Molecules-and-Gene-index

Keyword(s):  
1996 ◽  
Vol 6 (9) ◽  
pp. 829-845 ◽  
Author(s):  
J S Aaronson ◽  
B Eckman ◽  
R A Blevins ◽  
J A Borkowski ◽  
J Myerson ◽  
...  

1983 ◽  
Vol 23 (2) ◽  
pp. 169-182
Author(s):  
Dorit Carmelli ◽  
Edward Cameron
Keyword(s):  

2008 ◽  
Vol 1 (1) ◽  
pp. 15-21 ◽  
Author(s):  
Barbara Lazzari ◽  
Valentina Mariani ◽  
Roberto Malinverni ◽  
Andrea Caprera ◽  
Elisabetta Giuffra

Genetics ◽  
1987 ◽  
Vol 117 (4) ◽  
pp. 783-793
Author(s):  
Kermit Ritland

ABSTRACT Fixation indices summarize the associations between genes that arise from the joint effects of inbreeding and selection. In this paper, fixation indices are derived for pairs, triplets and quadruplets of genes at a single multiallelic locus. The fixation indices are obtained by dividing cumulants by constants; the cumulants describe the statistical distribution of alleles and the constants are functions of gene frequency. The use of cumulants instead of moments is necessary only for four-gene indices, when the fourth cumulant is used. A second type of four-gene index is also required, and this index is based upon the covariation of second-order cumulants. At multiallelic loci, a large number of indices is possible. If alleles are selectively neutral, the number of indices is reduced and the relationship between gene identity and gene cumulants is shown.—Two-gene indices can always be estimated from genotypic frequency data at a single polymorphic locus. Three-gene indices are also estimable except when allele frequency equals one-half. Four-gene indices are not estimable unless selection is assumed to have an equal effect upon each allele (such as under selective neutrality) and the locus contains at least three alleles of unequal frequency. For diallelic or selected loci, an alternative four- gene fixation index is proposed. This index incorporates both types of four-gene associations but cannot be related to gene identity.


2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Maurice H. T. Ling ◽  
Roel C. Rabara ◽  
Prateek Tripathi ◽  
Paul J. Rushton ◽  
Xijin Ge

Microarrays are a large-scale expression profiling method which has been used to study the transcriptome of plants under various environmental conditions. However, manual inspection of microarray data is difficult at the genome level because of the large number of genes (normally at least 30 000) and the many different processes that occur within any given plant. MapMan software, which was initially developed to visualize microarray data for Arabidopsis, has been adapted to other plant species by mapping other species onto MapMan ontology. This paper provides a detailed procedure and the relevant computing codes to generate a MapMan ontology mapping file for tobacco (Nicotiana tabacum L.) using potato and Arabidopsis as intermediates. The mapping file can be used directly with our custom-made NimbleGen oligoarray, which contains gene sequences from both the tobacco gene space sequence and the tobacco gene index 4 (NTGI4) collection of ESTs. The generated dataset will be informative for scientists working on tobacco as their model plant by providing a MapMan ontology mapping file to tobacco, homology between tobacco coding sequences and that of potato and Arabidopsis, as well as adapting our procedure and codes for other plant species where the complete genome is not yet available.


Author(s):  
M. Latterich ◽  
R.R.D. Croy
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document