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String (computer science)

About: String (computer science) is a research topic. Over the lifetime, 19430 publications have been published within this topic receiving 333247 citations. The topic is also known as: str & s.


Papers
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Journal ArticleDOI
13 Oct 1995-Science
TL;DR: The results suggest that the representation of different parts of the body in the primary somatosensory cortex of humans depends on use and changes to conform to the current needs and experiences of the individual.
Abstract: Magnetic source imaging revealed that the cortical representation of the digits of the left hand of string players was larger than that in controls. The effect was smallest for the left thumb, and no such differences were observed for the representations of the right hand digits. The amount of cortical reorganization in the representation of the fingering digits was correlated with the age at which the person had begun to play. These results suggest that the representation of different parts of the body in the primary somatosensory cortex of humans depends on use and changes to conform to the current needs and experiences of the individual.

1,821 citations

Journal ArticleDOI
TL;DR: STRING contains a unique scoring-framework based on benchmarks of the different types of associations against a common reference set, integrated in a single confidence score per prediction, facilitating the analysis of modularity in biological processes.
Abstract: Functional links between proteins can often be inferred from genomic associations between the genes that encode them: groups of genes that are required for the same function tend to show similar species coverage, are often located in close proximity on the genome (in prokaryotes), and tend to be involved in gene-fusion events. The database STRING is a precomputed global resource for the exploration and analysis of these associations. Since the three types of evidence differ conceptually, and the number of predicted interactions is very large, it is essential to be able to assess and compare the significance of individual predictions. Thus, STRING contains a unique scoring-framework based on benchmarks of the different types of associations against a common reference set, integrated in a single confidence score per prediction. The graphical representation of the network of inferred, weighted protein interactions provides a high-level view of functional linkage, facilitating the analysis of modularity in biological processes. STRING is updated continuously, and currently contains 261 033 orthologs in 89 fully sequenced genomes. The database predicts functional interactions at an expected level of accuracy of at least 80% for more than half of the genes; it is online at http://www.bork.embl-heidelberg.de/STRING/.

1,802 citations

Book
01 Aug 1983
TL;DR: In this paper, a mudflap assembly for use with a dump vehicle having dual tires at the rear end thereof and including a pair of flexible flap sections one of which is supported by a rigid member adjacent the dual tires and the other is located above and to the rear of the rigid member and is secured at its upper end to the dump body.
Abstract: A mudflap assembly for use with a dump vehicle having dual tires at the rear end thereof and including a pair of flexible flap sections one of which is supported by a rigid member adjacent the dual tires and the other is located above and to the rear of the rigid member and is secured at its upper end to the dump body. The rigid member is pivotally connected to the dump body and is combined with a cable which assures that the attached flap section maintains substantially the same position when the dump body is in the lowered-carry-position or raised-dump-position.

1,669 citations

Journal ArticleDOI
TL;DR: An on-line algorithm is presented for constructing the suffix tree for a given string in time linear in the length of the string, developed as a linear-time version of a very simple algorithm for (quadratic size) suffixtries.
Abstract: An on-line algorithm is presented for constructing the suffix tree for a given string in time linear in the length of the string. The new algorithm has the desirable property of processing the string symbol by symbol from left to right. It always has the suffix tree for the scanned part of the string ready. The method is developed as a linear-time version of a very simple algorithm for (quadratic size) suffixtries. Regardless of its quadratic worst case this latter algorithm can be a good practical method when the string is not too long. Another variation of this method is shown to give, in a natural way, the well-known algorithms for constructing suffix automata (DAWGs).

1,528 citations

Proceedings Article
01 Jan 2000
TL;DR: In this article, an inner product in the feature space consisting of all subsequences of length k was introduced for comparing two text documents, where a subsequence is any ordered sequence of k characters occurring in the text though not necessarily contiguously.
Abstract: We introduce a novel kernel for comparing two text documents. The kernel is an inner product in the feature space consisting of all subsequences of length k. A subsequence is any ordered sequence of k characters occurring in the text though not necessarily contiguously. The subsequences are weighted by an exponentially decaying factor of their full length in the text, hence emphasising those occurrences which are close to contiguous. A direct computation of this feature vector would involve a prohibitive amount of computation even for modest values of k, since the dimension of the feature space grows exponentially with k. The paper describes how despite this fact the inner product can be efficiently evaluated by a dynamic programming technique. A preliminary experimental comparison of the performance of the kernel compared with a standard word feature space kernel [6] is made showing encouraging results.

1,464 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20222
2021491
2020704
2019759
2018816
2017806