Data Explorer software

Record the spectra in reflectron mode using an acceleration voltage of 20 kV, 70% grid voltage and a delay of 1.277 ns. Generate MS spectra by accumulating 2000 laser shots (Fig. 1). Analyze the mass spectra with the Data Explorer Software Version 4.6 (Applied Biosystems GmbH) (see Note 12). 

Series Explorer and Data Explorer software (with 4800 TOF-TOF mass spectrometer, AB Sciex, Foster City, CA)... 

The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB-PDB at http //www.rcsb.org/pdb/home/home.do is the online source for X-ray and NMR structural data. Many software programs mentioned in Section 4.5 include the facihty to visualize imported data however, two free software programs operate well in this regard. One is MDL Chime described previously in this section. Chime, a chemical structure visualization plug-in for Internet Explorer and Netscape Communicator, supports a wide variety of molecule coordinate formats, including PDB (protein data bank), Molfile (from ISIS/Draw), MOP (MOPAC input hies), and GAU (Gaussian Input hies). 

Especially in academic science, data analysis often starts as an exploratory creative process with evolving ideas of the data analysis flow and rapidly changing analysis parameters or conditions. Therefore, data analysis software has to be extremely flexible in order not to limit the exploration of data. Furthermore, it is important that the data analysis process is comprehensible and easily readable at all time points to ensure that scientists can share their approach with colleagues and to better prevent conceptual mistakes. A third requirement to data analysis software is the minimization of effort and time a scientist has to invest to implement various methods. 

Jones T, Kang 1, Wheeler D et al (2008) CellProfiler analyst data exploration and analysis software for complex image-based screens. BMC Bioinformatics 9 482... 

In the software program in which the form of data exploration is sequential the user will have compulsory access to all the available information in the program either when it concerns spaces to visit and details or images or when it concerns written verbal texts. 

All the topics are illustrated with examples that are closely related to practical process simulation problems. At the end of each chapter, additional calculation examples are given to enable the reader to extend his comprehension. An introduction to a larger number of problems can be found in Qiapter 15. These problems and their solutions can be downloaded from the site www.ddbst.com. The problems partially require the use of the software Mathcad and the Dortmund Data Bank Software Package - Explorer Version. Both packages can be downloaded from the Internet. The DDBSP Explorer Version is free to use, whereas Mathcad is only available for free during a tryout period of 30 days. Mathcad files enable the users to perform the iterative calculations themselves and get a feeling for their complexity. Often, typical pitfalls in process simulation are covered in the examples, which should be helpful for the reader to avoid them in advance. 

Five participants took part in the pilot evaluation of EMA-Tactons in TableVis, with the implementation described in the previous section. All participants were visually impaired and used screen reading software to access information in computers. The structure of the evaluation session was as follows introduction to the interface and to the concepts involved in exploring data through interactive sonification set several tasks for data exploration and observe the participant perform the task, encouraging think-aloud explorations finish with a semi-structured interview. Only the columns navigation mode was used, where complete columns were compared by using HDS in TableVis. 

Well, that s all there is to it We have explored the 4 methods of quantitative analysis that are in widespread use, CLS, ILS, PCR, and PLS. We have considered the strengths and weakness of each method. The most important lesson we have (hopefully) learned is that no single method is right for all situations. Depending upon the nature of the application and the data we have to work with, any one of the 4 techniques might outperform the others. Fortunately, with the availablity of various software packages together with inexpensive computers on which to run them, it is a relatively easy matter to try them all on our data so that we may choose the method which best meets each situation. 

The ease of access to data, showing a modified graph within 3 seconds of the easily entered requests, does indeed help the chemist to explore the data more inquisitively - something that fully justifies the extra software effort put in to give user friendliness. 

SAS provides many tools for creating graphical displays of clinical trial data. The majority of these tools can be found in SAS/GRAPH software, and those are what we explore here. 

Roberts G, Myatt GJ, Johnson WP, etal. (2000) LeadScope Software for exploring large sets of screening data. /. Chem. Inf Comput. Sci. 40 1302-1314. 

---