1: Alt+Q, then enter the search term.
Move to the Tell me or Search field on the ribbon and type a search term for assistance or Help content.
2: Alt+F
Open the File menu.
3: Alt+H
Open the Home tab and format text and numbers and use the Find tool.
4: Alt+NOpen
The Insert tab and insert PivotTables, charts, add-ins, Sparklines, pictures, shapes, headers, or text boxes.
Choose a fill color.
5: Alt+P
Open the Page Layout tab and work with themes, page setup, scale, and alignment
6: Alt+M
Open the Formulas tab and insert, trace, and customize functions and calculations.
7: Alt+A
Open the Data tab and connect to, sort, filter, analyze, and work with data.
8: Alt+R
Open the Review tab and check spelling, add notes and threaded comments, and protect sheets and workbooks.
9: Alt+W
Open the View tab and preview page breaks and layouts, show and hide gridlines and headings, set zoom magnification, manage windows and panes, and view macros.
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Sequences.
A core concept in Biopython is the biological sequence, and this is represented by the Seq class. A Biopython Seq object is similar to a Python string in many respects: it supports the Python slice notation, can be concatenated with other sequences and is immutable.
Sequence annotation.
The SeqRecord class describes sequences along with information such as name description and features in the form of SeqFeature objects. Each SeqFeature object specifies the type of the feature and its location.
- History:
Began in 1999 and it was first released in July 2000. It was developed during a similar time frame and with analogous goals to other projects that added bioinformatics capabilities to their respective programming languages, including BioPerl, BioRuby and BioJava.
- Design:
Follows the conventions used by the Python programming language to make it easier for users familiar with Python. For example, Seq and SeqRecord objects can be manipulated via slicing, in a manner similar to Python's strings and lists. #DataVisualization
Browsing Data Compendia:
This is a good strategy if you are not sure what types of variables exist or what data would be relevant for your project
- Select a data compendia
- Determine the subject area or data type that your topic or variable falls under
- Read the descriptions
Searching by Topic:
This guide provides several links to data sources by topic. These links are by no mean exhaustive, but can be a good place to start and can help you get a sense of who are some of the major collectors of data in your topic area.