Register and join our comprehensive Workshop Series: Mastering Single-Cell Analysis with Partek Flow to gain a deep understanding of single cell data analysis. This four-part series, leveraging Partek Flow software, will cover the entire workflow, from data import, pre processing to results interpretation and visualization.
Explore the fundamentals of single cell technologies and Partek Flow software. Learn how to seamlessly transition from Fastq to single cell countmatrix using 10x Cloud and Partek flow.
Dive into basic ScRNASeq analysis using Partek Flow, focusing on one sample dataset. Gain hands-on experience with data analysis workflows and visualization.
Delve into advanced ScRNASeq analysis techniques using Partek Flow, exploring multiple sample datasets. Enhance your skills in complex single cell rnaseq data analysis covering advanced options such as batch effects correction methods, and visualization techniques.
Discover the power of single cell multiomics analysis using Partek Flow, covering CITESeq, ScATACSeq, and more. Integrate multiple data types for comprehensive insights.
Upon completing this series, you should be able to
Experimental biologists seeking to analyze single cell sequencing data generated through experiments or retrieved from a repository such as GEO. The software covered in the workshop operates through a user-friendly, point-and-click graphical user interface, so no programming expereince is required.
HSLS Software Registration for PartekFlow
scRNA-seq best practices : A digital book which aims to teach common workflows for the analysis of single-cell RNA Seq |
Garnett : A tool for automated cell type classification |
CellMarker database : CellMarker 2.0: an updated database of manually curated cell markers in human/mouse and web tools based on scRNA-seq data |
SequenceENG: An interactive learning resource for next-generation sequencing (NGS) techniques |
Awesome-single-cell : List of software packages (and the people developing these methods) for single-cell data analysis, including RNA-seq, ATAC-seq, etc. |
Cell Ranger : A set of analysis pipelines that process Chromium single-cell data to align reads, generate feature-barcode matrices, perform clustering and other secondary analysis, and more |
Azimuth - A tool for rapid mapping of query datasets to references |
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PangloDB : A database for the scientific community interested in exploration of single cell RNA sequencing experiments from mouse and human |
Annotation of cell types (ACT): A convenient web server for cell type annotation |
*Current best practices in single‐cell RNA‐seq analysis: a tutorial
A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications
Single-cell RNA sequencing technologies and bioinformatics pipelines
Single-cell sequencing to multi-omics: technologies and applications
Integrated analysis of multimodal single-cell data. Cell 184, 3573-3587.e29 (2021)
Single-cell multiomics: technologies and data analysis methods Nature Review (2020)
Please include the following statement in the acknowledgments section for all publications, posters, and presentations:
[software name, such as Partek Flow ] software licensed through the Molecular Biology Information Service of the Health Sciences Library System, University of Pittsburgh (RRID:SCR_011975) was used for data analysis.