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pro vyhledávání: '"Hatton, Les"'
Autor:
Hopkins, Tim, Hatton, Les
Software engineering is not an empirically based discipline. Consequently, many of its practices are based on little more than a generally agreed feeling that something may be true. Part of the problem is that it is both relatively young and unusuall
Externí odkaz:
http://arxiv.org/abs/1912.04014
Autor:
Hatton, Les, Warr, Gregory
A mechanism-free and symbol-agnostic conservation principle, the Conservation of Hartley-Shannon Information (CoHSI) is predicted to constrain the structure of discrete systems regardless of their origin or function. Despite their distinct provenance
Externí odkaz:
http://arxiv.org/abs/1902.09360
Akademický článek
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Autor:
Hatton, Les, Warr, Gregory
In previous papers we have described with strong experimental support, the organising role that CoHSI (Conservation of Hartley-Shannon Information) plays in determining important global properties of all known proteins, from defining the length distr
Externí odkaz:
http://arxiv.org/abs/1811.02526
Autor:
Hatton, Les, Warr, Gregory
The length distribution of proteins measured in amino acids follows the CoHSI (Conservation of Hartley-Shannon Information) probability distribution. In previous papers we have verified various predictions of this using the Uniprot database but here
Externí odkaz:
http://arxiv.org/abs/1810.08614
Autor:
Hatton, Les, Warr, Gregory
The CoHSI (Conservation of Hartley-Shannon Information) distribution is at the heart of a wide-class of discrete systems, defining (amongst other properties) the length distribution of their components. Discrete systems such as the known proteome, co
Externí odkaz:
http://arxiv.org/abs/1807.11076
CoHSI I; Detailed properties of the Canonical Distribution for Discrete Systems such as the Proteome
Autor:
Hatton, Les, Warr, Gregory
The CoHSI (Conservation of Hartley-Shannon Information) distribution is at the heart of a wide-class of discrete systems, defining the length distribution of their components amongst other global properties. Discrete systems such as the known proteom
Externí odkaz:
http://arxiv.org/abs/1806.08785
Autor:
Hatton, Les, Warr, Gregory
We begin with the extraordinary observation that the length distribution of 80 million proteins in UniProt, the Universal Protein Resource, measured in amino acids, is qualitatively identical to the length distribution of large collections of compute
Externí odkaz:
http://arxiv.org/abs/1709.01712
Akademický článek
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Publikováno v:
IEEE Software; September 2024, Vol. 41 Issue: 5 p83-86, 4p
