Inferences from Genetics

Clark AG, Weiss KM, Nickerson DA, Taylor SL, Buchanan A, Stengard J et al. Haplotype structure and population genetic inferences from nucleotide-sequence variation in human lipoprotein lipase. Am J Hum Genet 1998 63 595— 612. 

Clark, A. G., Weiss, K. M., Nickerson, D. A., Taylor, S. L., Buchanan, A., Stengard, J., Salomaa, V., Virtianen, E., Perola, M., Boerwinkle, E., and Sing, C. F. (1998). Haplo-type structure and population genetic inferences from Nucleotide-sequence variation in human lipoprotein lipase. Am. J. Hum. Genet. 63, 595-612. 

General rules are not easy to infer from the existing literature, especially concerning particle production, since most of the fiterature reports deal only with genetic requirements for particle formation and have not investigated the effect of nutrient levels on particle productivity. Also, in most of the cases the process was not intended for industrial application, and the use of serum containing medium at laboratory scale is still ubiquitous. 

Although the natural products of aromatic PKSs can be much more challenging to predict, their enzymes are much smaller and are often considered to be more tractable to routine heterologous expression, genetic modification and protein structure determination. Indeed, because large modular systems are so much more difficult to work with in vitro, much of what we now know about modular systems has been inferred from direct analogy to biochemical studies of aromatic systems. Aromatic PKSs can now be classified into several specialised families based upon both chemical product type and domain structure. Notably, NRPS analogues of the aromatic PKSs have not been observed. 

Gu Z, Nicolae D, Lu HH, Li W-H (2002) Rapid divergence in expression between duplicate genes inferred from microarray data. Trends Genet 18 609-613... 

Where genetic testing is based on linked genetic markers, the report should indicate the false-negative and falsepositive rates arising from recombination between the test locus and the disease locus. This can be inferred from the known genetic distance between the loci. 

Silvescu A. and Honavar V. (2001). Temporal Boolean network models of genetic networks and their inference from gene expression time series. Complex Systems. 13, pp 54-70. 

As the genetic network expands, complexes and pathways are expected to show a unique pattern of genetic interactions, whereas the molecular function of previously uncharacterized genes can be thus inferred from the connectivity and the position within the network. 

D haeseleer, R, S. Liang, and R. Somogyi. 2000. Genetic network inference From coexpression clustering to reverse engineering. Bioinformatics 16 707-26. 

Takahashi, N., Takahashi, Y., Blumberg, B.S., and Putman, F.W. Amino acid substitutions in genetic variants of human serum albumin and in sequences inferred from molecular cloning. Proceedings of the National Academy of Science USA 1987 84 4413-4417. 

---