Drawing Feynman Diagrams with LaTeX and Metafont

Feynmf is a LaTeX package for easy drawing of professional quality Feynman diagrams with Metafont (or Metapost). Feynmf lays out most diagrams satisfactorily from the structure of the graph without any need for manual intervention. Nevertheless all the power of Metafont (or Metapost) is available for the most complicated cases.Comment: 19 pages, standard LaTeX2e with recent graphics and amstex packages, 45 figures (EPS), preformatted PostScript (300dpi) in ftp://crunch.ikp.physik.th-darmstadt.de/pub/preprints/IKDA-95-20.ps.g

Extreme Makeover: Bending the Rules to Reduce Risk Rewriting Complex Systems

Abstract. We describe our experience using XP to reimplement sophisticated, high-performance imaging software in a research environment. We focus espe-cially on practices we used to derive value from the existing software, notably reimplementation by ransacking and conversion as learning. Our experience suggests that some of the classic 12 practices which define XP should be ad-justed when there is a existing, well-structured system to serve as a guide.

iQuantitator: A tool for protein expression inference using iTRAQ

<p>Abstract</p> <p>Background</p> <p>Isobaric Tags for Relative and Absolute Quantitation (iTRAQ™) [Applied Biosystems] have seen increased application in differential protein expression analysis. To facilitate the growing need to analyze iTRAQ data, especially for cases involving multiple iTRAQ experiments, we have developed a modeling approach, statistical methods, and tools for estimating the relative changes in protein expression under various treatments and experimental conditions.</p> <p>Results</p> <p>This modeling approach provides a unified analysis of data from multiple iTRAQ experiments and links the observed quantity (reporter ion peak area) to the experiment design and the calculated quantity of interest (treatment-dependent protein and peptide fold change) through an additive model under log transformation. Others have demonstrated, through a case study, this modeling approach and noted the computational challenges of parameter inference in the unbalanced data set typical of multiple iTRAQ experiments. Here we present the development of an inference approach, based on hierarchical regression with batching of regression coefficients and Markov Chain Monte Carlo (MCMC) methods that overcomes some of these challenges. In addition to our discussion of the underlying method, we also present our implementation of the software, simulation results, experimental results, and sample output from the resulting analysis report.</p> <p>Conclusion</p> <p>iQuantitator's process-based modeling approach overcomes limitations in current methods and allows for application in a variety of experimental designs. Additionally, hypertext-linked documents produced by the tool aid in the interpretation and exploration of results.</p

Adobe photodeluxe [CD}/ Adobe Systems Incorporated

18,3 MB; 40 file