As much as we can help, we recognize that for most topics, members of the broad CGRB community are the "experts in the field," and more often than not we know who those experts are! We will be sure to connect you with the lab or person that has previously cleared the path for the analysis or data you are facing.   One way we connect people is through the Bioinformatics Users' Group (BUG), which meets for an hour, every two weeks.

BUG consists of life scientists, bioinformaticians, computer scientists, mathematicians, engineers, statisticians, and researchers of all types who meet to discuss topics related to these fields of study.BUG meeting

  • No experience necessary to participate
  • Informal: discussions and interactive-talks
  • Short workshops
  • Bring/request your own topics of interest

Previous topics include Hidden Markov Models, SNP Calling toolkits, Metagenomics, Structured Query Language (SQL), De-novo genome assembly tools, Project management, and many more.

To join the BUG mailing list please subscribe or contact the CGRB Bioinformatics Trainers.

Wednesdays from 12-1pm in Ag. & Life Sciences (ALS) 3005

Snacks Provided!

See the full calendar below, or add the event to your calendar from the events widget to the right.

Sept 25

CGRB’s new DFS for one and all!, i.e., Don’t know what a Distributed File System is? Come find out!
- Christopher Sullivan and Ken Lett (Center for Genome Research & Biocomputing)

Oct 9

A phased, diploid assembly of the hop (Humulus lupulus) genome reveals patterns of selection and haplotype variation, i.e., Resolving functional and evolutionary mysteries of a large, complex plant genome with genomic data science
- Lillian Padgitt-Cobb (David Hendrix Lab, Biochemistry & Biophysics)

Oct 23

R/qtl, i.e., Applications and methods for analysis of quantitative traits

- Kelly Vining (Kelly Vining Lab, Horticulture)

Nov 6

Introductory microbiome analysis using phyloseq, i.e., How to generate exploratory diversity plots and what they mean
- Ed Davis (Center for Genome Research & Biocomputing)

Nov 20

High-throughput maize ear phenotyping with a custom-built scanner and machine learning seed detection, i.e., Computer counts corn, correctly?
- Matthew Warman (John Fowler Lab, Botany & Plant Pathology)

Dec 4

IsoSeq pooling and HiSeq multiplexing comparison for Rubus occidentalis samples to explore Aphid resistance, i.e., Utilizing RNA to find differences between Aphid Resistant and Susceptible plants

- Christina Mulch (Kelly Vining Lab, Horticulture)