Facilities
Bioinformatics
The Bioinformatics Core accelerates biological discovery by providing high-quality, cost-effective data analysis, responsive support, and training opportunities, while evolving with advances in the field to meet researchers’ needs.
About
The Bioinformatics Core facilitates, amplifies, and accelerates biological research through application of bioinformatics. We analyze and integrate data from a diverse array of platforms, including genomics, metabolomics, and proteomics.
Capabilities
Genome Analysis
- de novo assembly
- Gene prediction
- Gene annotation
- Phylo genomics
- Comparative genomics
Transcriptome Analysis
- RNA-Seq – Differential Gene Expression
- miRNA
- lncRNA
- Microarray
Epigenetics
- Histone modifications (ChIP-Seq)
- MeDIP-Seq
- Bisulfite Sequence analysis
- Mnase-seq
Metagenomics
- 16S rRNA and 18S rRNA amplicon analysis
- Shotgun metagenomics
- Meta transcriptomics
Structural Analysis
- SNP
- CNV
- SSR
- Repeat element
Functional Analysis
- Pathway
- GO
Consultation
- Experimental design
- Data interpretation
- Software selection
- Grant and publication support
Rates
| Service | Internal Customers | External |
|---|---|---|
| Bioinformatics data analysis | $70/hr | $155/hr |
Resources
Computational resources
The computational resources available through RCAC can be found at https://www.rcac.purdue.edu/
The Bioinformatics Core installs and maintains several hundred software packages related to bioinformatics. A complete list can be found at https://wiki.itap.purdue.edu/display/BioCoreFacility/Bioinformatics+software+listing
External
Courses at Purdue
Campus Courses
There are several courses related to bioinformatics that are offered at Purdue University. A partial list of courses is included here. Please follow their links for more information.
- Genomics (AGRY 60000)
- Introduction to Bioinformatics (BIOL 47800, CS 47800, CNIT 22700)
- Biomedical informatics (CNIT 45800)
- Protein Bioinformatics (BIOL 56310)
- Bioinformatics computing and systems integration (CNIT 55800)
- Bioinformatics Algorithms (CS 57900)
- Bioinformatics Seminar (STAT 58100)
- Computing for life sciences (CS59000-CLS)