The Bioinformatics Core works with researchers throughout the research lifecycle, including:
We develop and apply computational, machine learning, and statistical methods to address research questions that extend beyond existing analytical approaches, including integrative analyses of phenotypic, genotypic, and multi-omics data.
More researchers are using AI tools like Claude and ChatGPT to help run data analyses. These tools can be helpful, but they also come with risks. If you’ve used one of these tools for an analysis, we’re happy to help verify that it was implemented correctly.
Beyond collaborative projects, the Bioinformatics Core provides individualized consultations, more than 30 hands-on training sessions each year, and educational resources to help researchers develop the skills needed to independently manage and interpret complex biological data.
Gladstone’s Bioinformatics Core partners with researchers across a wide range of biomedical research projects, providing statistical and bioinformatics expertise from study design through data analysis and interpretation. Whether you need guidance planning an experiment, support analyzing complex datasets, or custom computational approaches for a unique research question, we offer collaborative services designed to help you generate robust, reproducible, and biologically meaningful results.
The core’s team helps researchers build strong experimental foundations by providing support for:
We provide bioinformatics and statistical analysis across a broad range of data types, including:
The core can develop and apply computational and statistical methods tailored to your research needs, including:
We partner with researchers throughout the research lifecycle by providing support for:
To get started with the Bioinformatics Core:
| User type | Hourly Rate |
|---|---|
| Gladstone | $135 |
| UCSF | $230 |
| External | $300 |
The team will provide a quote based on the complexity of your project. For reference, our median project has taken about 12 billed hours.
Gladstone’s Bioinformatics Core collaborates with UCSF and other companies to share expertise through educational resources, training sessions, individualized consultations, and educational graduate and postdoc programs.
Our hands-on training series aims to:
We offer more than 30 hands-on training sessions each year covering statistical analysis, computational tools, genomics, transcriptomics, epigenomics, and AI best practices. Most of our workshops are free and participants receive a certificate of attendance.
If you’re interested in tailored remote, hybrid, or on-site training sessions for individual labs or for your company, email the Bioinformatics Core team.
The core is deeply committed to education, mentorship, and collaborative learning. Since 2021, we have joined several educational programs including PUMAS, SEP, NexeGeneGirls, and CCSF. If you’re interested in an internship, email the Bioinformatics Core team.
We recommend the Nextflow nf-core pipelines, which we have configured to run on the CoreHPC compute cluster.
The core offers workshops in experimental design and hypothesis testing using R, Unix Command Line, CoreHPC, machine learning, RNA-seq analysis, AI fluency for biologists, single cell RNA-seq analysis using R, pathway analysis, linear mixed effects, and more.
Yes, each participant will receive a certificate of attendance.
We commonly contribute at the level of co-authors, but for minor contributions an acknowledgement is much appreciated, e.g., “We thank Dr. XYZ of Gladstone Institutes Bioinformatics Core for their assistance with statistical and bioinformatics analysis.”
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