| Bioinformatics Toolbox 2.0 Release Notes | |
Bioinformatics Toolbox 2.0 has a number enhancements added to functions in previous releases.
getgenbank — Now returns CDS information for a gene in a structure allowing direct access to the transcribed sequence.
palindromes — Now allows for gaps in the palindrome.
seqshoworfs, seqshowwords, showalignment — Now displays the results in a Figure window. [This may cause problems on the Mac]
In Bioinformatics Toolbox 2.0 the functions seqlogo, seqshowwords, seqshoworfs, and showalignment use Java based figures. Currently on the Macintosh, Java figures are not enabled by default. If you use these functions on a Macintosh, you should start MATLAB with
matlab -useJavaFigures
For more details, see the MATLAB 7.0.1 (Release 14SP1) Release Notes
http://www.mathworks.com/access/helpdesk/help/techdoc/rn/r14sp1_o.html
affyread — Output structures have changed slightly. Some redundant fields have been removed from CDF and CHP structure. GIN database files are now supported. Version 4 of the Affymetrix GDAC File Access Runtime Libraries is provided.
geosoftread — Now supports Gene Expression Omnibus Database records (GDS files).
maimage — Now supports Affymetrix CEL data.
maboxplot — Now supports Affymetrix CHP data.
Affymetrix and Gene Chip are registered trademarks of Affymetrix Inc.
Bioinformatics Toolbox 2.0 includes several new demonstrations. You can
Type the name of the demonstration in the MATLAB command window, and run the demonstrations step-by-step through the code.
Select a demonstration from the Demo tab in the Help browser and view a printed format, view the code, or run the demonstration.
Get a list of demonstrations and functions by typing help bioinfo, and then selecting a demonstration to run.
affydemo — How to work with Affymetrix Gene Chip data.
biovbscript — How to connect to MATLAB from a Web page using VBScript.
rasmolddedemo — How to connect to RASMOL using DDE.
Three new demos for preprocessing raw mass spectrometry data and searching for patterns within a data set.
1 mspreprodemo — Pre-processing raw mass spectrometry data.
2 cancerdetectdemo — Identifying significant features and classifying protein profile.
3 biodistcompdemo — Batch processing of spectra using distributed computing.
| | Bioinformatics Toolbox 2.0 Release Notes | Known Software Problems | |
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