A computer-assisted cell identification system

A computer and optical microscope image processing system for the acquisition, editing and analysis of quantitative, multivariate, cell nuclear data is described. The experimental equipment and methods are discussed, the mathematics used are presented, and the additions, modifications and deletions to the TICAS 11/45 set of computer programs for the analysis of the data are outlined.     

Low cost multi user multi platform accessible HPLC data acquisition system

Summary A low cost multi user multi platform accessible HPLC data acquisition system has been designed for use in a laboratory environment. This system uses available HPLC measurement systems that lack modern network communication tools and a low cost computer with reliable software. HPLC data are portable to any other computer by means of File Transport Protocol (FTP) communication and can then be used for data analysis. Off line analysis of ethanol data showed a substantial improvement over the old system in terms of data accuracy and skewness. Furthermore, off line data analysis could resolve hidden acetaldehyde peaks which revealed to be oscillatory.     

Validation of a computer software program for statistical analysis of accelerated stability studies on biological standards.

Long-term stability is an essential requirement for biological measurement standards and it has been evaluated by applying the Arrhenius model to the data obtained from accelerated thermostability studies. A computer program DEGTEST suited to a mainframe computer has been used for evaluating the stability of biological standards for more than a decade. This paper describes the validation of a computer program executable in a personal computer Microsoft Windows XP environment for the analysis of accelerated thermostability study data.     

Interactive computer programs in sequence data analysis

We present interactive computer programs for the analysis of nucleic acid sequences. In order to handle these programs, minimum computer experience is sufficient. The nucleotide sequence of the human gamma globin gene complex is used as an example to illustrate the data analysis.     

A low-cost system for computerized rodent weight logging with statistical analysis

A system comprising a suite of 4 computer programs has been developed for on-line rodent weight data collection and statistical analysis using an IBM personal computer. Data can be collected from up to 3 separate trials simultaneously, and can be stored for later statistical analysis. Mettler balances were used for the animal weighing. A Mettler current loop adapter and a multiplexer were used to interface the balances with the computer.     

Comparison of different approaches and computer programs for progress curve analysis of enzyme kinetics

For the analysis of enzyme kinetics, a variety of programs exists. These programs apply either algebraic or dynamic parameter estimation, requiring different approaches for data fitting. The choice of approach and computer program is usually subjective, and it is generally assumed that this choice has no influence on the obtained parameter estimates. However, this assumption has not yet been verified comprehensively. Therefore, in this study, five computer programs for progress curve analysis were compared with respect to accuracy and minimum data amount required to obtain accurate parameter estimates. While two of these five computer programs (MS‐Excel, Origin) use algebraic parameter estimation, three computer programs (Encora, ModelMaker, gPROMS) are able to perform dynamic parameter estimation. For this comparison, the industrially important enzyme penicillin amidase (EC 3.5.1.11) was studied, and both experimental and in silico data were used. It was shown that significant differences in the estimated parameter values arise by using different computer programs, especially if the number of data points is low. Therefore, deviations between parameter values reported in the literature could simply be caused by the use of different computer programs.     

Computerized Meiotic Mapping in ASPERGILLUS NIDULANS

A computer system for the storage and processing of microbial meiotic data has been developed. Based on the language Fortran 4, the program retrieves relevant data and determines the order, map distances, and coefficient of coincidence for any three-gene group. Meiotic data from Aspergillus nidulans were used to test the program. A total of 61 three-gene sequences were processed, and the results were found to be compatible with the published values. The advantages and disadvantages of computer analysis for genetic analysis are discussed.     

Computer Program Designed to Follow Fluctuations in Microbial Populations and Its Application in a Study of Chesapeake Bay Microflora

A computer program has been developed which performs cluster analysis of microorganisms using methods of numerical taxonomy. The program is designed to group related strains, identify the groups by reference to known strains, and calculate a hypothetical median organism (HMO) for each group. The HMO serves to condense taxonomic information and provides a tag for each strain cluster. Every strain in a group is compared with the HMO established for that group. A representative strain for the group is obtained by selection of the strain showing highest similarity to the HMO. New data sets can be compared with data sets of previous analyses. Hence, the occurrence of the same taxonomic groups within separate data sets can be determined. Quantitative or qualitative differences in distribution of taxonomic groups within or between data sets can be measured. The output from the computer is a graphical display, using an on-line plotter; thus, the investigator is provided with visual comparison of data sets. Results obtained from a study applying the computer program in an analysis of taxonomic data obtained for 43 bacterial strains isolated from Chesapeake Bay indicate the usefulness of this method of taxonomic analysis in microbial ecology.     

Use of a computer data file for storage of heat resistance data on bacterial spores

The use of a computer data file to compile published heat resistance data on bacterial spores is described. Information relating to sporulation, heating and recovery of the spores, in addition to decimal reduction times at different temperatures has been stored. The data file was constructed using Minitab and an indexer program on a VAX 11/750 computer operating on VMS. Storage of the data in this way enables rapid manipulation and analysis of large quantities of information relating to heat resistance of bacterial spores.     

Use of a computer data file for storage of heat resistance data on bacterial spores

The use of a computer data file to compile published heat resistance data on bacterial spores is described. Information relating to sporulation, heating and recovery of the spores, in addition to decimal reduction times at different temperatures has been stored. The data file was constructed using Minitab and an indexer program on a VAX 11/750 computer operating on VMS. Storage of the data in this way enables rapid manipulation and analysis of large quantities of information relating to heat resistance of bacterial spores.     

Teaching computer interfacing with virtual instruments in an object-oriented language.

LabVIEW is a graphic object-oriented computer language developed to facilitate hardware/software communication. LabVIEW is a complete computer language that can be used like Basic, FORTRAN, or C. In LabVIEW one creates virtual instruments that aesthetically look like real instruments but are controlled by sophisticated computer programs. There are several levels of data acquisition VIs that make it easy to control data flow, and many signal processing and analysis algorithms come with the software as premade VIs. In the classroom, the similarity between virtual and real instruments helps students understand how information is passed between the computer and attached instruments. The software may be used in the absence of hardware so that students can work at home as well as in the classroom. This article demonstrates how LabVIEW can be used to control data flow between computers and instruments, points out important features for signal processing and analysis, and shows how virtual instruments may be used in place of physical instrumentation. Applications of LabVIEW to the teaching laboratory are also discussed, and a plausible course outline is given.     

Use of a neural net computer system for analysis of flow cytometric data of phytoplankton populations

Flow cytometry has been used over the past 5 years to begin detailed exploration of the distribution and abundance of picoplankton in the oceans. Light scattering and fluorescence measurements on individual plankton cells in seawater samples allow construction of population signatures from size and pigment characteristics. The use of "list mode" data has made these studies possible, but on-shore analysis of copious data does not permit on-site reexamination of important or unexpected observations, and overall effort is greatly handicapped by data analysis time. Here we describe the application of neural net computer technology to the analysis of flow cytometry data. Although the data used in this study are from oceanographic research, the results are general and should be directly applicable to flow cytometry data of any sort. Neural net computers are ideally suited to perform the pattern recognition required for the quantitative analysis of flow cytometry data. Rather than being programmed to perform analysis, the neural net computer is "taught" how to analyze the cell populations by presenting examples of inputs and correct results. Once the system is "trained," similar data sets can be analyzed rapidly and objectively, minimizing the need for laborious user interaction. The neural network described here offers the advantages of 1) adaptability to changing conditions and 2) potential real-time analysis. High accuracy and processing speed near that required for real-time classification have been achieved in a software simulation of the neural network on a Macintosh SE personal computer.     

Programming for the DNA analysis of FCM data on an IBM microcomputer

The analysis of data generated on a flow cytometer (FCM) is often performed on a computer obtained especially for dedicated use with the flow cytometer. This computer component can be expensive and also presents the FCM user with the added burden of mastering specialized programming language or of accepting the secret analytical processes of protected proprietary program routines. We believe that the evolution of more accurate and efficient FCM analyses that have the power to consider complex signal distributions can be assisted by the availability of analysis programs written in languages common to many users. DNA analysis routines written for a relatively inexpensive microcomputer (IBM PC/XT) in Basic and Pascal are described here. The routines can automatically process multiple FCM data files and can provide high-resolution graphic hardcopy. A foreground/background utilization is also described that allows the computer to be available for other uses in the laboratory.     

Secondary structure model for mouse beta Maj globin mRNA derived from enzymatic digestion data, comparative sequence and computer analysis.

A model for the secondary structure of mouse beta Maj globin messenger RNA is presented based on enzymatic digestion data, comparative sequence and computer analysis. Using 5'-32P-end-labeled beta globin mRNA as a substrate, single-stranded regions were determined with S1 and T1 nucleases and double-stranded regions with V1 ribonuclease from cobra venom. The structure data obtained for ca. 75% of the molecule was introduced into a computer algorithm which predicts secondary structures of minimum free energy consistent with the enzymatic data. Two prominent base paired regions independently derived by phylogenetic analysis were also present in the computer generated structure lending support for the model. An interesting feature of the model is the presence of long-range base pairing interactions which permit the beta globin mRNA to fold back on itself, thereby bringing the 5'- and 3'-noncoding regions within close proximity. This feature is consistent with data from other laboratories suggesting an interaction of the 5'- and 3'-domains in the mammalian globin mRNAs.     

Portable microcomputer software for nucleotide sequence analysis.

The most common types of nucleotide sequence data analyses and handling can be done more conveniently and inexpensively on microcomputers than on large time-sharing systems. We present a package of computer programs for the analysis of DNA and RNA sequence data which overcomes many of the limitations imposed by microcomputers, while offering most of the features of programs commonly available on large computers, including sequence numbering and translation, restriction site and homology searches with dot-matrix plots, nucleotide distribution analysis, and graphic display of data. Most of the programs were written in Standard Pascal (on an Apple II computer) to facilitate portability to other micro-, mini-, and and mainframe computers.     

Computational Modeling,Formal Analysis,and Tools for Systems Biology

As the amount of biological data in the public domain grows, so does the range of modeling and analysis techniques employed in systems biology. In recent years, a number of theoretical computer science developments have enabled modeling methodology to keep pace. The growing interest in systems biology in executable models and their analysis has necessitated the borrowing of terms and methods from computer science, such as formal analysis, model checking, static analysis, and runtime verification. Here, we discuss the most important and exciting computational methods and tools currently available to systems biologists. We believe that a deeper understanding of the concepts and theory highlighted in this review will produce better software practice, improved investigation of complex biological processes, and even new ideas and better feedback into computer science.     

Variable selection and pattern recognition with gene expression data generated by the microarray technology

Lack of adequate statistical methods for the analysis of microarray data remains the most critical deterrent to uncovering the true potential of these promising techniques in basic and translational biological studies. The popular practice of drawing important biological conclusions from just one replicate (slide) should be discouraged. In this paper, we discuss some modern trends in statistical analysis of microarray data with a special focus on statistical classification (pattern recognition) and variable selection. In addressing these issues we consider the utility of some distances between random vectors and their nonparametric estimates obtained from gene expression data. Performance of the proposed distances is tested by computer simulations and analysis of gene expression data on two different types of human leukemia. In experimental settings, the error rate is estimated by cross-validation, while a control sample is generated in computer simulation experiments aimed at testing the proposed gene selection procedures and associated classification rules.     

浅谈在生物化学实验中培养学生的数据处理与分析能力

在生物化学实验中,教师应该重视培养学生的数据处理与分析能力。教师可以通过课堂讲解、课堂设问和实验设计等结合的方式,培养学生建立数据与单位的概念,指导学生掌握有效数字的计算,同时引导学生使用基本的软件工具分析处理数据,最终运用统计学的定量与分析得到可靠合理的实验结果。