Leelavati Narlikar, Ph.D.
Affiliations: | 2008 | Computer Science | Duke University, Durham, NC |
Area:
Bioinformatics, Computer Science, StatisticsGoogle:
"Leelavati Narlikar"Parents
Sign in to add mentor| Alexander J. Hartemink | grad student | 2008 | Duke | |
| (Towards a complete transcriptional regulatory code: Improved motif discovery using informative priors.) | ||||
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Publications
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| Vadnala RN, Hannenhalli S, Narlikar L, et al. (2023) Transcription factors organize into functional groups on the linear genome and in 3D chromatin. Heliyon. 9: e18211 |
| Biswas A, Narlikar L. (2021) A universal framework for detecting -regulatory diversity in DNA regulatory regions. Genome Research |
| Biswas A, Narlikar L. (2021) A universal framework for detecting -regulatory diversity in DNA regulatory regions. Genome Research |
| Biswas A, Narlikar L. (2021) Resolving diverse protein-DNA footprints from exonuclease-based ChIP experiments. Bioinformatics (Oxford, England). 37: i367-i375 |
| Sreekumar L, Kumari K, Guin K, et al. (2021) Orc4 spatiotemporally stabilizes centromeric chromatin. Genome Research |
| Mitra S, Biswas A, Narlikar L. (2018) DIVERSITY in binding, regulation, and evolution revealed from high-throughput ChIP. Plos Computational Biology. 14: e1006090 |
| Agrawal A, Sambare SV, Narlikar L, et al. (2017) THiCweed: fast, sensitive detection of sequence features by clustering big datasets. Nucleic Acids Research |
| Mitra S, Narlikar L. (2015) No Promoter Left Behind (NPLB): learn de novo promoter architectures from genome-wide transcription start sites. Bioinformatics (Oxford, England) |
| Taher L, Narlikar L, Ovcharenko I. (2015) Identification and computational analysis of gene regulatory elements. Cold Spring Harbor Protocols. 2015: pdb.top083642 |
| Narlikar L. (2014) Multiple novel promoter-architectures revealed by decoding the hidden heterogeneity within the genome. Nucleic Acids Research. 42: 12388-403 |