Data Science Insitute
Center for Computational Molecular Biology
Honors Designation
Comp Bio Honors Registration
In order to be considered a candidate for honors, students will be expected to maintain an outstanding record in concentration courses. In addition, students should take at least one semester, and are strongly encouraged to take 2 semesters, of reading and research with a CCMB faculty member or approved advisor to complete their research. Students must submit to a public defense of their theses to be presented in an open forum to the CCMB community scheduled in the latter half of April.
Deadlines:
- 1st Friday in October
- submit the below form registering your honors thesis and advisor
- submit a 1 page outline of your project including working title, and a few brief paragraphs describing the research project, the lab you will be working with, methodology you will be using, and your desired end goal for the project to ccmb@brown.edu
- either your primary supervisor or the 2nd reader (or both) must be a current CCMB core or affiliate faculty member
- 1st Friday in February
- submit a short progress report regarding your research project to ccmb@brown.edu
- include the name of the second reader (faculty member not your advisor)
- 1st Friday in April
- submit final draft of thesis project to ccmb@brown.edu
- 3rd Week of April
- Present your thesis project and findings in the Comp Bio Honors Thesis presentations, date will be circulated in Fall semester.
Honors Thesis Archive
A small selection of past honors thesis projects presented by our students prior to graduation
2024
- Identification of Genomic Markers for use in Haploid Selection Mapping to Define Loci Conferring Reproductive Success at Varying Temperatures in Arabidopsis thaliana
- Adaptive Significance of Amphicarpy as a Bet-hedging Strategy in American Hog-peanut
- Computational Analysis of the Impact of GA-binding Transcription Factor CLAMP on Splicing Condensate Dynamics in Drosophila
2023
- Application of LSTM Autoencoders on HIV-1 RNA Sequence to Create Latent Space Representations for Viral Subtyping
- Deep Learning Models with Attention Mechanism for Predicting Gene Expression from Epigenetic Data in Glioblastoma Stem Cells
- Development and Comparative Analysis of Counterfactual Explanations Using Autoencoder-Based Approaches for Single-Cell Data
- Exploring the Association of Vitamin D Supplementation on Psoriasis Disease Activity
- Predicting Glioblastoma Multiforme (GBM) Gene Expression from Epigenetic Markers and Super Enhancers
2022
- Deep Generative and Predictive Modeling of Single Cell RNA-Seq Time Series Data
- Entropy Analysis of m6A Transcriptomic Profile in Entacapone-Treated Glioblastoma Stem Cells
- Explaining Patterns of Widespread Loss of Heterozygosity in Cancer
- Heritability estimates are stable across different tranches of the UK Biobank
- Temporal Haplotype Changes of Vaccine Candidates for Malaria
2021
- A HiC map of the senescent genome at kilobase resolution reveals novel associations between chromatin changes and gene expression
- Alternative Splicing Analysis of Tripeptidyl Peptidase 1 Mutations in CLN2 Batten Disease Models
- Coiaf: Complexity Of Infection Estimation with Allele Frequencies
- Evaluation of quantitative magnetic resonance imaging to predict intracranial hypertension in neonates by machine learning
- Exploring Graph-Based Neural Networks for Modeling Long-Range Epigenetic Gene Regulation
- Multilocus Informativeness: A Novel Method for Fine-Mapping Disease-Causing Variants in Genome-Wide Association Studies
- XVSY - pipeline to identify shared and distinct genomic signatures from multiple expression and protein-DNA interaction data sets over time