Bulk RNA-seq 流程概览

网站原有的方法流程入口。

Reference SOP / 06

Bulk RNA-seq: alignment workflow.

This reference workflow covers standard gene-level quantification from paired-end reads. The project plan should define the reference build, strandedness, biological contrasts, and exclusion criteria before analysis begins.

Core sequence

WORKING REFERENCE
FASTQ + sample sheet fastp HISAT2 index HISAT2 alignment QC + counts

The minimum archive includes the sample sheet, reference FASTA and annotation identifiers, fastp reports, HISAT2 and samtools statistics, a gene-count matrix, software versions, parameters, logs, and the script that joins sample-level results.

  • Validate sample names, read pairs, checksums, and metadata before processing.
  • Run fastp with adapter detection and quality filtering; retain both HTML and JSON reports.
  • Build the HISAT2 index once from the declared reference; store the command, annotation splice sites, and reference checksum.
  • Align each sample with a consistent strandedness policy; sort and index BAM files and capture alignment statistics.
  • Quantify genes with a declared annotation and counting rule; verify library complexity, mapping rate, duplication, and sample relationships before differential analysis.