The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
An integrated software system for analyzing ChIP-chip and ChIP-seq data
Open accessAbstract
We present CisGenome, a software system for analyzing genome-wide chromatin immunoprecipitation (ChIP) data. CisGenome is designed to meet all basic needs of ChIP data analyses, including visualization, data normalization, peak detection, false discovery rate computation, gene-peak association, and sequence and motif analysis. In addition to implementing previously published ChIP–microarray (ChIP-chip) analysis methods, the software contains statistical methods designed specifically for ChlP sequencing (ChIP-seq) data obtained by coupling ChIP with massively parallel sequencing. The modular design of CisGenome enables it to support interactive analyses through a graphic user interface as well as customized batch-mode computation for advanced data mining. A built-in browser allows visualization of array images, signals, gene structure, conservation, and DNA sequence and motif information. We demonstrate the use of these tools by a comparative analysis of ChIP-chip and ChIP-seq data for the transcription factor NRSF/REST, a study of ChIP-seq analysis with or without a negative control sample, and an analysis of a new motif in Nanog- and Sox2-binding regions.
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Cites
High-Resolution Profiling of Histone Methylations in the Human Genome
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The ENCODE Project Consortium (2007) · Nature · doi:10.1038/nature05874 · Cited by 5,223
Genome-wide maps of chromatin state in pluripotent and lineage-committed cells
Mikkelsen, T. S., Ku, M., Jaffe, D. B., Issac, B., Lieberman, E., Giannoukos, G., Alvarez, P., Brockman, W., Kim, T.-K., Koche, R. P., et al. (2007) · Nature · doi:10.1038/nature06008 · Cited by 4,129
Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes
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“To characterize the conservation level of the binding regions, CisGenome allows users to first choose a t such that x percent of the whole genome has a phastCon”
Robertson, G., Hirst, M., Bainbridge, M., Bilenky, M., Zhao, Y., Zeng, T., Euskirchen, G., Bernier, B., Varhol, R., Delaney, A., et al. (2007) · Nature Methods · doi:10.1038/nmeth1068 · Cited by 1,454
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Cited by
GREAT improves functional interpretation of cis-regulatory regions
McLean, C. Y., Bristor, D., Hiller, M., Clarke, S. L., Schaar, B. T., Lowe, C. B., Wenger, A. M., & Bejerano, G. (2010) · Nature Biotechnology · doi:10.1038/nbt.1630 · Cited by 4,502
ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia
Landt, S. G., Marinov, G. K., Kundaje, A., Kheradpour, P., Pauli, F., Batzoglou, S., Bernstein, B. E., Bickel, P., Brown, J. B., Cayting, P., et al. (2012) · Genome Research · doi:10.1101/gr.136184.111 · Cited by 2,033
Self-citationChIP–seq: advantages and challenges of a maturing technology
Park, P. J. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2641 · Cited by 2,217
TET1 and hydroxymethylcytosine in transcription and DNA methylation fidelity
Williams, K., Christensen, J., Pedersen, M. T., Johansen, J. V., Cloos, P. A. C., Rappsilber, J., & Helin, K. (2011) · Nature · doi:10.1038/nature10066 · Cited by 1,021
High-resolution genome-wide mapping of HIF-binding sites by ChIP-seq
Schödel, J., Oikonomopoulos, S., Ragoussis, J., Pugh, C. W., Ratcliffe, P. J., & Mole, D. R. (2011) · Blood · doi:10.1182/blood-2010-10-314427 · Cited by 724
Metadata
- Authors
- Ji, H., Jiang, H., Ma, W., Johnson, D. S., Myers, R. M., & Wong, W. H.
- Venue
- Nature Biotechnology
- Published
- 2008-11
- Volume
- 26
- Issue
- 11
- Pages
- 1293-1300
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W1967656072
- Cited by
- 716
- References
- 6
- FWCI
- 31.64
- Type
- journal article
- Language
- en
- Open access
- green
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- Ji, H., Jiang, H., Ma, W., Johnson, D. S., Myers, R. M., & Wong, W. H. (2008). An integrated software system for analyzing ChIP-chip and ChIP-seq data. Nature Biotechnology. https://doi.org/10.1038/nbt.1505
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