The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.
DEG 10, an update of the database of essential genes that includes both protein-coding genes and noncoding genomic elements: Table 1.
Open accessAbstract
The combination of high-density transposon-mediated mutagenesis and high-throughput sequencing has led to significant advancements in research on essential genes, resulting in a dramatic increase in the number of identified prokaryotic essential genes under diverse conditions and a revised essential-gene concept that includes all essential genomic elements, rather than focusing on protein-coding genes only. DEG 10, a new release of the Database of Essential Genes (available at http://www.essentialgene.org), has been developed to accommodate these quantitative and qualitative advancements. In addition to increasing the number of bacterial and archaeal essential genes determined by genome-wide gene essentiality screens, DEG 10 also harbors essential noncoding RNAs, promoters, regulatory sequences and replication origins. These essential genomic elements are determined not only in vitro, but also in vivo, under diverse conditions including those for survival, pathogenesis and antibiotic resistance. We have developed customizable BLAST tools that allow users to perform species- and experiment-specific BLAST searches for a single gene, a list of genes, annotated or unannotated genomes. Therefore, DEG 10 includes essential genomic elements under different conditions in three domains of life, with customizable BLAST tools.
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
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
Altschul, S. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.17.3389 · Cited by 73,302
Construction of Escherichia coli K‐12 in‐frame, single‐gene knockout mutants: the Keio collection
Baba, T., Ara, T., Hasegawa, M., Takai, Y., Okumura, Y., Baba, M., Datsenko, K. A., Tomita, M., Wanner, B. L., & Mori, H. (2006) · Molecular Systems Biology · doi:10.1038/msb4100050 · Cited by 7,858
Towards a natural system of organisms: proposal for the domains Archaea, Bacteria, and Eucarya.
Woese, C. R., Kandler, O., & Wheelis, M. L. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.12.4576 · Cited by 6,128
Biopython: freely available python tools for computational molecular biology and bioinformatics
Cock, P. J. A., Antao, T., Chang, J. T., Chapman, B. A., Cox, C. J., Dalke, A., Friedberg, I., Hamelryck, T., Kauff, F., Wilczynski, B., et al. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp163 · Cited by 6,080
Functional profiling of the Saccharomyces cerevisiae genome
Giaever, G., Chu, A. M., Ni, L., Connelly, C., Riles, L., Véronneau, S., Dow, S., Lucau-Danila, A., Anderson, K., André, B., et al. (2002) · Nature · doi:10.1038/nature00935 · Cited by 4,316
Systematic functional analysis of the Caenorhabditis elegans genome using RNAi
Kamath, R. S., Fraser, A. G., Dong, Y., Poulin, G., Durbin, R., Gotta, M., Kanapin, A., Le Bot, N., Moreno, S., Sohrmann, M., et al. (2003) · Nature · doi:10.1038/nature01278 · Cited by 3,616
Identifying bacterial genes and endosymbiont DNA with Glimmer
Delcher, A. L., Bratke, K. A., Powers, E. C., & Salzberg, S. L. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm009 · Cited by 3,134
Genes required for mycobacterial growth defined by high density mutagenesis
Sassetti, C. M., Boyd, D. H., & Rubin, E. J. (2003) · Molecular Microbiology · doi:10.1046/j.1365-2958.2003.03425.x · Cited by 2,544
Oceanic Methane Biogeochemistry
Reeburgh, W. S. (2007) · Chemical Reviews · doi:10.1021/cr050362v · Cited by 1,575
Essential Bacillus subtilis genes
Kobayashi, K., Ehrlich, S. D., Albertini, A., Amati, G., Andersen, K. K., Arnaud, M., Asai, K., Ashikaga, S., Aymerich, S., Bessieres, P., et al. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0730515100 · Cited by 1,328
Cited by
Generation of genome-scale metabolic reconstructions for 773 members of the human gut microbiota
Magnúsdóttir, S., Heinken, A., Kutt, L., Ravcheev, D. A., Bauer, E., Noronha, A., Greenhalgh, K., Jäger, C., Baginska, J., Wilmes, P., et al. (2017) · Nature Biotechnology · doi:10.1038/nbt.3703 · Cited by 798
Vallenet, D., Calteau, A., Dubois, M., Amours, P., Bazin, A., Beuvin, M., Burlot, L., Bussell, X., Fouteau, S., Gautreau, G., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz926 · Cited by 346
Vinayagam, A., Gibson, T. E., Lee, H.-J., Yilmazel, B., Roesel, C., Hu, Y., Kwon, Y., Sharma, A., Liu, Y.-Y., Perrimon, N., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1603992113 · Cited by 257
Yeast metabolic innovations emerged via expanded metabolic network and gene positive selection
Lu, H., Li, F., Yuan, L., Domenzain, I., Yu, R., Wang, H., Li, G., Chen, Y., Ji, B., Kerkhoven, E. J., et al. (2021) · Molecular Systems Biology · doi:10.15252/msb.202110427 · Cited by 44
Massively targeted evaluation of therapeutic CRISPR off-targets in cells
Pan, X., Qu, K., Yuan, H., Xiang, X., Anthon, C., Pashkova, L., Liang, X., Han, P., Corsi, G. I., Xu, F., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-31543-6 · Cited by 42
Metadata
- Authors
- Luo, H., Lin, Y., Gao, F., Zhang, C.-T., & Zhang, R.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-11-15
- Volume
- 42
- Issue
- D1
- Pages
- D574-D580
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2113140044
- Cited by
- 530
- References
- 75
- FWCI
- 20.03
- Type
- journal article
- Language
- en
- Open access
- gold
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: DEG 10, an update of the database of essential genes that includes both protein-coding genes and noncoding genomic elements: Table 1. https://app.cochat.ai/papers/10.1093/nar/gkt1131
- The paper
- Luo, H., Lin, Y., Gao, F., Zhang, C.-T., & Zhang, R. (2014). DEG 10, an update of the database of essential genes that includes both protein-coding genes and noncoding genomic elements: Table 1. Nucleic Acids Research. https://doi.org/10.1093/nar/gkt1131
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.