UCLA press release about the launch of QCB.
http://newsroom.ucla.edu/releases/big-data-in-biosciences-and-health-care-is-focus-of-new-ucla-research-center
Interesting links
Here are some interesting links for you! Enjoy your stay :)Pages
- #5439 (no title)
- 2019 Retreat Gallery
- 2020 Retreat Gallery
- 2021 Retreat Gallery
- 2022 Retreat Gallery
- 2023 Retreat Gallery
- Alumni
- ATest
- B.I.G. SUMMER
- BIG Summer Letter of Recommendation Submission Form
- Biomathematics
- Career Panel and Networking Event
- Committees
- Computational Biosciences Undergraduate Research Portal
- Diversity, Equity, & Inclusion
- Faculty
- Frontpage
- Frontpage
- Frontpage
- GATK Workshop Slide Sets: March 2016
- Graduate Program Navigator
- Graduate Programs
- Hoffman2 Cluster User Guide
- Journal Clubs
- News Archive
- Overview
- Professor Takashi Suzuki
- Prominent Publications by QCBio-Affiliated Faculty
- Publications
- QBio-EDGE
- Software Tools
- The Collaboratory
- Trainees
- Trainees
- Undergraduate Programs
- Videos
- W24: MERFISH/seqFISH
- Applied Bioinfo Course
- B.I.G. Summer 2023
- B.I.G. Summer Application
- Bioinformatics PhD
- Bruins-In-Genomics (B.I.G.) Summer Program
- Core Faculty
- Director’s Welcome
- Home
- Research Prep Course
- The Collaboratory – People
- About
- Application for Conference Travel Funds
- B.I.G. Summer 2021
- B.I.G. Summer 2022
- Bioinformatics BSc
- Major Projects
- Partners
- Seminar Series
- Workshops
- Advisory Board
- Archived Workshops
- B.I.G. Summer 2020
- Comp Sys Bio BSc
- Events
- Research Meetings
- Schedule of Workshops
- Support/Facilities
- W1: Intro to Unix command line
- B.I.G. Summer 2019
- Opportunities
- Python Hackathon
- W2: Using NGS Analysis Tools
- Workshops
- B.I.G. Summer 2018
- Research
- Services
- Symposium
- W3: Intro to R and Data Visualization
- Annual QCBio Retreats
- B.I.G. Summer 2017
- Events Archive
- W4: Galaxy for NGS Data Analysis
- B.I.G. Summer 2016
- Education
- Fellow Award Opportunities
- UCLA Galaxy
- W5a: RNA-seq I Analysis – Measuring gene expressions from RNA-seq data
- B.I.G. Summer 2015
- Recent Publications
- W5b: RNA-Seq II Analysis – Differential gene expression and pathway analysis
- Resources
- FAQ
- RNA-seq III Analysis – De novo transcriptome assembly using Trinity
- W6: BS-Seq DNA Methylation Analysis with Hoffman2 and R
- W7: ChIP-seq Analysis
- W8: Variant Calling with GATK
- W9: Intro to Python
- Intro to Hi-C
- W10: Mathematical Modeling of Cell Signaling
- W11: Metagenomics Analysis with Python and R
- W12: Intro to MATLAB
- Intro to Phylogenetics
- W13: Genetic Analysis (VCF-Plink)
- W14: Intro to Modern Statistics with R
- W15: Bacterial Genomics
- W16: Library Prep for NGS
- W17: Machine Learning with Python
- W18: Advanced Python
- W19: Statistical Rigor in Genomics Data Analysis
- W20: Single-Cell RNA-Seq Analysis with R
- PATRIC Bioinformatics Resource Center Workshop
- W21: Image Processing for Microscopy
- W22: Intro to Cytoscape
- UCSC Genome Browser
- W23: Advanced Cytoscape
- W24: Cancer Genomics
- W25: UCSC Genome Browser
- W26: Careers in Biotechnology for Bachelor’s and Master’s students
- BS-Sequencing
- RAD-Seq Analysis
- W27: Systems biology of metabolism – workflows and resources for multi-omics data integration
- W28: Advanced Data Visualization w/ ggplot2
- W29: Demultiplexing QC/Good Practices — Hidden Surprises and Illumina Sequencing
- W30: Statistical Methods for Enhancing the Rigor in Single-cell RNA-seq Data Analysis
- W31: Spatial Transcriptomics
- W32: GitHub/Docker
- W33: Analysis of Electronic Health Records
- W34: Automated Machine Learning
- W35: Advanced Statistics: Regression Models and Statistical Rigor
- W36: Advanced UNIX: Scripting and Queueing for Large Data
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