Snmek 1

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2. Helpful hints in the processing of
experimental data
2.1. Organization of work, type of data
Continuous processing and evaluation of
experimental data is highly needed
- Avoid the approach I am experimenting this
year and next year is for the evaluation
- Spectrum of software must be managed
Type od data
- Numerical data - raw data or data converted to
the numerical form, may be
obtained with certain tool (ruler) or equipment
(spectrophotometer)
- Graphical data - very important set of results,
their quantification is highly needed
- Structural data - analytical data, outcomes
from sequencing machines, etc..
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2. Helpful hints in the processing of
experimental data
2.1. Organization of work, type of data
Software used in modern laboratory
- Software controlling machines - sometimes very
complex (PCR cycler), the most
important is the form of the output
(table, text)
- Specialized software - very important in the
field of image analysis and
processing of sequence data
- General software - text and spreadsheet
editors, graphical software, presentation
software, mainly products of Microsoft
- Open source software - very good tools, often
problems with the compatibility
- online software mainly in bioinformatics
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2. Helpful hints in the processing of
experimental data
2.1. Organization of work, type of data
Windows Explorer or similar software (Windows
Commander)
Protocols named according to date - the folder in
format YYMMDD (081030). Must correspond to
date in the laboratory book.
Never modify folder with raw data - copying to
the folder with other files accompanying the
experiment.
Back up data - external HDD or DVD or CD, online
hard drives
Do not delay backuping!!!
Experiment must be always finished with complete
documentation, do not start others without
finishing the previous.
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2. Helpful hints in the processing of
experimental data
2.2. Data explorers, correct data handling and
saving
Windows Explorer
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2. Helpful hints in the processing of
experimental data
2.2. Data explorers, correct data handling and
saving
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2. Helpful hints in the processing of
experimental data
2.2. Data explorers, correct data handling and
saving
Windows Commander
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2. Helpful hints in the processing of
experimental data
2.3. Spreadsheets, statistical software, graph
editors
Bulk data processing, their editing and graphical
output
Microsoft Excel suitable for all basic jobs
including statistics
Specialized statistical software - in case of
need of more parameters, software
Statgraphics, NCSS
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2. Praktické postupy zpracování experimentálních
dat
2.3. Spreadsheets, statistical software, graph
editors
Microsoft Excel whole protocol management,
automation of numerical operations
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2. Helpful hints in the processing of
experimental data
2.3. Spreadsheets, statistical software, graph
editors
Sigma Plot line/scatter plots, bar charts,
histograms
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2. Helpful hints in the processing of
experimental data
2.3. Processing of structural and sequence data
Notepad
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2. Helpful hints in the processing of
experimental data
2.3. Processing of structural and sequence data
Vector NTI(Invitrogen)
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2. Helpful hints in the processing of
experimental data
2.3. Image analysis, graphical software,
presentation software
ImageJ (NIH)
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2. Helpful hints in the processing of
experimental data
2.3. Image analysis, graphical software,
presentation software
NIS elements(Lucia)
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2. Helpful hints in the processing of
experimental data
2.3. Image analysis, graphical software,
presentation software
NIS elements (Lucia)
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2. Helpful hints in the processing of
experimental data
2.3. Image analysis, graphical software,
presentation software
Leica LSM
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2. Helpful hints in the processing of
experimental data
2.3. Image analysis, graphical software,
presentation software
Zeiss LSMbrowser
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2. Helpful hints in the processing of
experimental data
2.3. Image analysis, graphical software,
presentation software
Dynamic distribution of PIn1 auxin carrier in the
plasma membrane of tobacco cells.
Prebleach
Postbleach
FRAP 30 min
FRAP in cells of BY-2 expressing AtPIN1-GFP
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2. Helpful hints in the processing of
experimental data
2.3. Image analysis, graphical software,
presentation software
Irfan View ideal for every day browsing through
image documentation
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2. Helpful hints in the processing of
experimental data
2.3. Image analysis, graphical software,
presentation software
Corel Photo Paint Adobe Photoshop
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2. Helpful hints in the processing of
experimental data
2.3. Image analysis, graphical software,
presentation software
Corel Photo Paint or Corel Photoshop avoid
excessive image adjustment!
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2. Helpful hints in the processing of
experimental data
2.3. Image analysis, graphical software,
presentation software
Corel Draw Adobe Illustrator