The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences
Open accessAbstract
Motivation: In 2001 and 2002, we published two papers (Bioinformatics, 17, 282–283, Bioinformatics, 18, 77–82) describing an ultrafast protein sequence clustering program called cd-hit. This program can efficiently cluster a huge protein database with millions of sequences. However, the applications of the underlying algorithm are not limited to only protein sequences clustering, here we present several new programs using the same algorithm including cd-hit-2d, cd-hit-est and cd-hit-est-2d. Cd-hit-2d compares two protein datasets and reports similar matches between them; cd-hit-est clusters a DNA/RNA sequence database and cd-hit-est-2d compares two nucleotide datasets. All these programs can handle huge datasets with millions of sequences and can be hundreds of times faster than methods based on the popular sequence comparison and database search tools, such as BLAST. Availability: Contact: liwz@sdsc.edu
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
Reduced diversity of faecal microbiota in Crohn’s disease revealed by a metagenomic approach
Manichanh, C., Rigottier-Gois, L., Bonnaud, E., Gloux, K., Pelletier, E., Frangeul, L., Nalin, R., Jarrin, C., Chardon, P., Marteau, P., et al. (2006) · Gut · doi:10.1136/gut.2005.073817 · Cited by 2,277
Mcbain, A. J., & Macfarlane, G. T. (1998) · Journal of Medical Microbiology · doi:10.1099/00222615-47-5-407 · Cited by 179
Beaud, D., Tailliez, P., & Anba-Mondoloni, J. (2005) · Microbiology · doi:10.1099/mic.0.27712-0 · Cited by 160
Research works printed but not linked: 5
- Apweiler, 2004, UniProt: the Universal Protein knowledgebase, Nucleic Acids Res., 32, D115, 10.1093/nar/gkh131 · DOI
- Bourne, 2004, The distribution and query systems of the RCSB Protein Data Bank, Nucleic Acids Res., 32, D223, 10.1093/nar/gkh096 · DOI
- Li, 2001, Clustering of highly homologous sequences to reduce the size of large protein databases, Bioinformatics, 17, 282, 10.1093/bioinformatics/17.3.282 · DOI · Paper page
- Li, 2002, Sequence clustering strategies improve remote homology recognitions while reducing search times, Bioinformatics, 15, 643
- Li, 2002, Tolerating some redundancy significantly speeds up clustering of large protein databases, Protein Eng., 18, 77
Cited by
Cd-hit: Accelerated for clustering the next-generation sequencing data
Fu, L., Niu, B., Zhu, Z., Wu, S., & Li, W. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts565 · Cited by 11,175
Self-citationA core gut microbiome in obese and lean twins
Turnbaugh, P. J., Hamady, M., Yatsunenko, T., Cantarel, B. L., Duncan, A., Ley, R. E., Sogin, M. L., Jones, W. J., Roe, B. A., Affourtit, J. P., et al. (2009) · Nature · doi:10.1038/nature07540 · Cited by 7,823
KEGG as a reference resource for gene and protein annotation
Kanehisa, M., Sato, Y., Kawashima, M., Furumichi, M., & Tanabe, M. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1070 · Cited by 7,387
Dominguez-Bello, M. G., Costello, E. K., Contreras, M., Magris, M., Hidalgo, G., Fierer, N., & Knight, R. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1002601107 · Cited by 4,774
metaSPAdes: a new versatile metagenomic assembler
Nurk, S., Meleshko, D., Korobeynikov, A., & Pevzner, P. A. (2017) · Genome Research · doi:10.1101/gr.213959.116 · Cited by 4,496
Metadata
- Authors
- Li, W., & Godzik, A.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-05-26
- Volume
- 22
- Issue
- 13
- Pages
- 1658-1659
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2156125289
- Cited by
- 11,410
- References
- 3
- FWCI
- 30.70
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
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.
