| Version 2.3 (R2006a+) Bioinformatics Toolbox™ Software Release Notes | ![]() |
This table summarizes what's new in Version 2.3 (Release 2006a+):
| New Features and Changes | Version Compatibility Considerations | Fixed Bugs and Known Problems | Related Documentation at Web Site |
|---|---|---|---|
| Yes Details below | No | Bug
Reports | No |
New functions, obsoleted functions, and changes introduced in this version are
The following functions are obsolete:
getpir — Sequence data from PIR-PSD database. This function retrieved data from the PIR-PSD database. This database has been discontinued and this function no longer retrieves data. See http://pir.georgetown.edu/pirwww/dbinfo/nref.shtml for more details.
pirread — Read data from Protein Information Resource (PIR) file. This function supported the data format of the PIR-PSD database. This database has been discontinued. See http://pir.georgetown.edu/pirwww/dbinfo/nref.shtml for more details.
The following function was updated to include five new databases, including refseq_rna, refseq_genomic, env_nt, refseq_protein, and env_nr:
blastncbi — Generate remote BLAST request.
Following is a new function for visualizing sequence data:
featuresmap — Draw linear or circular map of features from GenBank® structure.
The following function was updated to include three new properties, including RBF_Sigma, BoxConstraint, and Autoscale:
svmtrain — Train support vector machine classifier.
The following function is supported on the Windows® 32 platform only:
affyread — Read microarray data from Affymetrix® GeneChip® file (Windows 32).
Following are new functions for preprocessing Affymetrix probe-level microarray data:
celintensityread — Read probe intensities from Affymetrix CEL files (Windows 32).
rmabackadj — Perform background adjustment on Affymetrix microarray probe-level data using Robust Multi-array Average (RMA) procedure.
rmasummary — Calculate gene (probe set) expression values from Affymetrix microarray probe-level data using Robust Multi-array Average (RMA) procedure.
affyinvarsetnorm — Perform rank invariant set normalization on probe intensities from multiple Affymetrix CEL or DAT files.
Following is a new function for two-color microarray normalization:
mainvarsetnorm — Perform rank invariant set normalization on gene expression values from two experimental conditions or phenotypes.
Following are new functions for microarray differential expression analysis:
mattest — Perform two-sample, two-tailed t-test to evaluate differential expression of genes from two experimental conditions or phenotypes.
mavolcanoplot — Create significance versus gene expression ratio (fold change) scatter plot of microarray data.
New demo of the new microarray functions (Analyzing Affymetrix Microarray Gene Expression Data).
![]() | Version 2.4 (R2006b) Bioinformatics Toolbox™ Software | Version 2.2.1 (R2006a) Bioinformatics Toolbox™ Software | ![]() |
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