• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • Donate

CiteSeerX logo

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 11 - 20 of 2,143
Next 10 →

Table 1: The genetic code

in a Integrative Bioinformatics Unit, Universiteit van Amsterdam
by B Computer Systems Architecture Group
"... In PAGE 3: ... A codon codes for an amino acid in a unique way. This is called the genetic code (see Table1 ). So, an mRNA, as sequence of codons, codes for a sequence of amino acids, i.... ..."

Table 3: Genetic Parameters

in unknown title
by unknown authors 1999
"... In PAGE 5: ... The RT- level circuit descriptions, needed during ATPG, are generated using of the high-level testable synthesis tool MACH [10]. Table3 summarizes the genetic parameter values that were used in the experiments. Three different ver- sions of the ATPG have been realized, based on differ- ent uses of the fitness functions introduced in Section 2.... ..."
Cited by 3

Table 2: The genetic code.

in Recommended citation:
by Frans Voorbraak, Medical Informatics 1998
"... In PAGE 6: ... There is a single character code for the amino acids found in proteins, but also a three character code, where the amino acids are roughly represented by the beginnings of their full names. See Table2 (The amino acids and their codes) for a list of the amino acids and both their codes. A sequence of three successive RNA nucleotides is called a codon and can encode one of the 20 amino acids found in proteins or the signal to stop translation of RNA into a protein.... In PAGE 6: ... A sequence of three successive RNA nucleotides is called a codon and can encode one of the 20 amino acids found in proteins or the signal to stop translation of RNA into a protein. The so-called genetic code, relating codons to their associated amino acid is summarized in Table2 (The genetic code). For example, the codon UCG encodes the amino acid serin.... ..."

Table 1: Genetic parameters

in Optimal Hardware Pattern Generation for Functional BIST
by Silvia Cataldo Silvia, Silvia Chiusano, Paolo Prinetto 2000
"... In PAGE 4: ... Moreover, the Sunrise fault coverage represents a reference value to assess the quality of the GATSBY solutions. Table1 reports the genetic parameters used to set up the experiments with GATSBY. The Table shows the number of generations, and the number of new individuals created by crossover, mutation and using the instrumented test set.... In PAGE 4: ... In particular, for the c7552 and the s1494 circuits, our tool outperforms the Sunrise test set fault coverage. Table1 also reports the test length reduction obtained simulating the triplets in reverse order: the improvements are significant and range from 2% to 54%. Two additional figures allows to deeply analyze the results of Table 2.... ..."
Cited by 6

Table 1. Genetic characteristics of

in Departamentod
by Biolog Animal Universid, R. F. A. Moritz
"... In PAGE 2: ... The loci that were studied only in Murcia (A35) or in the other populations but not in Murcia (A43) were not included in the analysis. Results Genetic diversity The number of alleles per locus varied between 10 (loci A113 and A35) and 4 (loci A8 and A28) ( Table1 ). Mean expected and observed heterozygosity for all apiaries and loci ranged from 0.... ..."

Table 3: Genetic Parameters

in unknown title
by unknown authors
"... In PAGE 5: ... The RT- level circuit descriptions, needed during ATPG, are generated using of the high-level testable synthesis tool MACH [10]. Table3 summarizes the genetic parameter values that were used in the experiments. Three different ver- sions of the ATPG have been realized, based on differ- ent uses of the fitness functions introduced in Section 2.... ..."

Table 1 : Genetic parameters

in Optimal Hardware Pattern Generation for Functional BIST
by Silvia Cataldo Silvia, Silvia Chiusano, Paolo Prinetto 2000
"... In PAGE 4: ... In particular, for the c7552 and the s1494 circuits, our tool outperforms the Sunrise test set fault coverage. Table1 also reports the test length reduction obtained simulating the triplets in reverse order: the improvements are significant and range from 2% to 54%. Two additional figures allows to deeply analyze the results of Table 2 .... ..."
Cited by 6

Table 1 - Genetic structure

in Gaia: An Artificial Life Environment for Ecological Systems Simulation
by Nuno Gracias, Henrique Pereira, Agostinho Rosa 1996
Cited by 6

Table 1: The Genetic Code

in Evolutionary Neural Networks for Time Series Prediction based on L-system and DNA Coding Method
by Ki-Youl Lee, Dong-wook Lee, Kee-bo Sim

Table 1: The genetic operators.

in On the Impact of Modelling, Robustness, and Diversity to the Performance of a Multi-Objective Evolutionary Algorithm for Digital VLSI System Design
by Robert Thomson, Tughrul Arslan
Next 10 →
Results 11 - 20 of 2,143
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2016 The Pennsylvania State University