Databases, Nucleic Acid

"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.

MeSH information

Definition | Details | More General Concepts | Related Concepts | More Specific Concepts

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	Databases, Nucleic Acid Databases, Nucleic Acid Database, Nucleic Acid Nucleic Acid Database Nucleic Acid Databases 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 GenBank GenBank Nucleic Acid Sequence Databases Nucleic Acid Sequence Databases Databases, Nucleic Acid Sequence RNA Databases RNA Databases Database, RNA RNA Database Databases, RNA DNA Data Bank of Japan DNA Data Bank of Japan DDBJ European Molecular Biology Laboratory Nucleotide Sequence Database European Molecular Biology Laboratory Nucleotide Sequence Database EMBL Nucleotide Sequence Database

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 related to "Databases, Nucleic Acid".

Below are MeSH descriptors whose meaning is more specific than "Databases, Nucleic Acid".

publications

Timeline | Most Recent

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.

Bar chart showing 23 publications over 12 distinct years, with a maximum of 3 publications in 2002 and 2004 and 2005

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
2022	1	0	1

Below are the most recent publications written about "Databases, Nucleic Acid" by people in Profiles.

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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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.

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Seffens W, Abebe F, Evans C, Wang XQ. Spatial Partitioning of miRNAs Is Related to Sequence Similarity in Overall Transcriptome. Int J Mol Sci. 2016 Jun 08; 17(6).

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Meschia JF, Arnett DK, Ay H, Brown RD, Benavente OR, Cole JW, de Bakker PI, Dichgans M, Doheny KF, Fornage M, Grewal RP, Gwinn K, Jern C, Conde JJ, Johnson JA, Jood K, Laurie CC, Lee JM, Lindgren A, Markus HS, McArdle PF, McClure LA, Mitchell BD, Schmidt R, Rexrode KM, Rich SS, Rosand J, Rothwell PM, Rundek T, Sacco RL, Sharma P, Shuldiner AR, Slowik A, Wassertheil-Smoller S, Sudlow C, Thijs VN, Woo D, Worrall BB, Wu O, Kittner SJ. Stroke Genetics Network (SiGN) study: design and rationale for a genome-wide association study of ischemic stroke subtypes. Stroke. 2013 Oct; 44(10):2694-702.

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