ml‐relate: a computer program for maximum likelihood estimation of relatedness and relationship

Genetic data are useful for estimating the genealogical relationship or relatedness between individuals of unknown ancestry. We present a computer program, ml ‐relate that calculates maximum likelihood estimates of relatedness and relationship. ml ‐relate is designed for microsatellite data and can accommodate null alleles. It uses simulation to determine which relationships are consistent with genotype data and to compare putative relationships with alternatives. ml ‐relate runs on the Microsoft Windows operating system and is available from http://www.montana.edu/kalinowski .     

An Environmentally Conscious Decision Support System for Life-Cycle Management

An Internet-based environmentally conscious decision support tool (EcoDS) has been developed for life-cycle management EcoDS involves an initial vertical streamlining step, where the significant life-cycle stages, stressors, and impact categories are selected and cross-correlated. Because the streamlining is performed prior to the inventory, the approach expedites data collection. Comparisons among alternative product designs or manufacturing processes are based on two metrics: financial risk (or cost) and "residual" risk. For purposes of evaluation these two indicators are individually aggregated using a user or organization-specified value system. A salient feature of EcoDS is that this output can be condensed into a single summary matrix akin to a hybrid pro forma income statement and environmental balance sheet. The clear delineation between the tradeoffs involved in each alternative facilitates decision making by upper management. A case study on painting attematives is presented to illustrate the methodology     

Individual scale factor approach for the vibrational circular dichroism similarity-guided spectral and conformational analysis of perezone and dihydroperezone

Evaluation of DFT calculated vibrational parameters for the IR and VCD spectra similarity of perezone ( 1 ) and dihydroperezone ( 2 ) was undertaken. Conformational sets were obtained using different search engines, and the parameters needed for spectra prediction were obtained using several combinations of commonly employed functionals and basis sets, and then weighted spectra were generated and compared with observed traces to provide infrared similarity (S_IR) and enantiomeric similarity index (ESI) values. These values evidenced a poor performance of the evaluated levels of theory that were overcome when using the individual scaling factors approach, providing 16% to 139% increases of the ESI values. The best performing level of theory was the B3LYP/DGDZVP2 with ESI values of 0.722 and 0.792 for 1 and 2 . Moreover, a correlation analysis showed that the irregular DFT performance arises from rotational strength deviations, which suggests to discard conformational abundance accuracy as the main source of differences. Furthermore, a similarity guided conformational analysis showed that conformations with high ESI values prefer particular orientations of the C C bonds directly attached to the stereogenic carbon atom, with more distant dihedral angles having less influence. Additionally, folded and extended conformers appear to be equally capable to yield high individual ESI values, although abundances of folded conformers just account for 16% of the total population. Nevertheless, abundance optimization showed that a high ESI similarity value of 0.834, is possible when the population of these conformers is increased to 26%, suggesting that a larger abundance of these conformers might be present in solution.     

Application of satellite data for investigation of dynamic processes in inland water bodies: Lake Shira (Khakasia, Siberia), a case study

This work describes avenues to use satellite information to analyse dynamic processes in aquatic ecosystems. Information for this analysis, was retrieved from AVHRR satellite sensor data. This information consisteds of time series of images of radiation temperature and turbidity. We expect this information will be of great value in analysing inland water bodies. Methods to process satellite information using original software and data processing techniques are proposed. For the investigation of the process and analyses of satellite information Shira Lake (Khakasia, Siberia) was used as a case study. To study the variability of the surface temperature and turbidity of the Lake in summer, the satellite and ground-truth data of the lake was applied. This study represents the first evaluation of the dynamic processes for Lake Shira based on satellite, ground-truth and modelling data. We developed algorithms and software to process satellite images to enable the reconstruction of time dependence of temperature and spectral reflectance of water bodies in the visible range, and to make computer-animated films visualising the spatial and temporal dynamics of the study parameters. The analyses of morphometric, meteorological and hydrological characteristics of Lake Shira have provided a realistic opportunity for processing the satellite information and to develop numerical models of variability of the hydrological regime of the lake. The results obtained demonstrate the feasibility of systematically retrieving the spatial information from the satellite data on the dynamics of the surface water temperature and of the suspended matter in the lake.     

A comprehensive software suite for the analysis of cDNAs

We have developed a comprehensive software suite for bioinformatics research of cDNAs; it is aimed at rapid characterization of the features of genes and the proteins they code. Methods implemented include the detection of translation initia- tion and termination signals, statistical analysis of codon usage, comparative study of amino acid composition, comparative modeling of the structures of product proteins, prediction of alternative splice forms, and metabolic pathway reconstruction. The software package is freely available under the GNU General Public License at http： / /www.g-language.org/ data/cdna/.     

High Throughput Screening of Gene Expression Signatures

This paper focuses on microarray image analysis and discusses a completely automated approach to image processing, which eliminates human intervention. A system for automated image processing is described, which is capable of processing image files in a batch-mode thus allowing high-throughput of microarray image analysis. Grid-placement and spot finding are achieved without operator's help. The software eliminates noise signals from the data analysis process and minimizes operator's involvement in the procedure.     

Stability analysis of pathogen-immune interaction dynamics

The paper considers models of dynamics of infectious disease in vivo from the standpoint of the mathematical analysis of stability. The models describe the interaction of the target cells, the pathogens, and the humoral immune response. The paper mainly focuses on the interior equilibrium, whose components are all positive. If the model ignores the absorption of the pathogens due to infection, the interior equilibrium is always asymptotically stable. On the other hand, if the model does consider it, the interior equilibrium can be unstable and a simple Hopf bifurcation can occur. A sufficient condition that the interior equilibrium is asymptotically stable is obtained. The condition explains that the interior equilibrium is asymptotically stable when experimental parameter values are used for the model. Moreover, the paper considers the models in which uninfected cells are involved in the immune response to pathogens, and are removed by the immune complexes. The effect of the involvement strongly affects the stability of the interior equilibria. The results are shown with the aid of symbolic calculation software.     

Chromatographic resolution of glucosidic compounds, ginsenosides on polyethersulphone membrane, and its application to the quantitative immunoassay for ginseng saponins

A method has been devised for the chromatographic resolution of glucosidic compounds, ginseng saponins, on polyethersulphone (PES) membrane. The method results in good resolution and quantitative immunoassay for ginsenoside Rb1 (G-Rb1), G-Rc, and G-Rd in crude extracts of various ginsengs. The newly established method is simpler and applies for quantitative analysis. Ginsenosides developed by acetonitrile-water-acetic acid solvent system on a PES membrane were directly treated with a NaIO4 solution followed by bovine serum albumin (BSA), resulting in a ginsenoside-BSA conjugate on a PES membrane. Anti-G-Rb1 monoclonal antibody (MAb) was bound, and then a second antibody labeled with peroxidase directed against the first antibody. Finally a substrate reacted to the enzyme and gave staining. The stained membrane was scanned, and spots were analyzed quantitatively using NIH Image software. At least 62.5 ng of G-Rb1, G-Rc, and G-Rd were clearly detectable individually. Three ginsenosides can be analyzed quantitatively between 0.125 and 2.0 microg.     

智能化鼠多功能行为训练系统的研究

目的：研制一种微机控制的大鼠多功能行为训练检测系统－梯度电压自动驱动大鼠及微机适时显示,记录和分析实验结果。方法：采用仿windows界面,以TurboC2．0编制,利用TC直接对硬件端口操作,完成信号的采集,处理和对实验仪器的控制。结果：本系统实现了：①梯度电压自动驱动;②声,光,电不同条件刺激;③多路径自动设置;④所没数据建立数据库以SAS软件处理其结果。结论：本系统自动化程度高,操作简便,数据处理科学、准确,尤其是还可用于听觉、视觉等特殊鼠记忆模型的建立。     

Bioinformatics software resources

This review looks at internet archives, repositories and lists for obtaining popular and useful biology and bioinformatics software. Resources include collections of free software, services for the collaborative development of new programs, software news media and catalogues of links to bioinformatics software and web tools. Problems with such resources arise from needs for continued curator effort to collect and update these, combined with less than optimal community support, funding and collaboration. Despite some problems, the available software repositories provide needed public access to many tools that are a foundation for analyses in bioscience research efforts.