About B.I.G. Summer
Bruins-In-Genomics (B.I.G.) Summer Research Program is an 8-week full-time immersion program for undergraduates interested in learning how to read and analyze genes and genomes. Through this program students will have the opportunity to experience graduate-level coursework, and learn the latest cutting-edge research, tools and techniques used by leading scientists to solve real-world problems.
Program Overview
The B.I.G. Summer offers two tracks:
In Track 1, students attend two weeks of hands-on bioinformatics workshops that cover fundamental next generation sequencing data and statistical analysis methods, followed by six weeks of research in a laboratory under the supervision of a UCLA faculty mentor. This track is recommended for students with no prior knowledge of bioinformatics.
In Track 2, students bypass the workshops and join a laboratory at the start of the program. This track is recommended for students who have taken at least one bioinformatics/ biostatistics course and describe their UCLA laboratory preference.
Students in both tracks will participate in weekly science talks, weekly student journal clubs, professional development seminars, social outings and networking opportunities.
At the end of the program students will present their research at a scientific poster session and award ceremony.
Highlights
- Gain research experience and build relationships with UCLA faculty
- Work on cutting-edge research with leading scientists
- Make lifelong friendships
- Trips to LACMA, the Getty Museum, Hollywood, Santa Monica Beach, and many more places
Award Information
Admitted students will receive a $4,200 stipend and on-campus housing accommodations. Funds are also available to cover travel costs and a portion of the GRE prep course.
Sample Schedule
Full-time participation is expected of students. Day-to-day schedule will depend on the lab students are placed in.
Week 1 – 3
- Orientation
- Individual Development Plan
- Track 1: Intensive next generation sequencing workshops. Topics include NGS Analysis Tools, Intro to R, and Python, RNAseq I,II, Modern Statistics, Variant Calling
- Track 2: Full-time research in lab
Week 4 – 8
- Track 1 & 2: Full-time research in lab
- Poster Session & Award Ceremony
Weekly Activities
- Professional Development Workshops
- Journal Club
- GRE Prep Course (eligible students)
- Lab Meetings
Social Activities
- Weekly Virtual Social Hours
- Virtual Activities & Contests
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
- 2024 BIG Summer Schedule of Collaboratory Workshops
- 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
- ERGR Bioinformatics Toolbox
- 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
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- The Collaboratory
- Trainees
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- Videos
- W24: MERFISH/seqFISH
- Applied Bioinfo Course
- B.I.G. Summer 2023
- B.I.G. Summer 2024
- B.I.G. Summer Application
- Bioinformatics PhD
- Bruins-In-Genomics (B.I.G.) Summer Program
- Core Faculty
- 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
- W1a: Unix command line I
- B.I.G. Summer 2019
- Opportunities
- Python Hackathon
- W1b: Unix Command Line II
- 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
- Careers in Biotechnology for Bachelor’s and Master’s students
- 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: Protein Structure with AlphaFold
- 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: Accessing The Clinical Database: An Introduction to SQL and the DDR
- W34: Automated Machine Learning
- W35: Advanced Statistics: Regression Models and Statistical Rigor
- W36: Multi-Omics Integration and Network/Pathway Analysis using Mergeomics
- W37: Applications of Large Language Models
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