The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
An algorithm for finding protein–DNA binding sites with applications to chromatin- immunoprecipitation microarray experiments
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Cites
Fitting a mixture model by expectation maximization to discover motifs in biopolymers.
Bailey, T. L., & Elkan, C. (1994) · PubMed · Cited by 4,982
Spellman, P. T., Sherlock, G., Zhang, M. Q., Iyer, V. R., Anders, K., Eisen, M. B., Brown, P. O., Botstein, D., & Futcher, B. (1998) · Molecular Biology of the Cell · doi:10.1091/mbc.9.12.3273 · Cited by 4,722
Monte Carlo Strategies in Scientific Computing
Liu, J. S. (2004) · Springer Series in Statistics · doi:10.1007/978-0-387-76371-2 · Cited by 2,690
Self-citationDetecting Subtle Sequence Signals: a Gibbs Sampling Strategy for Multiple Alignment
Lawrence, C. E., Altschul, S. F., Boguski, M. S., Liu, J. S., Neuwald, A. F., & Wootton, J. C. (1993) · Science · doi:10.1126/science.8211139 · Cited by 1,807
Self-citationGenome-Wide Location and Function of DNA Binding Proteins
Ren, B., Robert, F., Wyrick, J. J., Aparicio, O., Jennings, E. G., Simon, I., Zeitlinger, J., Schreiber, J., Hannett, N., Kanin, E., et al. (2000) · Science · doi:10.1126/science.290.5500.2306 · Cited by 1,766
Monte Carlo Strategies in Scientific Computing
Hesterberg, T. (2002) · Technometrics · doi:10.1198/tech.2002.s85 · Cited by 1,409
Genomic binding sites of the yeast cell-cycle transcription factors SBF and MBF
Iyer, V. R., Horak, C. E., Scafe, C. S., Botstein, D., Snyder, M., & Brown, P. O. (2001) · Nature · doi:10.1038/35054095 · Cited by 1,083
Roth, F. P., Hughes, J. D., Estep, P. W., & Church, G. M. (1998) · Nature Biotechnology · doi:10.1038/nbt1098-939 · Cited by 939
BIOPROSPECTOR: DISCOVERING CONSERVED DNA MOTIFS IN UPSTREAM REGULATORY REGIONS OF CO-EXPRESSED GENES
LIU, X., BRUTLAG, D. L., & LIU, J. S. (2000) · Biocomputing 2001 · doi:10.1142/9789814447362_0014 · Cited by 818
Self-citationvan Helden, J., André, B., & Collado-Vides, J. (1998) · Journal of Molecular Biology · doi:10.1006/jmbi.1998.1947 · Cited by 741
Cited by
The ENCODE Project Consortium (2007) · Nature · doi:10.1038/nature05874 · Cited by 5,223
ChIP–seq: advantages and challenges of a maturing technology
Park, P. J. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2641 · Cited by 2,217
Carroll, J. S., Liu, X. S., Brodsky, A. S., Li, W., Meyer, C. A., Szary, A. J., Eeckhoute, J., Shao, W., Hestermann, E. V., Geistlinger, T. R., et al. (2005) · Cell · doi:10.1016/j.cell.2005.05.008 · Cited by 1,384
Self-citationGenome-wide analysis of estrogen receptor binding sites
Carroll, J. S., Meyer, C. A., Song, J., Li, W., Geistlinger, T. R., Eeckhoute, J., Brodsky, A. S., Keeton, E. K., Fertuck, K. C., Hall, G. F., et al. (2006) · Nature Genetics · doi:10.1038/ng1901 · Cited by 1,377
Self-citationCawley, S., Bekiranov, S., Ng, H. H., Kapranov, P., Sekinger, E. A., Kampa, D., Piccolboni, A., Sementchenko, V., Cheng, J., Williams, A. J., et al. (2004) · Cell · doi:10.1016/s0092-8674(04)00127-8 · Cited by 1,095
Metadata
- Authors
- Liu, X. S., Brutlag, D. L., & Liu, J. S.
- Venue
- Nature Biotechnology
- Published
- 2002-07-08
- Volume
- 20
- Issue
- 8
- Pages
- 835-839
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W2121356022
- Cited by
- 667
- References
- 21
- FWCI
- 12.53
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: An algorithm for finding protein–DNA binding sites with applications to chromatin- immunoprecipitation microarray experiments. https://app.cochat.ai/papers/10.1038/nbt717
- The paper
- Liu, X. S., Brutlag, D. L., & Liu, J. S. (2002). An algorithm for finding protein–DNA binding sites with applications to chromatin- immunoprecipitation microarray experiments. Nature Biotechnology. https://doi.org/10.1038/nbt717
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
