diff --git a/assays/Salmon_quantification/protocols/TranscriptQuantification.md b/assays/Salmon_quantification/protocols/TranscriptQuantification.md
index e1334ae339503e2fd2d7084fd23f5ebd9cd91390..6525491caed011bee1f23de35cbea7f0abfc67db 100644
--- a/assays/Salmon_quantification/protocols/TranscriptQuantification.md
+++ b/assays/Salmon_quantification/protocols/TranscriptQuantification.md
@@ -1,3 +1,3 @@
 ## Transcript Quantification with Salmon
 
-To quantify transcripts, all cleaned reads were mapped to the BaRT1 reference (Rapazote-Flores et al., 2019) using Salmon (v. 0.14.1) (Patro et al., 2017), and the mapping rates were estimated with an average of ∼93%. We kept transcripts with a minimum of 1 CPM (counts per million) in at least three samples. Normalization of TPM (transcript per million) was conducted using the ‘ThreeDRNAseq’ R package (v2.0.1) (Guo et al., 2021). For TPM values, see Supplementary Dataset 2 and 3. As the samples were collected at different DAEs and RNA extraction was conducted in several batches, we removed the batch effect in the gene count by using the ThreeDRNAseq’ R package (v2.0.1) (Guo et al., 2021).
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+To quantify transcripts, all cleaned reads were mapped to the BaRT1 reference (Rapazote-Flores et al., 2019) using Salmon (v. 0.14.1) (Patro et al., 2017), and the mapping rates were estimated with an average of ∼93%.
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diff --git a/assays/ThreeDRNAseq/isa.assay.xlsx b/assays/ThreeDRNAseq/isa.assay.xlsx
index 00e33319e8a4ae90081cc6cf516b7015bea118e4..beda1e9f31c63a02d7376f26ed2b4945e17e502f 100644
Binary files a/assays/ThreeDRNAseq/isa.assay.xlsx and b/assays/ThreeDRNAseq/isa.assay.xlsx differ
diff --git a/assays/ThreeDRNAseq/protocols/NormalizationWithThreeDRNAseq.md b/assays/ThreeDRNAseq/protocols/NormalizationWithThreeDRNAseq.md
new file mode 100644
index 0000000000000000000000000000000000000000..dec8f6102cd7da953729f530c2654ec481679d34
--- /dev/null
+++ b/assays/ThreeDRNAseq/protocols/NormalizationWithThreeDRNAseq.md
@@ -0,0 +1,3 @@
+## Normalization with ThreeDRNAseq R package
+
+We kept transcripts with a minimum of 1 CPM (counts per million) in at least three samples. Normalization of TPM (transcript per million) was conducted using the ‘ThreeDRNAseq’ R package (v2.0.1) (Guo et al., 2021). For TPM values, see Supplementary Dataset 2 and 3. As the samples were collected at different DAEs and RNA extraction was conducted in several batches, we removed the batch effect in the gene count by using the ThreeDRNAseq’ R package (v2.0.1) (Guo et al., 2021).
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