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Institution

National Institutes of Health

GovernmentBethesda, Maryland, United States
About: National Institutes of Health is a(n) government organization based out in Bethesda, Maryland, United States. It is known for research contribution in the topic(s): Population & Receptor. The organization has 149298 authors who have published 297896 publication(s) receiving 21337431 citation(s). The organization is also known as: NIH & U.S. National Institutes of Health.

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Topics: Population, Receptor, Gene ...read more
Authors

Showing all 149298 results

NameH-indexPapersCitations
Walter C. Willett3342399413322
Eric S. Lander301826525976
Robert Langer2812324326306
Meir J. Stampfer2771414283776
JoAnn E. Manson2701819258509
Albert Hofman2672530321405
Frank B. Hu2501675253464
Paul M. Ridker2331242245097
Solomon H. Snyder2321222200444
Salim Yusuf2311439252912
Eugene Braunwald2301711264576
Ralph B. D'Agostino2261287229636
John Q. Trojanowski2261467213948
Steven A. Rosenberg2181204199262
Yi Chen2174342293080
Papers
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Journal ArticleDOI: 10.1016/S0022-2836(05)80360-2
Stephen F. Altschul1, Warren Gish1, Webb Miller2, Eugene W. Myers3  +1 moreInstitutions (3)
Abstract: A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straight-forward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.

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Topics: Substitution matrix (59%), Sim4 (58%), Alignment-free sequence analysis (57%) ...read more

81,150 Citations


Open accessJournal ArticleDOI: 10.1093/NAR/25.17.3389
Abstract: The BLAST programs are widely used tools for searching protein and DNA databases for sequence similarities. For protein comparisons, a variety of definitional, algorithmic and statistical refinements described here permits the execution time of the BLAST programs to be decreased substantially while enhancing their sensitivity to weak similarities. A new criterion for triggering the extension of word hits, combined with a new heuristic for generating gapped alignments, yields a gapped BLAST program that runs at approximately three times the speed of the original. In addition, a method is introduced for automatically combining statistically significant alignments produced by BLAST into a position-specific score matrix, and searching the database using this matrix. The resulting Position-Specific Iterated BLAST (PSIBLAST) program runs at approximately the same speed per iteration as gapped BLAST, but in many cases is much more sensitive to weak but biologically relevant sequence similarities. PSI-BLAST is used to uncover several new and interesting members of the BRCT superfamily.

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Topics: Substitution matrix (57%), Sequence database (54%), Sequence profiling tool (53%) ...read more

66,744 Citations


Journal ArticleDOI: 10.1016/0003-2697(87)90021-2
Piotr Chomczynski1, Nicoletta Sacchi1Institutions (1)
Abstract: A new method of total RNA isolation by a single extraction with an acid guanidinium thiocyanate-phenol-chloroform mixture is described. The method provides a pure preparation of undegraded RNA in high yield and can be completed within 4 h. It is particularly useful for processing large numbers of samples and for isolation of RNA from minute quantities of cells or tissue samples.

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65,324 Citations


Open accessJournal ArticleDOI: 10.1177/014662167700100306
Lenore Sawyer Radloff1Institutions (1)
Abstract: The CES-D scale is a short self-report scale designed to measure depressive symptomatology in the general population. The items of the scale are symptoms associated with depression which have been used in previously validated longer scales. The new scale was tested in household interview surveys and in psychiatric settings. It was found to have very high internal consistency and adequate test- retest repeatability. Validity was established by pat terns of correlations with other self-report measures, by correlations with clinical ratings of depression, and by relationships with other variables which support its construct validity. Reliability, validity, and factor structure were similar across a wide variety of demographic characteristics in the general population samples tested. The scale should be a useful tool for epidemiologic studies of de pression.

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44,791 Citations


Open accessJournal ArticleDOI: 10.1038/NMETH.2089
01 Jul 2012-Nature Methods
Abstract: For the past 25 years NIH Image and ImageJ software have been pioneers as open tools for the analysis of scientific images. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.

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Topics: Image processing (54%), Bioimage informatics (52%)

34,063 Citations


Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202297
202112,290
202012,261
201911,464
201810,991
201711,437

Top Attributes

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Institution's top 5 most impactful journals

Journal of Biological Chemistry

6.7K papers, 686.2K citations

PLOS ONE

3.6K papers, 151.4K citations

bioRxiv

3.1K papers, 16.6K citations

Blood

3K papers, 218.4K citations

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