Microarray data analysis: scale and normalize data; single and multiple array analysis; comparison analysis with hypotheses testing; basic data interpretation using NetAffx analysis center for protein annotation.
BLAST® analysis: single and multiple sequence alignment; alignment by local or NCBI database to detect the relationship and similarity among sequences.
BLAT®Analysis: finding sequences of minimum 40 bases with 95% or greater similarity on entire genome. BLAT on proteins finds sequences of 80% or greater similarity of length of 20 amino acids or more.
Sequence editing and comparison: fragment assembly; protein analysis; pattern, motif and gene finding.
Neural network models: to build computational prototypes based on pattern recognitions and supervised or unsupervised learning with the ability to estimate the specific parameters. Neural networks can be developed into complex models used in quantitative structure-activity relationship (QSAR) research.
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