “Using context to improve protein domain identification.”, BMC Bioinformatics, vol. 12, p. 90, 2011.
Polymerase Chain Reaction
A. V. Persikov, Rowland, E. F., Oakes, B. L., Singh, M., and Noyes, M. B., “Deep sequencing of large library selections allows computational discovery of diverse sets of zinc fingers that bind common targets.”, Nucleic Acids Res, vol. 42, no. 3, pp. 1497-508, 2014.
Polymorphism, Genetic
D. Ghersi and Singh, M., “Interaction-based discovery of functionally important genes in cancers.”, Nucleic Acids Res, vol. 42, no. 3, p. e18, 2014.
P. F. Przytycki and Singh, M., “Differential analysis between somatic mutation and germline variation profiles reveals cancer-related genes.”, Genome Med, vol. 9, no. 1, p. 79, 2017.
Position-Specific Scoring Matrices
A. V. Persikov and Singh, M., “De novo prediction of DNA-binding specificities for Cys2His2 zinc finger proteins.”, Nucleic Acids Res, vol. 42, no. 1, pp. 97-108, 2014.
Probability
D. J. Brooks, Fresco, J. R., Lesk, A. M., and Singh, M., “Evolution of amino acid frequencies in proteins over deep time: inferred order of introduction of amino acids into the genetic code.”, Mol Biol Evol, vol. 19, no. 10, pp. 1645-55, 2002.
Programming, Linear
C. L. Kingsford, Chazelle, B., and Singh, M., “Solving and analyzing side-chain positioning problems using linear and integer programming.”, Bioinformatics, vol. 21, no. 7, pp. 1028-36, 2005.
Protein Binding
J. L. Wetzel and Singh, M., “Sharing DNA-binding information across structurally similar proteins enables accurate specificity determination.”, Nucleic Acids Res, vol. 48, no. 2, p. e9, 2020.
R. Osada, Zaslavsky, E., and Singh, M., “Comparative analysis of methods for representing and searching for transcription factor binding sites.”, Bioinformatics, vol. 20, no. 18, pp. 3516-25, 2004.
S. Nadimpalli Kobren and Singh, M., “Systematic domain-based aggregation of protein structures highlights DNA-, RNA- and other ligand-binding positions.”, Nucleic Acids Res, vol. 47, no. 2, pp. 582-593, 2019.
J. H. Fong, Keating, A. E., and Singh, M., “Predicting specificity in bZIP coiled-coil protein interactions.”, Genome Biol, vol. 5, no. 2, p. R11, 2004.
J. A. Capra, Laskowski, R. A., Thornton, J. M., Singh, M., and Funkhouser, T. A., “Predicting protein ligand binding sites by combining evolutionary sequence conservation and 3D structure.”, PLoS Comput Biol, vol. 5, no. 12, p. e1000585, 2009.
Protein Conformation
J. A. Capra, Laskowski, R. A., Thornton, J. M., Singh, M., and Funkhouser, T. A., “Predicting protein ligand binding sites by combining evolutionary sequence conservation and 3D structure.”, PLoS Comput Biol, vol. 5, no. 12, p. e1000585, 2009.
Protein Domains
S. Nadimpalli Kobren and Singh, M., “Systematic domain-based aggregation of protein structures highlights DNA-, RNA- and other ligand-binding positions.”, Nucleic Acids Res, vol. 47, no. 2, pp. 582-593, 2019.
Protein Folding
C. L. Kingsford, Chazelle, B., and Singh, M., “Solving and analyzing side-chain positioning problems using linear and integer programming.”, Bioinformatics, vol. 21, no. 7, pp. 1028-36, 2005.
Protein Interaction Domains and Motifs
E. Banks, Nabieva, E., Chazelle, B., and Singh, M., “Organization of physical interactomes as uncovered by network schemas.”, PLoS Comput Biol, vol. 4, no. 10, p. e1000203, 2008.
Protein Interaction Mapping
E. Nabieva, Jim, K., Agarwal, A., Chazelle, B., and Singh, M., “Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps.”, Bioinformatics, vol. 21 Suppl 1, pp. i302-10, 2005.
D. Ghersi and Singh, M., “Disentangling function from topology to infer the network properties of disease genes.”, BMC Syst Biol, vol. 7, p. 5, 2013.
E. Banks, Nabieva, E., Chazelle, B., and Singh, M., “Organization of physical interactomes as uncovered by network schemas.”, PLoS Comput Biol, vol. 4, no. 10, p. e1000203, 2008.
J. Song and Singh, M., “From hub proteins to hub modules: the relationship between essentiality and centrality in the yeast interactome at different scales of organization.”, PLoS Comput Biol, vol. 9, no. 2, p. e1002910, 2013.
Y. Pritykin and Singh, M., “Simple topological features reflect dynamics and modularity in protein interaction networks.”, PLoS Comput Biol, vol. 9, no. 10, p. e1003243, 2013.
E. Banks, Nabieva, E., Peterson, R., and Singh, M., “NetGrep: fast network schema searches in interactomes.”, Genome Biol, vol. 9, no. 9, p. R138, 2008.
J. Song and Singh, M., “How and when should interactome-derived clusters be used to predict functional modules and protein function?”, Bioinformatics, vol. 25, no. 23, pp. 3143-50, 2009.
Protein Interaction Maps
J. Song and Singh, M., “From hub proteins to hub modules: the relationship between essentiality and centrality in the yeast interactome at different scales of organization.”, PLoS Comput Biol, vol. 9, no. 2, p. e1002910, 2013.
Y. Pritykin and Singh, M., “Simple topological features reflect dynamics and modularity in protein interaction networks.”, PLoS Comput Biol, vol. 9, no. 10, p. e1003243, 2013.
Protein Structure, Secondary
C. L. Kingsford, Chazelle, B., and Singh, M., “Solving and analyzing side-chain positioning problems using linear and integer programming.”, Bioinformatics, vol. 21, no. 7, pp. 1028-36, 2005.
J. H. Fong, Keating, A. E., and Singh, M., “Predicting specificity in bZIP coiled-coil protein interactions.”, Genome Biol, vol. 5, no. 2, p. R11, 2004.
Protein Structure, Tertiary
A. Ochoa, Llinás, M., and Singh, M., “Using context to improve protein domain identification.”, BMC Bioinformatics, vol. 12, p. 90, 2011.
Proteins
D. Ghersi and Singh, M., “Interaction-based discovery of functionally important genes in cancers.”, Nucleic Acids Res, vol. 42, no. 3, p. e18, 2014.
J. A. Capra and Singh, M., “Predicting functionally important residues from sequence conservation.”, Bioinformatics, vol. 23, no. 15, pp. 1875-82, 2007.
A. Ochoa, Llinás, M., and Singh, M., “Using context to improve protein domain identification.”, BMC Bioinformatics, vol. 12, p. 90, 2011.
Y. Pritykin and Singh, M., “Simple topological features reflect dynamics and modularity in protein interaction networks.”, PLoS Comput Biol, vol. 9, no. 10, p. e1003243, 2013.
J. A. Capra and Singh, M., “Characterization and prediction of residues determining protein functional specificity.”, Bioinformatics, vol. 24, no. 13, pp. 1473-80, 2008.
P. Jiang and Singh, M., “SPICi: a fast clustering algorithm for large biological networks.”, Bioinformatics, vol. 26, no. 8, pp. 1105-11, 2010.
J. Song and Singh, M., “How and when should interactome-derived clusters be used to predict functional modules and protein function?”, Bioinformatics, vol. 25, no. 23, pp. 3143-50, 2009.
D. Ghersi and Singh, M., “molBLOCKS: decomposing small molecule sets and uncovering enriched fragments.”, Bioinformatics, vol. 30, no. 14, pp. 2081-3, 2014.
D. J. Brooks, Fresco, J. R., Lesk, A. M., and Singh, M., “Evolution of amino acid frequencies in proteins over deep time: inferred order of introduction of amino acids into the genetic code.”, Mol Biol Evol, vol. 19, no. 10, pp. 1645-55, 2002.
C. L. Kingsford, Chazelle, B., and Singh, M., “Solving and analyzing side-chain positioning problems using linear and integer programming.”, Bioinformatics, vol. 21, no. 7, pp. 1028-36, 2005.
J. A. Capra, Laskowski, R. A., Thornton, J. M., Singh, M., and Funkhouser, T. A., “Predicting protein ligand binding sites by combining evolutionary sequence conservation and 3D structure.”, PLoS Comput Biol, vol. 5, no. 12, p. e1000585, 2009.
E. Nabieva, Jim, K., Agarwal, A., Chazelle, B., and Singh, M., “Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps.”, Bioinformatics, vol. 21 Suppl 1, pp. i302-10, 2005.
Z. Khan, Bloom, J. S., Garcia, B. A., Singh, M., and Kruglyak, L., “Protein quantification across hundreds of experimental conditions.”, Proc Natl Acad Sci U S A, vol. 106, no. 37, pp. 15544-8, 2009.
Proteome
Z. Khan, Amini, S., Bloom, J. S., Ruse, C., Caudy, A. A., Kruglyak, L., Singh, M., Perlman, D. H., and Tavazoie, S., “Accurate proteome-wide protein quantification from high-resolution 15N mass spectra.”, Genome Biol, vol. 12, no. 12, p. R122, 2011.
J. Song and Singh, M., “How and when should interactome-derived clusters be used to predict functional modules and protein function?”, Bioinformatics, vol. 25, no. 23, pp. 3143-50, 2009.
Proteomics
Z. Khan, Bloom, J. S., Garcia, B. A., Singh, M., and Kruglyak, L., “Protein quantification across hundreds of experimental conditions.”, Proc Natl Acad Sci U S A, vol. 106, no. 37, pp. 15544-8, 2009.
E. Nabieva, Jim, K., Agarwal, A., Chazelle, B., and Singh, M., “Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps.”, Bioinformatics, vol. 21 Suppl 1, pp. i302-10, 2005.
E. Banks, Nabieva, E., Chazelle, B., and Singh, M., “Organization of physical interactomes as uncovered by network schemas.”, PLoS Comput Biol, vol. 4, no. 10, p. e1000203, 2008.
Z. Khan, Bloom, J. S., Amini, S., Singh, M., Perlman, D. H., Caudy, A. A., and Kruglyak, L., “Quantitative measurement of allele-specific protein expression in a diploid yeast hybrid by LC-MS.”, Mol Syst Biol, vol. 8, p. 602, 2012.
Z. Khan, Amini, S., Bloom, J. S., Ruse, C., Caudy, A. A., Kruglyak, L., Singh, M., Perlman, D. H., and Tavazoie, S., “Accurate proteome-wide protein quantification from high-resolution 15N mass spectra.”, Genome Biol, vol. 12, no. 12, p. R122, 2011.
Proto-Oncogene Proteins c-akt
D. Ghersi and Singh, M., “Interaction-based discovery of functionally important genes in cancers.”, Nucleic Acids Res, vol. 42, no. 3, p. e18, 2014.
Pseudomonas aeruginosa
K. Jim, Parmar, K., Singh, M., and Tavazoie, S., “A cross-genomic approach for systematic mapping of phenotypic traits to genes.”, Genome Res, vol. 14, no. 1, pp. 109-15, 2004.
Regression Analysis
Z. Khan, Bloom, J. S., Amini, S., Singh, M., Perlman, D. H., Caudy, A. A., and Kruglyak, L., “Quantitative measurement of allele-specific protein expression in a diploid yeast hybrid by LC-MS.”, Mol Syst Biol, vol. 8, p. 602, 2012.
Regulatory Elements, Transcriptional
P. Jiang and Singh, M., “CCAT: Combinatorial Code Analysis Tool for transcriptional regulation.”, Nucleic Acids Res, vol. 42, no. 5, pp. 2833-47, 2014.
Repressor Proteins
D. Munro, Ghersi, D., and Singh, M., “Two critical positions in zinc finger domains are heavily mutated in three human cancer types.”, PLoS Comput Biol, vol. 14, no. 6, p. e1006290, 2018.
Reproducibility of Results
J. H. Fong, Keating, A. E., and Singh, M., “Predicting specificity in bZIP coiled-coil protein interactions.”, Genome Biol, vol. 5, no. 2, p. R11, 2004.
A. V. Persikov, Osada, R., and Singh, M., “Predicting DNA recognition by Cys2His2 zinc finger proteins.”, Bioinformatics, vol. 25, no. 1, pp. 22-9, 2009.
Respiratory System
K. Jim, Parmar, K., Singh, M., and Tavazoie, S., “A cross-genomic approach for systematic mapping of phenotypic traits to genes.”, Genome Res, vol. 14, no. 1, pp. 109-15, 2004.
Ribonuclease III
D. Ghersi and Singh, M., “Interaction-based discovery of functionally important genes in cancers.”, Nucleic Acids Res, vol. 42, no. 3, p. e18, 2014.
RNA
S. Nadimpalli Kobren and Singh, M., “Systematic domain-based aggregation of protein structures highlights DNA-, RNA- and other ligand-binding positions.”, Nucleic Acids Res, vol. 47, no. 2, pp. 582-593, 2019.
RNA Stability
P. Jiang, Singh, M., and Coller, H. A., “Computational assessment of the cooperativity between RNA binding proteins and MicroRNAs in Transcript Decay.”, PLoS Comput Biol, vol. 9, no. 5, p. e1003075, 2013.
RNA, Small Interfering
A. Pane, Jiang, P., Zhao, D. Yanling, Singh, M., and Schüpbach, T., “The Cutoff protein regulates piRNA cluster expression and piRNA production in the Drosophila germline.”, EMBO J, vol. 30, no. 22, pp. 4601-15, 2011.
Y. Pritykin, Brito, T., Schüpbach, T., Singh, M., and Pane, A., “Integrative analysis unveils new functions for the Drosophila Cutoff protein in noncoding RNA biogenesis and gene regulation.”, RNA, vol. 23, no. 7, pp. 1097-1109, 2017.
RNA, Untranslated
Y. Pritykin, Brito, T., Schüpbach, T., Singh, M., and Pane, A., “Integrative analysis unveils new functions for the Drosophila Cutoff protein in noncoding RNA biogenesis and gene regulation.”, RNA, vol. 23, no. 7, pp. 1097-1109, 2017.
RNA-Binding Proteins
S. Nadimpalli Kobren and Singh, M., “Systematic domain-based aggregation of protein structures highlights DNA-, RNA- and other ligand-binding positions.”, Nucleic Acids Res, vol. 47, no. 2, pp. 582-593, 2019.
P. Jiang, Singh, M., and Coller, H. A., “Computational assessment of the cooperativity between RNA binding proteins and MicroRNAs in Transcript Decay.”, PLoS Comput Biol, vol. 9, no. 5, p. e1003075, 2013.
Y. Pritykin, Brito, T., Schüpbach, T., Singh, M., and Pane, A., “Integrative analysis unveils new functions for the Drosophila Cutoff protein in noncoding RNA biogenesis and gene regulation.”, RNA, vol. 23, no. 7, pp. 1097-1109, 2017.
Saccharomyces
Z. Khan, Bloom, J. S., Amini, S., Singh, M., Perlman, D. H., Caudy, A. A., and Kruglyak, L., “Quantitative measurement of allele-specific protein expression in a diploid yeast hybrid by LC-MS.”, Mol Syst Biol, vol. 8, p. 602, 2012.
Saccharomyces cerevisiae
E. Banks, Nabieva, E., Chazelle, B., and Singh, M., “Organization of physical interactomes as uncovered by network schemas.”, PLoS Comput Biol, vol. 4, no. 10, p. e1000203, 2008.
Y. Pritykin and Singh, M., “Simple topological features reflect dynamics and modularity in protein interaction networks.”, PLoS Comput Biol, vol. 9, no. 10, p. e1003243, 2013.
J. Song and Singh, M., “How and when should interactome-derived clusters be used to predict functional modules and protein function?”, Bioinformatics, vol. 25, no. 23, pp. 3143-50, 2009.
Z. Khan, Bloom, J. S., Amini, S., Singh, M., Perlman, D. H., Caudy, A. A., and Kruglyak, L., “Quantitative measurement of allele-specific protein expression in a diploid yeast hybrid by LC-MS.”, Mol Syst Biol, vol. 8, p. 602, 2012.
J. S. Bloom, Khan, Z., Kruglyak, L., Singh, M., and Caudy, A. A., “Measuring differential gene expression by short read sequencing: quantitative comparison to 2-channel gene expression microarrays.”, BMC Genomics, vol. 10, p. 221, 2009.
J. A. Capra, Paeschke, K., Singh, M., and Zakian, V. A., “G-quadruplex DNA sequences are evolutionarily conserved and associated with distinct genomic features in Saccharomyces cerevisiae.”, PLoS Comput Biol, vol. 6, no. 7, p. e1000861, 2010.
Saccharomyces cerevisiae Proteins
A. Pane, Jiang, P., Zhao, D. Yanling, Singh, M., and Schüpbach, T., “The Cutoff protein regulates piRNA cluster expression and piRNA production in the Drosophila germline.”, EMBO J, vol. 30, no. 22, pp. 4601-15, 2011.
E. Banks, Nabieva, E., Chazelle, B., and Singh, M., “Organization of physical interactomes as uncovered by network schemas.”, PLoS Comput Biol, vol. 4, no. 10, p. e1000203, 2008.
Z. Khan, Bloom, J. S., Amini, S., Singh, M., Perlman, D. H., Caudy, A. A., and Kruglyak, L., “Quantitative measurement of allele-specific protein expression in a diploid yeast hybrid by LC-MS.”, Mol Syst Biol, vol. 8, p. 602, 2012.
Sensitivity and Specificity
Z. Khan, Amini, S., Bloom, J. S., Ruse, C., Caudy, A. A., Kruglyak, L., Singh, M., Perlman, D. H., and Tavazoie, S., “Accurate proteome-wide protein quantification from high-resolution 15N mass spectra.”, Genome Biol, vol. 12, no. 12, p. R122, 2011.
Sequence Alignment
J. A. Capra and Singh, M., “Predicting functionally important residues from sequence conservation.”, Bioinformatics, vol. 23, no. 15, pp. 1875-82, 2007.
J. A. Capra and Singh, M., “Characterization and prediction of residues determining protein functional specificity.”, Bioinformatics, vol. 24, no. 13, pp. 1473-80, 2008.
C. L. Kingsford, Chazelle, B., and Singh, M., “Solving and analyzing side-chain positioning problems using linear and integer programming.”, Bioinformatics, vol. 21, no. 7, pp. 1028-36, 2005.
J. S. Bloom, Khan, Z., Kruglyak, L., Singh, M., and Caudy, A. A., “Measuring differential gene expression by short read sequencing: quantitative comparison to 2-channel gene expression microarrays.”, BMC Genomics, vol. 10, p. 221, 2009.
Z. Khan, Bloom, J. S., Kruglyak, L., and Singh, M., “A practical algorithm for finding maximal exact matches in large sequence datasets using sparse suffix arrays.”, Bioinformatics, vol. 25, no. 13, pp. 1609-16, 2009.
Sequence Analysis, DNA
R. Osada, Zaslavsky, E., and Singh, M., “Comparative analysis of methods for representing and searching for transcription factor binding sites.”, Bioinformatics, vol. 20, no. 18, pp. 3516-25, 2004.
J. S. Bloom, Khan, Z., Kruglyak, L., Singh, M., and Caudy, A. A., “Measuring differential gene expression by short read sequencing: quantitative comparison to 2-channel gene expression microarrays.”, BMC Genomics, vol. 10, p. 221, 2009.
J. A. Capra, Paeschke, K., Singh, M., and Zakian, V. A., “G-quadruplex DNA sequences are evolutionarily conserved and associated with distinct genomic features in Saccharomyces cerevisiae.”, PLoS Comput Biol, vol. 6, no. 7, p. e1000861, 2010.
A. Pane, Jiang, P., Zhao, D. Yanling, Singh, M., and Schüpbach, T., “The Cutoff protein regulates piRNA cluster expression and piRNA production in the Drosophila germline.”, EMBO J, vol. 30, no. 22, pp. 4601-15, 2011.
Z. Khan, Bloom, J. S., Kruglyak, L., and Singh, M., “A practical algorithm for finding maximal exact matches in large sequence datasets using sparse suffix arrays.”, Bioinformatics, vol. 25, no. 13, pp. 1609-16, 2009.
Sequence Analysis, Protein
J. A. Capra and Singh, M., “Predicting functionally important residues from sequence conservation.”, Bioinformatics, vol. 23, no. 15, pp. 1875-82, 2007.
A. Ochoa, Llinás, M., and Singh, M., “Using context to improve protein domain identification.”, BMC Bioinformatics, vol. 12, p. 90, 2011.
J. A. Capra and Singh, M., “Characterization and prediction of residues determining protein functional specificity.”, Bioinformatics, vol. 24, no. 13, pp. 1473-80, 2008.
A. V. Persikov and Singh, M., “De novo prediction of DNA-binding specificities for Cys2His2 zinc finger proteins.”, Nucleic Acids Res, vol. 42, no. 1, pp. 97-108, 2014.
C. L. Kingsford, Chazelle, B., and Singh, M., “Solving and analyzing side-chain positioning problems using linear and integer programming.”, Bioinformatics, vol. 21, no. 7, pp. 1028-36, 2005.
Sequence Analysis, RNA
Y. Pritykin, Brito, T., Schüpbach, T., Singh, M., and Pane, A., “Integrative analysis unveils new functions for the Drosophila Cutoff protein in noncoding RNA biogenesis and gene regulation.”, RNA, vol. 23, no. 7, pp. 1097-1109, 2017.
Sequence Homology, Amino Acid
D. Munro, Ghersi, D., and Singh, M., “Two critical positions in zinc finger domains are heavily mutated in three human cancer types.”, PLoS Comput Biol, vol. 14, no. 6, p. e1006290, 2018.
C. L. Kingsford, Chazelle, B., and Singh, M., “Solving and analyzing side-chain positioning problems using linear and integer programming.”, Bioinformatics, vol. 21, no. 7, pp. 1028-36, 2005.
Sequence Homology, Nucleic Acid
J. A. Capra and Singh, M., “Predicting functionally important residues from sequence conservation.”, Bioinformatics, vol. 23, no. 15, pp. 1875-82, 2007.
Skin Neoplasms
D. Munro, Ghersi, D., and Singh, M., “Two critical positions in zinc finger domains are heavily mutated in three human cancer types.”, PLoS Comput Biol, vol. 14, no. 6, p. e1006290, 2018.
Software
Z. Khan, Amini, S., Bloom, J. S., Ruse, C., Caudy, A. A., Kruglyak, L., Singh, M., Perlman, D. H., and Tavazoie, S., “Accurate proteome-wide protein quantification from high-resolution 15N mass spectra.”, Genome Biol, vol. 12, no. 12, p. R122, 2011.
D. Ghersi and Singh, M., “Interaction-based discovery of functionally important genes in cancers.”, Nucleic Acids Res, vol. 42, no. 3, p. e18, 2014.
R. Osada, Zaslavsky, E., and Singh, M., “Comparative analysis of methods for representing and searching for transcription factor binding sites.”, Bioinformatics, vol. 20, no. 18, pp. 3516-25, 2004.
P. F. Przytycki and Singh, M., “Differential analysis between somatic mutation and germline variation profiles reveals cancer-related genes.”, Genome Med, vol. 9, no. 1, p. 79, 2017.
P. Jiang and Singh, M., “SPICi: a fast clustering algorithm for large biological networks.”, Bioinformatics, vol. 26, no. 8, pp. 1105-11, 2010.
D. Ghersi and Singh, M., “molBLOCKS: decomposing small molecule sets and uncovering enriched fragments.”, Bioinformatics, vol. 30, no. 14, pp. 2081-3, 2014.
C. L. Kingsford, Chazelle, B., and Singh, M., “Solving and analyzing side-chain positioning problems using linear and integer programming.”, Bioinformatics, vol. 21, no. 7, pp. 1028-36, 2005.
P. Jiang and Singh, M., “CCAT: Combinatorial Code Analysis Tool for transcriptional regulation.”, Nucleic Acids Res, vol. 42, no. 5, pp. 2833-47, 2014.
Software Validation
R. Osada, Zaslavsky, E., and Singh, M., “Comparative analysis of methods for representing and searching for transcription factor binding sites.”, Bioinformatics, vol. 20, no. 18, pp. 3516-25, 2004.
Species Specificity
Z. Khan, Bloom, J. S., Amini, S., Singh, M., Perlman, D. H., Caudy, A. A., and Kruglyak, L., “Quantitative measurement of allele-specific protein expression in a diploid yeast hybrid by LC-MS.”, Mol Syst Biol, vol. 8, p. 602, 2012.
Static Electricity
J. H. Fong, Keating, A. E., and Singh, M., “Predicting specificity in bZIP coiled-coil protein interactions.”, Genome Biol, vol. 5, no. 2, p. R11, 2004.
Statistics, Nonparametric
J. Song and Singh, M., “From hub proteins to hub modules: the relationship between essentiality and centrality in the yeast interactome at different scales of organization.”, PLoS Comput Biol, vol. 9, no. 2, p. e1002910, 2013.
Y. Pritykin and Singh, M., “Simple topological features reflect dynamics and modularity in protein interaction networks.”, PLoS Comput Biol, vol. 9, no. 10, p. e1003243, 2013.
Stem Cells
A. Pane, Jiang, P., Zhao, D. Yanling, Singh, M., and Schüpbach, T., “The Cutoff protein regulates piRNA cluster expression and piRNA production in the Drosophila germline.”, EMBO J, vol. 30, no. 22, pp. 4601-15, 2011.
Streptococcus pneumoniae
K. Jim, Parmar, K., Singh, M., and Tavazoie, S., “A cross-genomic approach for systematic mapping of phenotypic traits to genes.”, Genome Res, vol. 14, no. 1, pp. 109-15, 2004.
Structural Homology, Protein
J. L. Wetzel and Singh, M., “Sharing DNA-binding information across structurally similar proteins enables accurate specificity determination.”, Nucleic Acids Res, vol. 48, no. 2, p. e9, 2020.
Structure-Activity Relationship
J. A. Capra and Singh, M., “Predicting functionally important residues from sequence conservation.”, Bioinformatics, vol. 23, no. 15, pp. 1875-82, 2007.
C. L. Kingsford, Chazelle, B., and Singh, M., “Solving and analyzing side-chain positioning problems using linear and integer programming.”, Bioinformatics, vol. 21, no. 7, pp. 1028-36, 2005.
Tandem Mass Spectrometry
Z. Khan, Bloom, J. S., Garcia, B. A., Singh, M., and Kruglyak, L., “Protein quantification across hundreds of experimental conditions.”, Proc Natl Acad Sci U S A, vol. 106, no. 37, pp. 15544-8, 2009.
Time Factors
D. J. Brooks, Fresco, J. R., Lesk, A. M., and Singh, M., “Evolution of amino acid frequencies in proteins over deep time: inferred order of introduction of amino acids into the genetic code.”, Mol Biol Evol, vol. 19, no. 10, pp. 1645-55, 2002.
Transcription Factors
D. Ghersi and Singh, M., “Interaction-based discovery of functionally important genes in cancers.”, Nucleic Acids Res, vol. 42, no. 3, p. e18, 2014.
A. V. Persikov, Rowland, E. F., Oakes, B. L., Singh, M., and Noyes, M. B., “Deep sequencing of large library selections allows computational discovery of diverse sets of zinc fingers that bind common targets.”, Nucleic Acids Res, vol. 42, no. 3, pp. 1497-508, 2014.
J. H. Fong, Keating, A. E., and Singh, M., “Predicting specificity in bZIP coiled-coil protein interactions.”, Genome Biol, vol. 5, no. 2, p. R11, 2004.
D. Munro, Ghersi, D., and Singh, M., “Two critical positions in zinc finger domains are heavily mutated in three human cancer types.”, PLoS Comput Biol, vol. 14, no. 6, p. e1006290, 2018.
P. Jiang and Singh, M., “CCAT: Combinatorial Code Analysis Tool for transcriptional regulation.”, Nucleic Acids Res, vol. 42, no. 5, pp. 2833-47, 2014.
R. Osada, Zaslavsky, E., and Singh, M., “Comparative analysis of methods for representing and searching for transcription factor binding sites.”, Bioinformatics, vol. 20, no. 18, pp. 3516-25, 2004.
Transcription, Genetic
P. Jiang and Singh, M., “CCAT: Combinatorial Code Analysis Tool for transcriptional regulation.”, Nucleic Acids Res, vol. 42, no. 5, pp. 2833-47, 2014.
A. Pane, Jiang, P., Zhao, D. Yanling, Singh, M., and Schüpbach, T., “The Cutoff protein regulates piRNA cluster expression and piRNA production in the Drosophila germline.”, EMBO J, vol. 30, no. 22, pp. 4601-15, 2011.
Tropism
K. Jim, Parmar, K., Singh, M., and Tavazoie, S., “A cross-genomic approach for systematic mapping of phenotypic traits to genes.”, Genome Res, vol. 14, no. 1, pp. 109-15, 2004.
Ubiquitin-Protein Ligases
D. Ghersi and Singh, M., “Interaction-based discovery of functionally important genes in cancers.”, Nucleic Acids Res, vol. 42, no. 3, p. e18, 2014.
Uterine Neoplasms
D. Munro, Ghersi, D., and Singh, M., “Two critical positions in zinc finger domains are heavily mutated in three human cancer types.”, PLoS Comput Biol, vol. 14, no. 6, p. e1006290, 2018.
Yeasts
J. Song and Singh, M., “From hub proteins to hub modules: the relationship between essentiality and centrality in the yeast interactome at different scales of organization.”, PLoS Comput Biol, vol. 9, no. 2, p. e1002910, 2013.
J. A. Capra, Paeschke, K., Singh, M., and Zakian, V. A., “G-quadruplex DNA sequences are evolutionarily conserved and associated with distinct genomic features in Saccharomyces cerevisiae.”, PLoS Comput Biol, vol. 6, no. 7, p. e1000861, 2010.
Zinc Fingers
A. V. Persikov, Rowland, E. F., Oakes, B. L., Singh, M., and Noyes, M. B., “Deep sequencing of large library selections allows computational discovery of diverse sets of zinc fingers that bind common targets.”, Nucleic Acids Res, vol. 42, no. 3, pp. 1497-508, 2014.
A. V. Persikov and Singh, M., “An expanded binding model for Cys2His2 zinc finger protein-DNA interfaces.”, Phys Biol, vol. 8, no. 3, p. 035010, 2011.
A. V. Persikov and Singh, M., “De novo prediction of DNA-binding specificities for Cys2His2 zinc finger proteins.”, Nucleic Acids Res, vol. 42, no. 1, pp. 97-108, 2014.
A. V. Persikov, Osada, R., and Singh, M., “Predicting DNA recognition by Cys2His2 zinc finger proteins.”, Bioinformatics, vol. 25, no. 1, pp. 22-9, 2009.
D. Munro, Ghersi, D., and Singh, M., “Two critical positions in zinc finger domains are heavily mutated in three human cancer types.”, PLoS Comput Biol, vol. 14, no. 6, p. e1006290, 2018.

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