"Databases, Nucleic Acid" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Databases containing information about NUCLEIC ACIDS such as BASE SEQUENCE; SNPS; NUCLEIC ACID CONFORMATION; and other properties. Information about the DNA fragments kept in a GENE LIBRARY or GENOMIC LIBRARY is often maintained in DNA databases.
| Descriptor ID |
D030561
|
| MeSH Number(s) |
L01.313.500.750.300.188.400.300.500 L01.313.500.750.300.188.400.325.630 L01.470.750.750.300.500 L01.470.750.750.325.630
|
| Concept/Terms |
DNA Databases- DNA Databases
- DNA Database
- Database, DNA
- DNA Data Banks
- Bank, DNA Data
- Banks, DNA Data
- DNA Data Bank
- Data Bank, DNA
- Data Banks, DNA
- DNA Databanks
- DNA Databank
- Databank, DNA
- Databanks, DNA
- Databases, DNA
DNA Sequence Databases- DNA Sequence Databases
- DNA Sequence Database
- Database, DNA Sequence
- Sequence Database, DNA
- Sequence Databases, DNA
- Databases, DNA Sequence
RNA Sequence Databases- RNA Sequence Databases
- Database, RNA Sequence
- RNA Sequence Database
- Sequence Database, RNA
- Sequence Databases, RNA
- Databases, RNA Sequence
RNA Databases- RNA Databases
- Database, RNA
- RNA Database
- Databases, RNA
|
Below are MeSH descriptors whose meaning is more general than "Databases, Nucleic Acid".
- Information Science [L]
- Information Science [L01]
- Informatics [L01.313]
- Medical Informatics [L01.313.500]
- Medical Informatics Applications [L01.313.500.750]
- Information Systems [L01.313.500.750.300]
- Databases as Topic [L01.313.500.750.300.188]
- Databases, Factual [L01.313.500.750.300.188.400]
- Databases, Chemical [L01.313.500.750.300.188.400.300]
- Databases, Nucleic Acid [L01.313.500.750.300.188.400.300.500]
- Databases, Genetic [L01.313.500.750.300.188.400.325]
- Databases, Nucleic Acid [L01.313.500.750.300.188.400.325.630]
- Information Storage and Retrieval [L01.470]
- Databases as Topic [L01.470.750]
- Databases, Factual [L01.470.750.750]
- Databases, Chemical [L01.470.750.750.300]
- Databases, Nucleic Acid [L01.470.750.750.300.500]
- Databases, Genetic [L01.470.750.750.325]
- Databases, Nucleic Acid [L01.470.750.750.325.630]
Below are MeSH descriptors whose meaning is more specific than "Databases, Nucleic Acid".
This graph shows the total number of publications written about "Databases, Nucleic Acid" by people in this website by year, and whether "Databases, Nucleic Acid" was a major or minor topic of these publications.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2002 | 1 | 2 | 3 |
| 2004 | 0 | 3 | 3 |
| 2005 | 0 | 3 | 3 |
| 2006 | 0 | 2 | 2 |
| 2007 | 0 | 1 | 1 |
| 2008 | 1 | 1 | 2 |
| 2009 | 0 | 1 | 1 |
| 2010 | 1 | 0 | 1 |
| 2016 | 1 | 1 | 2 |
| 2018 | 1 | 1 | 2 |
| 2019 | 1 | 1 | 2 |
| 2021 | 1 | 0 | 1 |
| 2022 | 1 | 1 | 2 |
To return to the timeline,
click here.
Below are the most recent publications written about "Databases, Nucleic Acid" by people in Profiles.
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Furstenau TN, Schneider T, Shaffer I, Vazquez AJ, Sahl J, Fofanov V. MTSv: rapid alignment-based taxonomic classification and high-confidence metagenomic analysis. PeerJ. 2022; 10:e14292.
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Narv?ez-Bandera I, Su?rez-G?mez D, Isaza CE, Cabrera-R?os M. Multiple Criteria Optimization (MCO): A gene selection deterministic tool in RStudio. PLoS One. 2022; 17(1):e0262890.
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Tarek M, Abdelzaher H, Kobeissy F, El-Fawal HAN, Salama MM, Abdelnaser A. Bioinformatics Analysis of Allele Frequencies and Expression Patterns of ACE2, TMPRSS2 and FURIN in Different Populations and Susceptibility to SARS-CoV-2. Genes (Basel). 2021 Jul 05; 12(7).
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Moore RA, Zeng T, Docking TR, Bosdet I, Butterfield YS, Munro S, Li I, Swanson L, Starks ER, Tse K, Mungall AJ, Holt RA, Karsan A. Sample Tracking Using Unique Sequence Controls. J Mol Diagn. 2020 02; 22(2):141-146.
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Piyarathna DWB, Balasubramanian A, Arnold JM, Lloyd SM, Karanam B, Castro P, Ittmann MM, Putluri N, Navone N, Jones JA, Yu W, Sandulache VC, Sikora AG, Michailidis G, Sreekumar A. ERR1 and PGC1a associated mitochondrial alterations correlate with pan-cancer disparity in African Americans. J Clin Invest. 2019 03 28; 129(6):2351-2356.
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Ching T, Zhu X, Garmire LX. Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data. PLoS Comput Biol. 2018 04; 14(4):e1006076.
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Gong J, Shao D, Xu K, Lu Z, Lu ZJ, Yang YT, Zhang QC. RISE: a database of RNA interactome from sequencing experiments. Nucleic Acids Res. 2018 01 04; 46(D1):D194-D201.
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Jeong HH, Yalamanchili HK, Guo C, Shulman JM, Liu Z. An ultra-fast and scalable quantification pipeline for transposable elements from next generation sequencing data. Pac Symp Biocomput. 2018; 23:168-179.
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Ching T, Garmire LX. Pan-cancer analysis of expressed somatic nucleotide variants in long intergenic non-coding RNA. Pac Symp Biocomput. 2018; 23:512-523.
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Mei S, Zhang K. Computational discovery of Epstein-Barr virus targeted human genes and signalling pathways. Sci Rep. 2016 07 29; 6:30612.