The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
The IMG/M data management and analysis system v.6.0: new tools and advanced capabilities
Open accessAbstract
The Integrated Microbial Genomes & Microbiomes system (IMG/M: https://img.jgi.doe.gov/m/) contains annotated isolate genome and metagenome datasets sequenced at the DOE’s Joint Genome Institute (JGI), submitted by external users, or imported from public sources such as NCBI. IMG v 6.0 includes advanced search functions and a new tool for statistical analysis of mixed sets of genomes and metagenome bins. The new IMG web user interface also has a new Help page with additional documentation and webinar tutorials to help users better understand how to use various IMG functions and tools for their research. New datasets have been processed with the prokaryotic annotation pipeline v.5, which includes extended protein family assignments.
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Discovering Statistics Using SPSS
Field, A. P., & Miles, J. N. V. (2000) · Medical Entomology and Zoology · Cited by 28,265
On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
Mann, H. B., & Whitney, D. R. (1947) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177730491 · Cited by 14,320
Prodigal: prokaryotic gene recognition and translation initiation site identification
Hyatt, D., Chen, G.-L., LoCascio, P. F., Land, M. L., Larimer, F. W., & Hauser, L. J. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-119 · Cited by 12,587
Parks, D. H., Imelfort, M., Skennerton, C. T., Hugenholtz, P., & Tyson, G. W. (2015) · Genome Research · doi:10.1101/gr.186072.114 · Cited by 12,496
KEGG: new perspectives on genomes, pathways, diseases and drugs
Kanehisa, M., Furumichi, M., Tanabe, M., Sato, Y., & Morishima, K. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkw1092 · Cited by 8,865
GTDB-Tk: a toolkit to classify genomes with the Genome Taxonomy Database
Chaumeil, P.-A., Mussig, A. J., Hugenholtz, P., & Parks, D. H. (2020) · Bioinformatics · doi:10.1093/bioinformatics/btz848 · Cited by 5,259
The Pfam protein families database in 2019
El-Gebali, S., Mistry, J., Bateman, A., Eddy, S. R., Luciani, A., Potter, S. C., Qureshi, M., Richardson, L. J., Salazar, G. A., Smart, A., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky995 · Cited by 4,602
THE GENERALIZATION OF ‘STUDENT'S’ PROBLEM WHEN SEVERAL DIFFERENT POPULATION VARLANCES ARE INVOLVED
WELCH, B. L. (1947) · Biometrika · doi:10.1093/biomet/34.1-2.28 · Cited by 4,135
Infernal 1.1: 100-fold faster RNA homology searches
Nawrocki, E. P., & Eddy, S. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt509 · Cited by 3,591
Caspi, R., Billington, R., Ferrer, L., Foerster, H., Fulcher, C. A., Keseler, I. M., Kothari, A., Krummenacker, M., Latendresse, M., Mueller, L. A., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1164 · Cited by 3,395
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Camargo, A. P., Nayfach, S., Chen, I.-M. A., Palaniappan, K., Ratner, A., Chu, K., Ritter, S. J., Reddy, T. B. K., Mukherjee, S., Schulz, F., et al. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkac1037 · Cited by 446
Self-citationCharacterizing the mucin-degrading capacity of the human gut microbiota
Glover, J. S., Ticer, T. D., & Engevik, M. A. (2022) · Scientific Reports · doi:10.1038/s41598-022-11819-z · Cited by 307
Improved protein structure prediction by deep learning irrespective of co-evolution information
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Discovery of phage determinants that confer sensitivity to bacterial immune systems
Stokar-Avihail, A., Fedorenko, T., Hör, J., Garb, J., Leavitt, A., Millman, A., Shulman, G., Wojtania, N., Melamed, S., Amitai, G., et al. (2023) · Cell · doi:10.1016/j.cell.2023.02.029 · Cited by 176
Metadata
- Authors
- Chen, I.-M. A., Chu, K., Palaniappan, K., Ratner, A., Huang, J., Huntemann, M., Hajek, P., Ritter, S., Varghese, N., Seshadri, R., Roux, S., Woyke, T., Eloe-Fadrosh, E. A., Ivanova, N. N., & Kyrpides, N. C.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-10-29
- Volume
- 49
- Issue
- D1
- Pages
- D751-D763
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W3097021932
- Cited by
- 445
- References
- 47
- FWCI
- 23.79
- Type
- journal article
- Language
- en
- Open access
- gold
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- Chen, I.-M. A., Chu, K., Palaniappan, K., Ratner, A., Huang, J., Huntemann, M., Hajek, P., Ritter, S., Varghese, N., Seshadri, R., Roux, S., Woyke, T., Eloe-Fadrosh, E. A., Ivanova, N. N., & Kyrpides, N. C. (2021). The IMG/M data management and analysis system v.6.0: new tools and advanced capabilities. Nucleic Acids Research. https://doi.org/10.1093/nar/gkaa939
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