SeqAcademy

SeqAcademy provides a pipeline for processing and analyzing RNA-Seq and ChIP-Seq datasets to demonstrate computational workflows from raw sequencing reads to biological interpretation.

Key Features:

• Supported Data Types: Analysis of RNA sequencing (RNA-Seq) and chromatin immunoprecipitation sequencing (ChIP-Seq) datasets.
• Public Data Utilization: Use of publicly available RNA-Seq and ChIP-Seq datasets for practical analyses.
• Integration of Bioinformatics Tools: Combination of popular bioinformatics tools into preconfigured computational workflows for read-to-interpretation analyses.
• Biological Use Case: Inclusion of a biological example based on a previously published yeast experiment to demonstrate application of analytical steps.
• Analysis Steps Covered: Coverage of core processing steps including quality control, alignment, quantification, and visualization of sequencing data.

Scientific Applications:

• Educational Training: Demonstrating standard RNA-Seq and ChIP-Seq computational workflows for training and methodological familiarization.
• Method Demonstration: Illustrating application of quality control, alignment, quantification, and visualization methods on real datasets, including a yeast use case.
• Data Interpretation Foundation: Providing a foundation for interpreting public RNA-Seq and ChIP-Seq data and for developing downstream biological hypotheses.

Methodology:

Workflow steps explicitly include quality control, alignment, quantification, and visualization of RNA-Seq and ChIP-Seq sequencing data.