Outreachy Active 2026
Bioconductor
About the Organization
Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data using R and statistical computing.
Primary Technologies & Languages
rshinypythoncppbioconductor
Technical Topics & Focus Areas
genomicsbioinformaticsdata-sciencesingle-cell
Participation Years
Completed Projects Distribution
Annual Completed Projects History
BioconductorHover over bars to view completed counts
4
3
2
1
0
20252026
Projects4
Years Active2
Stackr
TierTier 1
Past Projects
Showing 4 of 4 projects. Click any project card for scope, mentors, and proposal studio.
Single-Cell RNA Sequence Quality Metrics Visualizer
IntermediateMentors: Lori Shepherd, Aedin Culhane
Build an interactive Shiny & R package for single-cell transcriptomics QC analysis and automated artifact reporting.
Single-Cell RNA Sequence Quality Metrics Visualizer & Artifact Reporter
IntermediateMentors: Lori Shepherd, Aedin Culhane
<p>Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data using R and statistical computing.</p><p>This project will deliver a comprehensive interactive Shiny framework that guides researchers through single-cell transcriptomics QC analysis, matrix transformations, and automated artifact reporting.</p><p><br></p><p><strong>Deliverables:</strong></p><ul><li>A production R/Shiny package for single-cell QC.</li><li>Automated HTML report generator for artifact telemetry.</li></ul><p><br></p><p><strong>Applications closing date: 25-Apr-2026</strong></p><p><strong>Mentee confirmation: 10-May-2026</strong></p>
Spatial Transcriptomics Pipeline Optimization
AdvancedMentors: Martin Morgan, Vincent Carey
Accelerate genomic matrix transformations and multi-sample alignment routines for high-dimensional spatial datasets.
Spatial Transcriptomics Matrix Transformation Pipeline Optimization
AdvancedMentors: Martin Morgan, Vincent Carey
<p>Accelerate high-dimensional spatial genomic matrix alignment and multi-sample normalization routines for large-scale spatial transcriptomics datasets.</p><p>Mentee will benchmark memory utilization and implement parallelized matrix transformations using C++ extensions inside BiocParallel.</p><p><br></p><p><strong>Deliverables:</strong></p><ul><li>Parallel C++ kernel extensions for BiocParallel.</li><li>Benchmark suite comparing CPU/RAM throughput.</li></ul><p><br></p><p><strong>Applications closing date: 15-Nov-2025</strong></p>