MSBI Orientation Computer Science Department
Autust 18, 2020 8.00 PDT
MSBI Orientation Computer Science Department Autust 18, 2020 8.00 - - PowerPoint PPT Presentation
MSBI Orientation Computer Science Department Autust 18, 2020 8.00 PDT Welcome New Master's Students! Getting started including whats new this year "Advisors": MSBI faculty members, student advisor, project advisors, and
Autust 18, 2020 8.00 PDT
take either CS200w.
GWAR requirement in their first year in the MS program and must complete it two semesters before graduation.
Form and get the relevant signature (not easy).
will need to choose an additional three-unit elective course to take in the place
Coordinator.
genes
conditions (oilfield water vs. normal)
genomes
Phil Heller philip.heller@sjsu.edu Traditional Metagenomics Metagenomics + Deep Learning Bioinformatic Astronautics
Metagenomics Antibiotic-resistance Biofilms Neurodevelopmental Disorder Thrombosis in Microgravity SARS-CoV-2 Genome in a Bottle Peptide Vaccine Development
www.sjsu.edu/people/wendy.lee
Fall 2020
cleber.ouverney@sjsu.edu
http://www.miller-mccune.com/science-environment/bacteria-r-us-23628/
1013 Human cells and 1014 bacterial cells, hence 10% human and 90% bacteria
Periodontitis Chronic Gastritis Acute Inflammatory Bowel Disease Skin Rashes Acute Necrotizing Ulcerative Gingivitis Vaginosis Preterm Birth Delivery
Access to human samples imposes a challenge.
WGA Mixed Community Single Cell Pure Culture or Enrichment Cell shape, size, density, target molecules, autofluorescence Cell lysis
Novel Lactase Deinococcus pimensis E.coli express heterologous lactase Oral sample
Joseline Santos Joshua Garcia Ivan Cheng Sharina Santos Paige Grabski Sam Smits Stanford University David Relman Steven Quake Yan Marcy Elies Bik Adam Caldwell Eamon Vandaei Iana Elledge Michael Abrams Farsheed Ghadiri Margarita Rangel Stephanie Nystrom Diana Romero Becky Lee Cecilia Brown Ivan Cheng
Funding: NIH (MBRS, MARC, RISE), NSF (RUI), HHMI
David Barton Deepa Surendar Kavitha Reddy Jamsheed Ghadiri Jorge Dinis Sam Smits
Impairment) and dementia detection leads to better outcomes, lower costs, and better clinical trials. Project involves predicting MCI from genome wide analysis and diffusion- tensor image (DTI) analysis of MRI brain images.
Nanopore & Ion Torrent NSG technologies to sequence real pancreatic DNA/RNA, genome assembly
evidence-based analysis to predict PC sooner than currently achievable.
Protein Structure Scoring:
and Activity Prediction With Protein Targets:
analysis using statistical and evidence-based methods to identify novel drug targets.