SPSS, Tutorial, deutsch, Literatur zu SPSS, Tutorials, Dialogfelder, Dialogfeld, Flash Tutorial, Statistik, FU, Berlin, Informationen zu SPSS-Lizenzen. SPSS-Tutorials (deutsch) Übersicht zu den vorhandenen Flash-Animationen Datenzugang: Aufbau einer Datendatei Datenimport über die ODBC-Schnittstelle Datenaufbereitung: Berechnen von Informationen Klassifizieren von Variablen über Umkodieren Umkodieren von Variablen Selektieren I - Vergleichsoperatoren Selektieren II - logische Operatoren Selektieren III - komplexe Bedingungen Datenanalyse: Deskriptive Statistik Testen I - Testen auf Unterschiede (t-Test unabh. Stichproben - U-Test) Testen II - Testen auf Unterschiede (t-Test abh. Zum effektiven Umgang mit dem Programm: Editieren von Tabellen im Ausgabefenster Verwendung von Syntaxanweisungen Verwendung von Syntaxanweisungen - erweiterte Version SPSS und R - Installation und Nutzung SPSS und R mit Grafik - Demonstration der Anwendung Verwendung von Makros Verwendung von Skripten Datenzugang Tutorial zum Aufbau einer Datendatei (Flash-Animation) Tutorial zum Datenimport über die ODBC-Schnittstelle (Flash-Animation) Datenaufbereitung Testen.
Research/Recherche. Academic Writing. Sites of learning. MBCF Oligo Calculator. Bioinformatics tools. SoftwareSeek: Search Results. Using SPSS for Nominal Data (Binomial and Chi-Squared Tests) Using SPSS for Nominal Data:Binomial and Chi-Squared Tests This tutorial will show you how to use SPSS version 12.0 to perform binomial tests, Chi-squared test with one variable, and Chi-squared test of independence of categorical variables on nominally scaled data. This tutorial assumes that you have: Downloaded the standard class data set (click on the link and save the data file) Started SPSS (click on Start | All Programs | SPSS for Windows | SPSS 12.0 for Windows) Loaded the standard data set Binomial Test The binomial test is useful for determining if the proportion of people in one of two categories is different from a specified amount.
SPSS assumes that the variable that specifies the category is numeric. As always, we will perform the basic steps in hypothesis testing: Write the hypotheses: H0: P = .5 H1: P ≠ .5 Where P is the proportion of people who selected cats.Determine if the hypotheses are one- or two-tailed. The output tells us that there are two groups: DOG and CAT.
Help. Biology & Microbiology. Tutorial - BLAST - Workbench. "The Basic Local Alignment Search Tool (BLAST) finds regions of local similarity between sequences. The program compares nucleotide or protein sequences to sequence databases and calculates the statistical significance of matches. BLAST can be used to infer functional and evolutionary relationships between sequences as well as help identify members of gene families" (quoted from the NCBI BLAST homepage). geWorkbench submits BLAST jobs to the NCBI server. NCBI-supported sequence databases and search algorithms can be selected in the user interface. Since release 2.1.0, geWorkbench supports almost all BLAST setting options available through the NCBI web interface. Please note that although, in geWorkbench, we have adopted the default settings for each BLAST algorithm as seen on the NCBI website, those settings are subject to change at any time by NCBI. The BLAST analysis is available when a protein or DNA sequence is loaded and selected in the Workspace.
Older help pages... Prerequisites. Ebooks. Molecular Biology. Entrez cross-database search. Biology videos. AllPlus. MetaSearch Engines. PCR. 1) Add the following to a microfuge tube: 10 ul reaction buffer 1 ul 15 uM forward primer 1 ul 15 uM reverse primer 1 ul template DNA 5 ul 2 mM dNTP 8 ul 25 mM MgCl2 or MgSO4 (volume variable) water (to make up to 100 ul) 2) Place tube in a thermocycler. 3) Start the PCR cycles according the following schemes: a) denaturation - 94 ° C, 30-90 sec. b) annealing - 55 °C (or -5° Tm), 0.5-2 min. c) extension - 72 °C, 1 min.
Repeat cycles 29 times 4) Add a final extension step of 5 min. to fill in any uncompleted polymerisation. Note: Most of the parameters can be varied to optimise the PCR (more at Tavi's PCR guide ): a) Mg ++ - one of the main variables - change the amount added if the PCR result is poor. B) Template DNA concentration - PCR is very powerful tool for DNA amplification therefore very little DNA is needed. C) Enzymes used - Taq DNA polymerase has a higher error rate (no proof-reading 3' to 5' exonuclease activity) than Tli or Pfu . H) Additives - i) PCR buffer 16.6 mM ammonium sulfate. RNA structure & modeling course. Software. SPSS. Seq Anal. Each gene has a specific sequence of nucleotides, commonly called its DNA sequence. Once we have cloned a gene into a plasmid we can determine the sequence of the DNA using the dideoxynucleotide method either manually or by using automated sequencers.
To seqeunce DNA, the DNA is first denatured, producing a single stranded template. A specific primer is then added which binds to the template. Free nucleotides (dATP, dCTP, dGTP and dTTP), dATP labeled with a fluorescent dye or a radioactive element, and DNA polymerase are added, and DNA synthesis is begun. After a few minutes the sample is split into four new tubes, and dideoxynucleotides (ddATP, ddCTP, ddGTP and ddTTP) are added.
The dideoxynucleotides then are incorporated into the growing strand of a DNA molecule and stop the reaction. One then runs these reactions on a long thin acrylamide gel and separates the different length reaction products based on their size. Ecology. Microbiology. Horticulture/ Botany. Bioinformatics. Bioinformatics. Bios. Elementary Concepts in Statistics. In this introduction, we will briefly discuss those elementary statistical concepts that provide the necessary foundations for more specialized expertise in any area of statistical data analysis. The selected topics illustrate the basic assumptions of most statistical methods and/or have been demonstrated in research to be necessary components of our general understanding of the "quantitative nature" of reality (Nisbett, et al., 1987).
We will focus mostly on the functional aspects of the concepts discussed and the presentation will be very short. Further information on each of the concepts can be found in statistical textbooks. Recommended introductory textbooks are: Kachigan (1986), and Runyon and Haber (1976); for a more advanced discussion of elementary theory and assumptions of statistics, see the classic books by Hays (1988), and Kendall and Stuart (1979). What are Variables? Variables are things that we measure, control, or manipulate in research. Correlational vs. Dependent vs. Database.