praneet1988 / CSBB-ShinyLinks
Computational Suite for Bioinformaticians and Biologists (CSBB) is a RShiny application developed with an intention to empower researchers from wet and dry lab to perform downstream Bioinformatics analysis
☆36Updated 2 years ago
Alternatives and similar repositories for CSBB-Shiny
Users that are interested in CSBB-Shiny are comparing it to the libraries listed below
Sorting:
- A collection of modules that are combined into 1-5 day workshops on computational topics for the childhood cancer research community.☆70Updated last week
- RNA-seq workflow: exploratory analysis and differential expression☆80Updated 2 years ago
- Course material for CSAMA: Statistical Data Analysis for Genome Scale Biology☆94Updated last year
- Make Interactive Complex Heatmaps☆138Updated last year
- 2018 Bioconductor Workshops☆76Updated 6 years ago
- Quantify and interpret divers of variation in multilevel gene expression experiments☆68Updated 3 weeks ago
- Efficient algorithms for analyzing DNA methylation data.☆57Updated last month
- Multi-omic Integration and Analysis of cBioPortal and TCGA data with MultiAssayExperiment☆24Updated 4 months ago
- An R package for accessing genomics data from UCSC Xena platform, from cancer multi-omics to single-cell RNA-seq https://cran.r-project.…☆111Updated last month
- Workshop on tidytranscriptomics: Performing tidy transcriptomics analyses with tidybulk, tidyverse and tidyheatmap☆26Updated 5 years ago
- Functional enrichment analysis of high-throughput omics data☆20Updated 10 months ago
- scDataviz: single cell dataviz and downstream analyses☆64Updated 4 years ago
- ☆61Updated 4 years ago
- Introduction to Computational Biology - source Rmarkdown files☆63Updated last year
- GitKraken lesson (forked from HBS-RCS)☆10Updated 4 years ago
- A collection of resources to filter 'bad' probes from the Illumina 450k and EPIC methylation arrays☆29Updated last year
- Make customized upset plots: from raw data to plots☆62Updated 2 months ago
- Visualise correlation results and test significancies of these☆23Updated 5 years ago
- Data from Lewis, Barnes, Blighe et al., Cell Rep. 2019 Aug 27; 28(9): 2455–2470.e5.☆121Updated 5 years ago
- Statistical power studies for multi-omics experiments.☆32Updated 10 months ago
- 🧬 Gene analysis toolkit based on R☆59Updated 10 months ago
- My youtube programming scripts☆58Updated 10 months ago
- Workshop • Analysis of RNA-seq data☆37Updated last year
- published papers with a lot of data☆74Updated 7 months ago
- ATAC_seq Workshop☆13Updated 7 years ago
- EDA, QC, and DESeq2 / edgeR analysis of 109 RNA-seq samples of immunotherapy treatment☆55Updated 2 years ago
- An R Package for Geneset Enrichment Workflows☆76Updated 2 months ago
- Power analysis is essential to optimize the design of RNA-seq experiments and to assess and compare the power to detect differentially ex…☆107Updated 2 years ago
- An online companion to the OSCA manuscript demonstrating Bioconductor resources and workflows for single-cell RNA-seq analysis.☆37Updated 2 years ago
- ☆26Updated 4 years ago