Interesting links
Here are some interesting links for you! Enjoy your stay :)Pages
- #5439 (no title)
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- W4: Galaxy for NGS Data Analysis
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- W5a: RNA-seq I Analysis – Measuring gene expressions from RNA-seq data
- B.I.G. Summer 2015
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- W5b: RNA-Seq II Analysis – Differential gene expression and pathway analysis
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- 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: MERFISH/seqFISH
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- W26: Careers in Biotechnology for Bachelor’s and Master’s students
- BS-Sequencing
- RAD-Seq Analysis
- W27: Systems biology of metabolism – workflows and resources for multi-omics data integration
- W28: Intro to Phylogenetics
- 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: Analysis of Electronic Health Records
- W34: Automated Machine Learning
- W35: Advanced Statistics: Regression Models and Statistical Rigor
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