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Leelavati Narlikar, Ph.D. - Publications

Affiliations: 
2008 Computer Science Duke University, Durham, NC 
Area:
Bioinformatics, Computer Science, Statistics
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23 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Vadnala RN, Hannenhalli S, Narlikar L, Siddharthan R. Transcription factors organize into functional groups on the linear genome and in 3D chromatin. Heliyon. 9: e18211. PMID 37520992 DOI: 10.1016/j.heliyon.2023.e18211  0.522
2021 Biswas A, Narlikar L. A universal framework for detecting -regulatory diversity in DNA regulatory regions. Genome Research. PMID 34285090 DOI: 10.1101/gr.274563.120  0.593
2021 Biswas A, Narlikar L. A universal framework for detecting -regulatory diversity in DNA regulatory regions. Genome Research. PMID 34285090 DOI: 10.1101/gr.274563.120  0.593
2021 Biswas A, Narlikar L. Resolving diverse protein-DNA footprints from exonuclease-based ChIP experiments. Bioinformatics (Oxford, England). 37: i367-i375. PMID 34252930 DOI: 10.1093/bioinformatics/btab274  0.461
2021 Sreekumar L, Kumari K, Guin K, Bakshi A, Varshney N, Thimmappa BC, Narlikar L, Padinhateeri R, Siddharthan R, Sanyal K. Orc4 spatiotemporally stabilizes centromeric chromatin. Genome Research. PMID 33514624 DOI: 10.1101/gr.265900.120  0.409
2018 Mitra S, Biswas A, Narlikar L. DIVERSITY in binding, regulation, and evolution revealed from high-throughput ChIP. Plos Computational Biology. 14: e1006090. PMID 29684008 DOI: 10.1371/Journal.Pcbi.1006090  0.611
2017 Agrawal A, Sambare SV, Narlikar L, Siddharthan R. THiCweed: fast, sensitive detection of sequence features by clustering big datasets. Nucleic Acids Research. PMID 29267972 DOI: 10.1093/Nar/Gkx1251  0.643
2015 Mitra S, Narlikar L. No Promoter Left Behind (NPLB): learn de novo promoter architectures from genome-wide transcription start sites. Bioinformatics (Oxford, England). PMID 26530723 DOI: 10.1093/Bioinformatics/Btv645  0.521
2015 Taher L, Narlikar L, Ovcharenko I. Identification and computational analysis of gene regulatory elements. Cold Spring Harbor Protocols. 2015: pdb.top083642. PMID 25561628 DOI: 10.1101/Pdb.Top083642  0.473
2014 Narlikar L. Multiple novel promoter-architectures revealed by decoding the hidden heterogeneity within the genome. Nucleic Acids Research. 42: 12388-403. PMID 25326324 DOI: 10.1093/Nar/Gku924  0.543
2013 Narlikar L, Mehta N, Galande S, Arjunwadkar M. One size does not fit all: on how Markov model order dictates performance of genomic sequence analyses. Nucleic Acids Research. 41: 1416-24. PMID 23267010 DOI: 10.1093/Nar/Gks1285  0.442
2013 Narlikar L. MuMoD: a Bayesian approach to detect multiple modes of protein-DNA binding from genome-wide ChIP data. Nucleic Acids Research. 41: 21-32. PMID 23093591 DOI: 10.1093/Nar/Gks950  0.643
2012 Taher L, Narlikar L, Ovcharenko I. CLARE: Cracking the LAnguage of Regulatory Elements. Bioinformatics (Oxford, England). 28: 581-3. PMID 22199387 DOI: 10.1093/Bioinformatics/Btr704  0.476
2012 Narlikar L, Jothi R. ChIP-Seq data analysis: identification of protein-DNA binding sites with SISSRs peak-finder. Methods in Molecular Biology (Clifton, N.J.). 802: 305-22. PMID 22130889 DOI: 10.1007/978-1-61779-400-1_20  0.592
2011 Wei G, Abraham BJ, Yagi R, Jothi R, Cui K, Sharma S, Narlikar L, Northrup DL, Tang Q, Paul WE, Zhu J, Zhao K. Genome-wide analyses of transcription factor GATA3-mediated gene regulation in distinct T cell types. Immunity. 35: 299-311. PMID 21867929 DOI: 10.1016/J.Immuni.2011.08.007  0.427
2010 Narlikar L, Sakabe NJ, Blanski AA, Arimura FE, Westlund JM, Nobrega MA, Ovcharenko I. Genome-wide discovery of human heart enhancers. Genome Research. 20: 381-92. PMID 20075146 DOI: 10.1101/Gr.098657.109  0.493
2010 Gordân R, Narlikar L, Hartemink AJ. Finding regulatory DNA motifs using alignment-free evolutionary conservation information. Nucleic Acids Research. 38: e90. PMID 20047961 DOI: 10.1093/Nar/Gkp1166  0.744
2009 Narlikar L, Ovcharenko I. Identifying regulatory elements in eukaryotic genomes. Briefings in Functional Genomics & Proteomics. 8: 215-30. PMID 19498043 DOI: 10.1093/Bfgp/Elp014  0.592
2008 Gordân R, Narlikar L, Hartemink AJ. A fast, alignment-free, conservation-based method for transcription factor binding site discovery Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4955: 98-111. DOI: 10.1007/978-3-540-78839-3_9  0.8
2007 Narlikar L, Gordân R, Hartemink AJ. A nucleosome-guided map of transcription factor binding sites in yeast. Plos Computational Biology. 3: e215. PMID 17997593 DOI: 10.1371/Journal.Pcbi.0030215  0.749
2007 Narlikar L, Gordân R, Hartemink AJ. Nucleosome occupancy information improves de novo motif discovery Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4453: 107-121.  0.78
2006 Narlikar L, Gordân R, Ohler U, Hartemink AJ. Informative priors based on transcription factor structural class improve de novo motif discovery. Bioinformatics (Oxford, England). 22: e384-92. PMID 16873497 DOI: 10.1093/Bioinformatics/Btl251  0.744
2006 Narlikar L, Hartemink AJ. Sequence features of DNA binding sites reveal structural class of associated transcription factor. Bioinformatics (Oxford, England). 22: 157-63. PMID 16267080 DOI: 10.1093/Bioinformatics/Bti731  0.758
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