Online Tools Tutorial

This page walks through how to prepare inputs and run each tool. Use the examples below as templates, then adapt them to your data to get reliable results.

Table of contents

DEG: Differential Gene Expression

Upload a raw count matrix with one gene per row and samples in columns. Make sure sample names match your group labels exactly, and keep counts untransformed (no TPM/RPKM).

Example input
Gene	Sample_A1	Sample_A2	Sample_B1	Sample_B2
BRCA1	123	118	95	102
BRCA2	45	51	38	41
TP53	300	289	275	290
EGFR	210	198	165	172

Pathway Analysis

Provide a ranked gene list with fold change or logFC values. This should be ordered in descending order (highest logFC at the top) so enrichment tools interpret the direction correctly.

Example input
Gene	logFC
MYC	2.35
STAT3	1.88
VEGFA	1.42
EGFR	1.10
BRCA1	0.85
BRCA2	0.41
TP53	0.10

ID2Symbol: ID Mapping

Supply Ensembl (ENSG) or Entrez IDs, one per line. Remove version suffixes like ".1" from Ensembl IDs and select the correct organism to avoid mismatches.

Example input
GeneID
ENSG00000187243
ENSG00000171316
ENSG00000213071
ENSG00000237440
ENSG00000111305

ssGSEA: Single-Sample GSEA

Use an expression matrix with genes in rows and samples in columns. The tool expects normalized values (such as log2 TPM) and gene sets in GMT format.

Example input
Gene	Sample_1	Sample_2	Sample_3
TP53	7.2	7.5	6.9
BRCA1	5.1	5.3	4.9
BRCA2	4.6	4.9	4.2
EGFR	6.0	5.7	5.5
MYC	8.2	8.0	7.8

For the FASTQ-to-counts workflow tutorial, click here.