Immunolyser Offline Report — Job ID: 89f92f48-52eb-4a85-a844-bc816eaa5fec
Peptide Length Distribution
ⓘ Peptide length distribution of uploaded samples. Peptides labelled #CONTAM or #DECOY are filtered out. Length range: 5–30 residues.
Peptide Overlap
ⓘ UpSet plot of peptide overlap across samples after pre-processing. For MHC class I: 8–14-mers; class II: 12–20-mers.
Peptide Consensus Binding Motif Analysis
ⓘ Seq2Logo showing consensus binding motifs after pre-processing.
Peptide Sequence Clustering with Predicted MHC Allele Assignment
ⓘ Gibbs Clustering applied after removing contaminants, decoys, PTMs, and duplicates. Each logo shows the predicted source allotype and PCC value (MHC-TP).
Liver
Hepa_Set1_DDA
Clustering with highest KLD
One cluster
Two clusters
Three clusters
Four clusters
Five clusters
Six clusters
#1 H2Kb (0.43), #2 H2Db (0.37), #3 H2Dd (0.36)
#1 H2Kd (0.27), #2 H2Kb (0.21), #3 H2Qa1 (0.15)
#1 H2Kk (0.59), #2 H2Kq (0.52), #3 H2Qa2 (0.5)
#1 H2Db (0.56), #2 H2Dd (0.41), #3 H2Kb (0.36)
#1 H2Kk (0.49), #2 H2Kq (0.43), #3 H2Qa2 (0.42)
#1 H2Db (0.44), #2 H2Dd (0.3), #3 H2Qa1 (0.29)
#1 H2Kk (0.56), #2 H2Kq (0.49), #3 H2Qa2 (0.48)
#1 H2Kb (0.46), #2 H2Dd (0.36), #3 H2Db (0.35)
#1 H2Kb (0.43), #2 H2Db (0.37), #3 H2Dd (0.36)
#1 H2Kd (0.27), #2 H2Kb (0.21), #3 H2Qa1 (0.15)
#1 H2Kk (0.59), #2 H2Kq (0.52), #3 H2Qa2 (0.5)
#1 H2Db (0.56), #2 H2Dd (0.41), #3 H2Kb (0.36)
#1 H2Kb (0.41), #2 H2Db (0.35), #3 H2Dd (0.34)
#1 H2Kd (0.34), #2 H2Kb (0.28), #3 H2Qa1 (0.19)
#1 H2Db (0.58), #2 H2Dd (0.48), #3 H2Kb (0.39)
#1 H2Kk (0.61), #2 H2Kq (0.53), #3 H2Qa2 (0.52)
#1 H2Qa1 (0.21), #2 H2Db (0.2), #3 H2Kb (0.19)
#1 H2Db (0.58), #2 H2Dd (0.44), #3 H2Kb (0.38)
#1 H2Kd (0.27), #2 H2Kb (0.21), #3 H2Qa1 (0.12)
#1 H2Kb (0.37), #2 H2Qa1 (0.31), #3 H2Qa2 (0.31)
#1 H2Kk (0.61), #2 H2Kq (0.54), #3 H2Qa2 (0.53)
#1 H2Kb (0.42), #2 H2Dd (0.41), #3 H2Db (0.39)
#1 H2Db (0.2), #2 H2Qa1 (0.18), #3 H2Kd (0.15)
Skin
Skin_Set1_DDA
Clustering with highest KLD
One cluster
Two clusters
Three clusters
Four clusters
Five clusters
Six clusters
#1 H2Kb (0.44), #2 H2Db (0.39), #3 H2Dd (0.37)
#1 H2Kd (0.3), #2 H2Qa1 (0.2), #3 H2Kb (0.19)
#1 H2Kk (0.63), #2 H2Kq (0.55), #3 H2Qa2 (0.54)
#1 H2Db (0.23), #2 H2Kb (0.22), #3 H2Qa1 (0.21)
#1 H2Kk (0.51), #2 H2Kq (0.44), #3 H2Qa2 (0.42)
#1 H2Kb (0.45), #2 H2Db (0.44), #3 H2Dd (0.38)
#1 H2Kb (0.25), #2 H2Kd (0.22), #3 H2Db (0.21)
#1 H2Kk (0.59), #2 H2Kq (0.51), #3 H2Qa2 (0.5)
#1 H2Kb (0.44), #2 H2Db (0.39), #3 H2Dd (0.37)
#1 H2Kd (0.3), #2 H2Qa1 (0.2), #3 H2Kb (0.19)
#1 H2Kk (0.63), #2 H2Kq (0.55), #3 H2Qa2 (0.54)
#1 H2Db (0.23), #2 H2Kb (0.22), #3 H2Qa1 (0.21)
#1 H2Kb (0.36), #2 H2Qa1 (0.31), #3 H2Qa2 (0.28)
#1 H2Qa2 (0.19), #2 H2Kd (0.18), #3 H2Qa1 (0.15)
#1 H2Kd (0.32), #2 H2Kb (0.32), #3 H2Qa1 (0.24)
#1 H2Kk (0.6), #2 H2Qa2 (0.52), #3 H2Kq (0.52)
#1 H2Db (0.51), #2 H2Dd (0.47), #3 H2Kb (0.41)
#1 H2Kb (0.44), #2 H2Dd (0.41), #3 H2Db (0.37)
#1 H2Kk (0.62), #2 H2Kq (0.53), #3 H2Qa2 (0.52)
#1 H2Qa1 (0.35), #2 H2Kb (0.33), #3 H2Kd (0.28)
#1 H2Kd (0.22), #2 H2Qa1 (0.16)
#1 H2Dd (0.45), #2 H2Kb (0.4), #3 H2Db (0.37)
#1 H2Qa2 (0.19), #2 H2Kd (0.19), #3 H2Db (0.18)
Spleen
Spleen_Set1_DDA
Clustering with highest KLD
One cluster
Two clusters
Three clusters
Four clusters
Five clusters
Six clusters
#1 H2Qa2 (0.2), #2 H2Kd (0.19), #3 H2Db (0.16)
#1 H2Db (0.56), #2 H2Dd (0.42), #3 H2Kb (0.32)
#1 H2Dd (0.42), #2 H2Kb (0.4), #3 H2Qa2 (0.37)
#1 H2Kd (0.21), #2 H2Kb (0.14)
#1 H2Kb (0.37), #2 H2Qa1 (0.32), #3 H2Kd (0.29)
#1 H2Kk (0.59), #2 H2Kq (0.52), #3 H2Qa2 (0.51)
#1 H2Kb (0.48), #2 H2Db (0.43), #3 H2Dd (0.41)
#1 H2Kk (0.45), #2 H2Qa2 (0.42), #3 H2Kq (0.41)
#1 H2Kk (0.58), #2 H2Kq (0.51), #3 H2Qa2 (0.49)
#1 H2Kd (0.25), #2 H2Qa1 (0.22), #3 H2Db (0.16)
#1 H2Kb (0.48), #2 H2Dd (0.39), #3 H2Db (0.39)
#1 H2Db (0.52), #2 H2Dd (0.41), #3 H2Kb (0.39)
#1 H2Kk (0.57), #2 H2Kq (0.49), #3 H2Qa2 (0.48)
#1 H2Kd (0.2), #2 H2Qa2 (0.19), #3 H2Qa1 (0.19)
#1 H2Kb (0.44), #2 H2Dd (0.35), #3 H2Qa1 (0.34)
#1 H2Qa2 (0.19), #2 H2Qa1 (0.19), #3 H2Db (0.18)
#1 H2Kb (0.4), #2 H2Dd (0.28), #3 H2Qa1 (0.28)
#1 H2Kk (0.62), #2 H2Qa2 (0.55), #3 H2Kq (0.55)
#1 H2Db (0.3), #2 H2Kd (0.19), #3 H2Qa1 (0.13)
#1 H2Dd (0.5), #2 H2Db (0.46), #3 H2Kb (0.44)
#1 H2Qa2 (0.2), #2 H2Kd (0.19), #3 H2Db (0.16)
#1 H2Db (0.56), #2 H2Dd (0.42), #3 H2Kb (0.32)
#1 H2Dd (0.42), #2 H2Kb (0.4), #3 H2Qa2 (0.37)
#1 H2Kd (0.21), #2 H2Kb (0.14)
#1 H2Kb (0.37), #2 H2Qa1 (0.32), #3 H2Kd (0.29)
#1 H2Kk (0.59), #2 H2Kq (0.52), #3 H2Qa2 (0.51)
MHC-TP (MHC Typing Prediction)
ⓘ Predicted MHC I alleles based on peptide clustering (MHC-TP). Note: interactive HTML result files are not included in this export.
Liver
Liver — Hepa_Set1_DDA — Hepa_Set1_DDA — clust-search-result.html (open full report on server to view)
Skin
Skin — Skin_Set1_DDA — Skin_Set1_DDA — clust-search-result.html (open full report on server to view)
Spleen
Spleen — Spleen_Set1_DDA — Spleen_Set1_DDA — clust-search-result.html (open full report on server to view)
Peptide-HLA/MHC Binding Affinity Prediction — Downloads
ⓘ Majority-voted binder CSV files for each sample and allele. Click a replicate name to download.
Liver
Skin