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]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
Embryonic Development
P. Jiang and Singh, M., CCAT: Combinatorial Code Analysis Tool for transcriptional regulation., Nucleic Acids Res, vol. 42, no. 5, pp. 2833-47, 2014.
Embryo, Nonmammalian
P. Jiang and Singh, M., CCAT: Combinatorial Code Analysis Tool for transcriptional regulation., Nucleic Acids Res, vol. 42, no. 5, pp. 2833-47, 2014.
Early Growth Response Protein 1
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.
DNA-Binding Proteins
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.
D. Ghersi and Singh, M., Interaction-based discovery of functionally important genes in cancers., Nucleic Acids Res, vol. 42, no. 3, p. e18, 2014.
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.
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.
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.
DEAD-box RNA Helicases
D. Ghersi and Singh, M., Interaction-based discovery of functionally important genes in cancers., Nucleic Acids Res, vol. 42, no. 3, p. e18, 2014.
Databases, Nucleic Acid
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.
Databases, Factual
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.
Computational Biology
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.
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.
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.
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.
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. 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.
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.
Binding Sites
P. Jiang and Singh, M., CCAT: Combinatorial Code Analysis Tool for transcriptional regulation., Nucleic Acids Res, vol. 42, no. 5, pp. 2833-47, 2014.
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.
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.
D. Ghersi and Singh, M., Interaction-based discovery of functionally important genes in cancers., Nucleic Acids Res, vol. 42, no. 3, p. e18, 2014.
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.
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.
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.
beta-Transducin Repeat-Containing 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.
Basic-Leucine Zipper Transcription Factors
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.
Automatic Data Processing
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.
Antineoplastic Agents
D. Ghersi and Singh, M., molBLOCKS: decomposing small molecule sets and uncovering enriched fragments., Bioinformatics, vol. 30, no. 14, pp. 2081-3, 2014.
Animals
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. 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.
A. Ochoa, Llinás, M., and Singh, M., Using context to improve protein domain identification., BMC Bioinformatics, vol. 12, p. 90, 2011.
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.
P. Jiang and Singh, M., CCAT: Combinatorial Code Analysis Tool for transcriptional regulation., Nucleic Acids Res, vol. 42, no. 5, pp. 2833-47, 2014.
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.
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.
Amino Acid Sequence
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.
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.
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. 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, Osada, R., and Singh, M., Predicting DNA recognition by Cys2His2 zinc finger proteins., Bioinformatics, vol. 25, no. 1, pp. 22-9, 2009.
Algorithms
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.
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.
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, 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., 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.
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.
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 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.
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.
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.
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.

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