The current molecular biology techniques provide big amounts of data. Statistics and computers are needed to gain understanding from the genome, transcriptome and proteome data. We have developed tools and procedures in these bioinformatics areas:
- Microarray design: custom-defined Agilent microarrays on different formats (8x15k, 4x44k, etc.) for gene expression analysis, and other applications such as gene or microbial detection and genome comparisons.
- Normalization and statistical testing of transcriptomic data, from both microarray and RNA-seq techniques.
- Tools for the graphical representation of the results.
- Identification of global transcription start sites using RNA-seq.
- Genome sequencing and annotation.
- Phylogenetics analysis.
- Analysis of experimentally-determined protein binding sites using information theory tools and genome scanning to identify new predicted sites.