Version 0.11 July 3, 2024
We released a new schedule version!
Version 0.10 July 3, 2024
We released a new schedule version!
We have a new session: “Closing Remarks” by Erica Feick .
Version 0.9 June 13, 2024
We released a new schedule version!
We have a new session: “Meet the CAB/TAB/Core Team” .
Version 0.8 May 21, 2024
We released a new schedule version!
Version 0.7 May 20, 2024
We released a new schedule version!
We had to move some sessions, so if you were planning on seeing them, check their new dates or locations:
- “Computational framework for inference of genetic ancestry from challenging human molecular data” by Pascal Belleau (July 26, 2024, 9:05 a.m. → July 26, 2024, 9 a.m.)
- “Statistical modelling of microRNA-seq data” by Seong-Hwan Jun (July 24, 2024, 2:05 p.m. → July 24, 2024, 1:50 p.m.)
- “Cell type co-localization and cell type-specific microenvironment analysis on spatial transcriptomics data” by Mengbo Li (July 25, 2024, 11:20 a.m. → July 25, 2024, 11:15 a.m.)
- “Singlet: Fast and Interpretable Dimension Reduction of Single-cell Data” by Zachary DeBruine (July 25, 2024, 9:05 a.m. → July 25, 2024, 9 a.m.)
- “microgenomeR: an R workflow for integrating genomic metadata and bacterial phenotypes” by Raymond Lesiyon (July 24, 2024, 3 p.m. → July 24, 2024, 2:55 p.m.)
- “Visualization of functional enrichment results into biological networks with Bioconductor enrichViewNet package” by Astrid Deschênes (July 26, 2024, noon → July 26, 2024, 11:55 a.m.)
- “Assigning treatment regimens to Irish patients in head and neck squamous cell carcinoma with large language models” by Kaushal Bhavsar, Gauri Vaidya, Deleted User, Meghana Kshirsagar, Conor Ryan (July 26, 2024, 11:30 a.m. → July 26, 2024, 11:25 a.m.)
- “OmicsMLRepo: Ontology-leveraged metadata harmonization to improve AI/ML-readiness of omics data in Bioconductor” by Sehyun Oh (July 26, 2024, 11:40 a.m. → July 26, 2024, 11:35 a.m.)
- “Exvar: An R Package for Gene Expression And Genetic Variation Data Analysis And Visualization” by Hiba Ben Aribi (July 26, 2024, 9:15 a.m. → July 26, 2024, 9:10 a.m.)
- “PathSeeker: A Statistical Package for Enhanced Pathogen Identification and Characterization in RNA Sequencing Data” by Mercedeh Movassagh (July 24, 2024, 2:50 p.m. → July 24, 2024, 2:35 p.m.)
- “A hierarchical Bayesian model for the identification of technical length variants in miRNA sequencing data” by Hannah Swan (July 24, 2024, 1:45 p.m. → July 24, 2024, 1:30 p.m.)
- “Assessing differential expression strategies for small RNA sequencing using real and simulated data” by Ernesto Aparicio-Puerta (July 24, 2024, 1:55 p.m. → July 24, 2024, 1:40 p.m.)
- “Scalable count-based models for unsupervised detection of spatially variable genes” by Boyi Guo (July 25, 2024, 11:30 a.m. → July 25, 2024, 11:35 a.m.)
- “Multi-omic analysis methods for identifying phenotypic plasticity” by Kelly Street (July 26, 2024, 9:45 a.m. → July 26, 2024, 9:40 a.m.)
- “scHiCcompare - differential analysis of single-cell Hi-C data” by My Nguyen (July 25, 2024, 9:15 a.m. → July 25, 2024, 9:20 a.m.)
- “GeneSetCluster 2.0: an upgraded comprehensive toolset for summarizing and integrating gene-sets analysis” by Asier Ortega Legarreta (July 26, 2024, 11:50 a.m. → July 26, 2024, 11:45 a.m.)
- “Patterns: Deciphering Biological Networks with Patterned Heterogeneous (multiOmics) Measurements” by Myriam Maumy (July 26, 2024, 9:35 a.m. → July 26, 2024, 9:30 a.m.)
- “Context is important! Identifying context aware spatial relationships with Kontextual.” by Farhan Ameen (July 25, 2024, 11:45 a.m. → July 25, 2024, 12:05 p.m.)
- “iscream: Fast and memory efficient (sc)WGBS data handler” by James Eapen (July 25, 2024, 9:20 a.m. → July 25, 2024, 9:30 a.m.)
- “vmrseq: Probabilistic Modeling of Single-cell Methylation Heterogeneity” by Ning Shen (July 25, 2024, 9:25 a.m. → July 25, 2024, 9:40 a.m.)
- “A scalable and flexible network-based approach to identify, diagnose, and resolve mislabeled samples in molecular data” by Charles Deng, Ryan Thompson (July 26, 2024, 12:10 p.m. → July 26, 2024, 12:05 p.m.)
- “Using high-throughput spatial proteomics as a platform to elucidate protein relocalisation events during viral production” by Charlotte Hutchings (July 25, 2024, 11:40 a.m. → July 25, 2024, 11:55 a.m.)
- “Sobol4RV: sensitivity in random settings” by Frederic Bertrand (July 24, 2024, 2:25 p.m. → July 24, 2024, 2:10 p.m.)
- “Unraveling the Intricate Molecular Landscape and Potential Biomarkers in Lung Adenocarcinoma through Integrative Epigenomic and Transcriptomic Data Analysis” by Arnab Mukherjee (July 26, 2024, 9:25 a.m. → July 26, 2024, 9:20 a.m.)
- “SpotSweeper: spatially-aware quality control for the removal of technical artifacts and local outliers in spatial transcriptomics” by Michael Totty (July 25, 2024, 11:35 a.m. → July 25, 2024, 11:45 a.m.)
- “amR: an R package to predict and explore the top antimicrobial resistance features” by Janani Ravi (July 24, 2024, 2:55 p.m. → July 24, 2024, 2:45 p.m.)
- “Statistical Methods for the Tissue Microenvironment of Multiplex Images in a Clinical-relevant Manner” by Pratheepa Jeganathan, Xinyue Cui (July 24, 2024, 3:20 p.m. → July 24, 2024, 3:15 p.m.)
- “Engineering Foundation Models of Single-cell Transcriptomics Data” by Zachary DeBruine (July 26, 2024, 11:20 a.m. → July 26, 2024, 11:15 a.m.)
- “miRglmm: modeling isomiR-level counts improves estimation of miRNA-level differential expression and uncovers variable differential expression between isomiRs” by Andrea Baran (July 24, 2024, 2:15 p.m. → July 24, 2024, 2 p.m.)
Version 0.6 May 20, 2024
We released a new schedule version!
Version 0.5 May 20, 2024
We released a new schedule version!
We have a new session: “Welcome Session” .
Version 0.4 May 20, 2024
We released a new schedule version!
We have a new session: “Interoperability between R and Python using BiocPy Workshop” by Jayaram Kancherla .
We have moved a session around: “Statistical Methods for the Tissue Microenvironment of Multiplex Images in a Clinical-relevant Manner” by Pratheepa Jeganathan, Xinyue Cui (July 24, 2024, 3:10 p.m. → July 24, 2024, 3:20 p.m.)
Version 0.3 May 16, 2024
We released a new schedule version!
We have new sessions!
- “Computational framework for inference of genetic ancestry from challenging human molecular data”
- “Statistical modelling of microRNA-seq data”
- “Singlet: Fast and Interpretable Dimension Reduction of Single-cell Data”
- “Computational Approaches in Functional Genomics: Understanding Gene Regulation and Development, Luca Pinello, PhD”
- “Statistical Methods for the Tissue Microenvironment of Multiplex Images in a Clinical-relevant Manner”
- “Long-read methylation data analysis with NanoMethViz and Bioconductor”
- “Challenges and Opportunities in the Statistical Analysis of Single Cell High Throughput Chromatin Conformation Capture Data, Sündüz Keleş, PhD”
- “The impact of package selection and versioning on single-cell RNA-seq analysis”
- “A hierarchical Bayesian model for the identification of technical length variants in miRNA sequencing data”
- “scHiCcompare - differential analysis of single-cell Hi-C data”
- “Scalable count-based models for unsupervised detection of spatially variable genes”
- “Supervised Multiview Learning: the Case for One-Size-Fits-All and Bespoke Machine Learning Methods, Sandra Safo, PhD”
- “Multi-omic analysis methods for identifying phenotypic plasticity”
- “Ontologies for Genomics: new approaches with Bioconductor's ontoProc”
- “bamSliceR: Estimation of Transcripts origin of Variants by a Bayesian Approach Using RNA-seuencing data.”
- “Patterns: Deciphering Biological Networks with Patterned Heterogeneous (multiOmics) Measurements”
- “Context is important! Identifying context aware spatial relationships with Kontextual.”
- “iscream: Fast and memory efficient (sc)WGBS data handler”
- “vmrseq: Probabilistic Modeling of Single-cell Methylation Heterogeneity”
- “A scalable and flexible network-based approach to identify, diagnose, and resolve mislabeled samples in molecular data”
- “Sobol4RV: sensitivity in random settings”
- “Using Artificial Intelligence to Support Dataset Finding, Image Accessibility, and Bioinformatics Education, Stephen Piccolo, PhD”
- “Unraveling the Intricate Molecular Landscape and Potential Biomarkers in Lung Adenocarcinoma through Integrative Epigenomic and Transcriptomic Data Analysis”
- “amR: an R package to predict and explore the top antimicrobial resistance features”
- “Igniting full-length isoform and mutation analysis of single-cell RNA-seq data with FLAMES”
- “Using high-throughput spatial proteomics as a platform to elucidate protein relocalisation events during viral production”
- “Engineering Foundation Models of Single-cell Transcriptomics Data”
- “OmicsMLRepo: Ontology-leveraged metadata harmonization to improve AI/ML-readiness of omics data in Bioconductor”
- “Exploratory spatial data analysis from single molecules to multiple samples”
- “Inclusive internships in genomic data science: Outreachy and Bioconductor”
- “PathSeeker: A Statistical Package for Enhanced Pathogen Identification and Characterization in RNA Sequencing Data”
- “Bayesian Inference of RNA Velocity from Single-Cell Multi-Omic Data, Joshua Welch, PhD”
- “Unraveling Immunogenomic Diversity in Single-Cell Data”
- “Assessing differential expression strategies for small RNA sequencing using real and simulated data”
- “Identification of spatial domains by smoothing for compositional analyses in spatial transcriptomics data”
- “GeneSetCluster 2.0: an upgraded comprehensive toolset for summarizing and integrating gene-sets analysis”
- “BioC lightning talks (Day 1)”
- “Introduction to Package Development”
- “Live-fire reproducible research: htmlwidgets, observable, webR, and Bioconductor”
- “Applying tidy principles to investigating chromatin composition and architecture”
- “SpotSweeper: spatially-aware quality control for the removal of technical artifacts and local outliers in spatial transcriptomics”
- “Easy access, interactive exploration and analysis of public gene expression datasets with Phantasus”
- “BioC lightning talks (Day 3)”
- “Visualization of functional enrichment results into biological networks with Bioconductor enrichViewNet package”
- “Exvar: An R Package for Gene Expression And Genetic Variation Data Analysis And Visualization”
- “miRglmm: modeling isomiR-level counts improves estimation of miRNA-level differential expression and uncovers variable differential expression between isomiRs”
Version 0.2 May 15, 2024
We released a new schedule version!
Version 0.1 May 15, 2024
We released our first schedule!