The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Transcriptome analysis using next-generation sequencing
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
DNA sequencing with chain-terminating inhibitors
Sanger, F., Nicklen, S., & Coulson, A. R. (1977) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.74.12.5463 · Cited by 68,572
Mapping and quantifying mammalian transcriptomes by RNA-Seq
Mortazavi, A., Williams, B. A., McCue, K., Schaeffer, L., & Wold, B. (2008) · Nature Methods · doi:10.1038/nmeth.1226 · Cited by 13,696
A human gut microbial gene catalogue established by metagenomic sequencing
MetaHIT Consortium, Qin, J., Li, R., Raes, J., Arumugam, M., Burgdorf, K. S., Manichanh, C., Nielsen, T., Pons, N., Levenez, F., et al. (2010) · Nature · doi:10.1038/nature08821 · Cited by 11,624
ChIP–seq: advantages and challenges of a maturing technology
Park, P. J. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2641 · Cited by 2,217
The complete genome of an individual by massively parallel DNA sequencing
Wheeler, D. A., Srinivasan, M., Egholm, M., Shen, Y., Chen, L., McGuire, A., He, W., Chen, Y.-J., Makhijani, V., Roth, G. T., et al. (2008) · Nature · doi:10.1038/nature06884 · Cited by 1,838
A germline-specific class of small RNAs binds mammalian Piwi proteins
Girard, A., Sachidanandam, R., Hannon, G. J., & Carmell, M. A. (2006) · Nature · doi:10.1038/nature04917 · Cited by 1,762
Differential expression in RNA-seq: A matter of depth
Tarazona, S., García-Alcalde, F., Dopazo, J., Ferrer, A., & Conesa, A. (2011) · Genome Research · doi:10.1101/gr.124321.111 · Cited by 1,632
Stem cell transcriptome profiling via massive-scale mRNA sequencing
Cloonan, N., Forrest, A. R. R., Kolle, G., Gardiner, B. B. A., Faulkner, G. J., Brown, M. K., Taylor, D. F., Steptoe, A. L., Wani, S., Bethel, G., et al. (2008) · Nature Methods · doi:10.1038/nmeth.1223 · Cited by 1,035 · cited 2×
“Identification of allele-specific expression [59] and discovery of transcriptional activity of repeated elements [60] are additional applications of next-generation sequencing technologies.”
BackgroundMethodWhole-Genome Sequencing in a Patient with Charcot–Marie–Tooth Neuropathy
Lupski, J. R., Reid, J. G., Gonzaga-Jauregui, C., Rio Deiros, D., Chen, D. C. Y., Nazareth, L., Bainbridge, M., Dinh, H., Jing, C., Wheeler, D. A., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0908094 · Cited by 759
The impact of next-generation sequencing on genomics
Zhang, J., Chiodini, R., Badr, A., & Zhang, G. (2011) · Journal of Genetics and Genomics · doi:10.1016/j.jgg.2011.02.003 · Cited by 577
Cited by
Next-generation sequencing technologies: An overview
Hu, T., Chitnis, N., Monos, D., & Dinh, A. (2021) · Human Immunology · doi:10.1016/j.humimm.2021.02.012 · Cited by 949
The Need for Multi-Omics Biomarker Signatures in Precision Medicine
Olivier, M., Asmis, R., Hawkins, G. A., Howard, T. D., & Cox, L. A. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20194781 · Cited by 499
Global transcriptome analyses of human and murine terminal erythroid differentiation
An, X., Schulz, V. P., Li, J., Wu, K., Liu, J., Xue, F., Hu, J., Mohandas, N., & Gallagher, P. G. (2014) · Blood · doi:10.1182/blood-2014-01-548305 · Cited by 360
Decoding the epitranscriptional landscape from native RNA sequences
Jenjaroenpun, P., Wongsurawat, T., Wadley, T. D., Wassenaar, T. M., Liu, J., Dai, Q., Wanchai, V., Akel, N. S., Jamshidi-Parsian, A., Franco, A. T., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa620 · Cited by 282
Lightbody, G., Haberland, V., Browne, F., Taggart, L., Zheng, H., Parkes, E., & Blayney, J. K. (2019) · Briefings in Bioinformatics · doi:10.1093/bib/bby051 · Cited by 173
Metadata
- Authors
- Mutz, K.-O., Heilkenbrinker, A., Lönne, M., Walter, J.-G., & Stahl, F.
- Venue
- Current Opinion in Biotechnology
- Publisher
- Elsevier BV
- Published
- 2013-02
- Volume
- 24
- Issue
- 1
- Pages
- 22-30
- ISSN
- 0958-1669 (ISSN-L)
- OpenAlex
- W2130854614
- Cited by
- 535
- References
- 13
- FWCI
- 2.62
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Transcriptome analysis using next-generation sequencing. https://app.cochat.ai/papers/10.1016/j.copbio.2012.09.004
- The paper
- Mutz, K.-O., Heilkenbrinker, A., Lönne, M., Walter, J.-G., & Stahl, F. (2013). Transcriptome analysis using next-generation sequencing. Current Opinion in Biotechnology. https://doi.org/10.1016/j.copbio.2012.09.004
Data sources
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.
