The constant advance of high-throughput biotechnologies (e.g. NextGen Sequencing) has fostered a new generation of biomedical research that aims to uncover the inner workings of the cell on a genome-wide scale. This revolution is transforming research activities across ASU. To strengthen these research efforts and to create new research opportunities that are more competitive in the post-genomic era, the Office of Knowledge Enterprise Development (OKED) and the Biodesign Institute made a joint effort to establish a Bioinformatics Core (BiCo) facility in 2015. BiCo has three major functional components: (1) routine data-analysis services, (2) research-oriented collaborations, and (3) targeted training. It has coordinated operations with other core facilities on campus to improve user experience and productivity.
Bioinformatics Research Specialist: Brian Hanratty, M.S.
Advisory Panel: Li Liu, M.D. (ASU Directory)
Advisory Panel: Jay Park, Ph.D.
Advisory Panel: Rosa Krajmalnik-Brown, Ph.D.
512-core server farm with a total of 4,448 gigaflops of computation power and 1.2 TB aggregate RAM
55 TB of data storage
1 Gbps Ethernet network
Access to ASU Advanced Computing Center
Bioinformatics support for Omics data analysis
We are experienced in analyzing genomic, transcriptomic, proteomic, epigenetic and metagenomic data. Our previous and current projects include studies using various high-throughput technologies, such as whole genome sequencing (WGS), whole exome sequencing (WES), targeted region sequencing, RNA-Seq, ChIP-Seq, Meth-Seq, gene expression microarray, genotyping microarray and protein microarray. BiCo scientists can help investigators with omics data analysis using available software and can also develop customized software tools.
- Consultation on sequencing, bioinformatics & experimental design
- Targeted Sequencing
- RNA-Sequencing: standard, novel transcripts/isoforms identification
- Dual RNAseq for both host and pathogen
- Denovo Assembly and Annotation
- Whole Genome Re-sequencing
- Machine Learning for personalized medicine (e.g. biomarker discovery, clinical trial research, electronic health records)
- Power Analysis
- Small RNA and miRNA profiling and discovery
- Gene fusion, CNV and structural variants detection
- Cell-free DNA sequencing analysis
Project design and data analysis consultation
Consultation services are available upon request or during office hours. Coordinated project design consultation and data analysis support are available with other ASU core facilities, including genomics, proteomics, microarray and imaging facilities.
Workshops and Training
Bioinformatics Core runs workshops that cover a wide range of topics. Workshops include both lectures and hands-on sessions. Please join our mailing list to receive notifications about new training opportunities. Videos of pervious workshops were available online at workshops.asubioinformatics.org
- Integrative Genomics Viewer (IGV)
- Amplicon Sequencing (AmpSeq)
- R for Graphing and Visualization
- Basic R for Biologists
- Pathway Analysis
- Command Line Basics for Biologists
Upcoming 2017 Workshops
- Basic Python for Biologist
- Basic SQL for Biologist
- Experimental design
Collaborative Research Project
The Bioinformatics Core Facility can participate in your projects via research-oriented collaborations. We apply state-of-the-art computational approaches and develop novel methods to accelerate biomedical discoveries. Our expertise lies in molecular evolution, machine learning, and big data analytics. Left shows one example of our collaborative research projects.
Software, database and website development
Bioinformatics support is available for both basic research and clinical research. BiCo supports bioinformatics analysis software and develops analysis pipelines for diverse data types. The facility also designs and hosts Laboratory Information Management Systems (LIMS) research databases. Examples of such activities include: (1) designing database systems for specific research problems; (2) developing interfaces for data access, storage and analysis; and (3) deploying these applications on the core's computing resources. BioCo scientists also can help researchers integrate diverse data sets, such as genomics, proteomics, metabolomics and imaging information. Databases can be designed to support basic research projects and clinical research studies.