biblio

Filters: Author is Narlikar, Leelavati  [Clear All Filters]
2012
L. Narlikar and Jothi, R., “ChIP-Seq data analysis: identification of protein-DNA binding sites with SISSRs peak-finder”, Methods in molecular biology, vol. 802, pp. 305-22, 2012.
L. Taher, Narlikar, L., and Ovcharenko, I., “Clare: cracking the language of regulatory elements”, Bioinformatics, vol. 28, no. 4, pp. 581-583, 2012.
2013
L. Narlikar, “MuMoD: a bayesian approach to detect multiple modes of protein-DNA binding from genome-wide ChIP data”, Nucleic Acids Research, vol. 41, no. 1, pp. 21-32, 2013.
L. Narlikar, Mehta, N., Galande, S., and Arjunwadkar, M., “One size does not fit all: on how markov model order dictates performance of genomic sequence analyses”, Nucleic Acids Research, vol. 41, no. 3, pp. 1416-1424, 2013.
2014
L. Narlikar, “Multiple novel promoter-architectures revealed by decoding the hidden heterogeneity within the genome”, Nucleic Acids Research, vol. 42, no. 20, pp. 12388-12403, 2014.
2015
L. Taher, Narlikar, L., and Ovcharenko, I., “Identification and computational analysis of gene regulatory elements”, Cold Spring Harbor Protocols, vol. 1, 2015.
2016
S. Mitra and Narlikar, L., “No promoter left behind (NPLB): learn de novo promoter architectures from genome-wide transcription start sites”, Bioinformatics, vol. 32, no. 5, pp. 779-781, 2016.
2018
S. Mitra, Biswas, A., and Narlikar, L., “Diversity in binding, regulation, and evolution revealed from high-throughput ChIP”, PLoS Computational Biology, vol. 14, no. 4, p. Article Number: e1006090, 2018.
A. Agrawal, Sambare, S. V., Narlikar, L., and Siddharthan, R., “THiCweed: fast, sensitive detection of sequence features by clustering big datasets”, Nucleic Acids Research, vol. 46, no. 5, p. e29, 2018.
2021
L. Sreekumar, Kumari, K., Guin, K., Bakshi, A., Varshney, N., Thimmappa, B. C., Narlikar, L., Padinhateeri, R., Siddharthan, R., and Sanyal, K., “Orc4 spatiotemporally stabilizes centromeric chromatin”, Genome Research, vol. 31, no. 4, pp. 607-621, 2021.
A. Biswas and Narlikar, L., “Resolving diverse protein-DNA footprints from exonuclease-based ChIP experiments”, Bioinformatics, vol. 37, pp. I367-I375, 2021.
A. Biswas and Narlikar, L., “A universal framework for detecting cis-regulatory diversity in DNA regions”, Genome Research, vol. 31, no. 9, pp. 1646-1662, 2021.
2026
S. Gharui, Puntambekar, S., Sarkar, R. Rup, Narlikar, L., and Sengupta, D., “Recognition of diverse GATA motifs necessitates multimodal GATA3-DNA binding”, Biochemical and Biophysical Research Communications, vol. 817, p. 153718, 2026.