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Venomics is a highly interdisciplinary research field that has grown four-f... Open Access
Published: 30 May 2026
Figure 1
Venomics is a highly interdisciplinary research field that has grown four-fold over the last 50 years. Venoms occur throughout the animal kingdom from invertebrates such as marine snails, scorpions, and a broad diversity of insects to vertebrates such as snakes and fish. Venoms can comprise thousand
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The relative abundance of the top 10 protein families in Tox-Prot remains b... Open Access
Published: 30 May 2026
Figure 3
The relative abundance of the top 10 protein families in Tox-Prot remains broadly consistent over time. The alluvial plot tracks the 10 most abundant protein families (by 2025 count) in Tox-Prot in 2005, 2015, and 2025. Each bar segment represents a protein family with its absolute count and relativ
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Squamata (snakes and lizards) are the most represented order in Tox-Prot, a... Open Access
Published: 30 May 2026
Figure 2
Squamata (snakes and lizards) are the most represented order in Tox-Prot, accounting for roughly a third of all venom protein entries throughout two decades of database growth. The line chart tracks the number of entries for the five most represented taxonomic orders in Tox-Prot from 2005 to 2025. S
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Functional clustering of the 10 most abundant venom protein families in Tox... Open Access
Published: 30 May 2026
Figure 7
Functional clustering of the 10 most abundant venom protein families in Tox-Prot 2025 reveals distinct separation between short peptide toxins and large enzymatic families. Two-dimensional UMAP [ 21 ] projection of ProtT5 embeddings [ 19 ], where each point represents a venom protein coloured by pro
Journal Article
Quantitative analysis of growth and diversification in venom data using database metrics Open Access
Database, Volume 2026, 2026, baag032, https://doi.org/10.1093/database/baag032
Published: 30 May 2026
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Only 11 of 264 venom protein families are shared between terrestrial and ma... Open Access
Published: 30 May 2026
Figure 4
Only 11 of 264 venom protein families are shared between terrestrial and marine species, yet these families account for the majority of Tox-Prot entries. (A) Distribution of entries, species, and protein families by habitat in the 2025 Tox-Prot dataset. Terrestrial species (green, bottom) dominate i
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Short mature venom peptides of 26–75 amino acids (aa) dominate Tox-Prot, wi... Open Access
Published: 30 May 2026
Figure 5
Short mature venom peptides of 26–75 amino acids (aa) dominate Tox-Prot, with the database showing a strongly right-skewed length distribution across all three time points. The stacked histogram displays the mature peptide length distribution of Tox-Prot entries, in 25 aa bins, for 2005 (yellow, bot
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Disulfide bonds are the dominant post-translational modification in venom p... Open Access
Published: 30 May 2026
Figure 6
Disulfide bonds are the dominant post-translational modification in venom proteins, with three and four bridges per protein being the most frequent. (A) The 10 most common PTM types across Tox-Prot snapshots (2005, yellow-bottom; 2015, orange-middle; and 2025, dark red-top). Disulfide bonds (5618) v
Journal Article
FAD: a comprehensive database merging information about food allergens Open Access
Database, Volume 2026, 2026, baag028, https://doi.org/10.1093/database/baag028
Published: 27 May 2026
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Flowchart of the pipeline followed to integrate food allergens into FAD. ... Open Access
Published: 27 May 2026
Figure 1
Flowchart of the pipeline followed to integrate food allergens into FAD. For image description, please refer to the figure legend and surrounding text.
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The image depicts the mapping of three Tri a 14 linear epitopes on the repr... Open Access
Published: 27 May 2026
Figure 2
The image depicts the mapping of three Tri a 14 linear epitopes on the representative structure 1BWO, visualized using PyMOL [ 31 ]. The epitopes are highlighted in black, where ‘A’ corresponds to the epitope sequence GQCCDGVKNL and is located on a helical region, ‘B’ corresponds to the epitope sequ
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Improved metadata quality for curatedMetagenomicData. (A) Attribute compres... Open Access
Published: 22 May 2026
Figure 2
Improved metadata quality for curatedMetagenomicData . (A) Attribute compression. The left bar (‘Original Metadata’) displays 142 original attributes colour-coded by the harmonized attribute(s) into which they were consolidated. The right bar (‘Curated Metadata’) shows the resulting 66 harmonized a
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Overview of the harmonization process and quality metrics. (A) Simplified w... Open Access
Published: 22 May 2026
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Overview of the harmonization process and quality metrics. (A) Simplified workflow showing the major steps in metadata harmonization. The harmonization process begins with ‘Original Metadata’ from heterogeneous research-driven omics data sources. During the ‘Schema Mapping’ step, conceptually simila
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Improved metadata quality for cBioPortalData. (A) The left bar (‘Original M... Open Access
Published: 22 May 2026
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Improved metadata quality for cBioPortalData . (A) The left bar (‘Original Metadata’) represents 673 original attributes selected for harmonization based on completeness, clinical relevance, and prevalence across studies. Colours indicate which harmonized attribute(s) each original field contribute
Journal Article
Large-scale manual curation and harmonization of metadata from metagenomic and cancer genomic repositories: challenges and solutions Open Access
Database, Volume 2026, 2026, baag027, https://doi.org/10.1093/database/baag027
Published: 22 May 2026
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Repository-wide statistics enabled by harmonized metadata. (a) Comprehensiv... Open Access
Published: 22 May 2026
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Repository-wide statistics enabled by harmonized metadata. (a) Comprehensive ancestry distribution across cBioPortal studies. UpSet plot showing the distribution of 134 032 samples from 218 studies across eight standardized ancestry categories and their combinations. The top bar chart displays inter
Journal Article
MetaCancerDB: a database of site-specific RNA–miRNA correlations in cancer metastasis Open Access
Database, Volume 2026, 2026, baag026, https://doi.org/10.1093/database/baag026
Published: 19 May 2026
Journal Article
FuNGI: Fungal Nucleolar Genomic Inventory—a comprehensive database of fungal proteins with predicted nucleolar localization signals Open Access
Database, Volume 2026, 2026, baag023, https://doi.org/10.1093/database/baag023
Published: 19 May 2026
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Applications of TEITbase. (A) The homepage of TEITbase. (B) Box plot showin... Open Access
Published: 19 May 2026
Figure 3
Applications of TEITbase. (A) The homepage of TEITbase. (B) Box plot showing the promoter activity of L1HS in TCGA tumours (top) and GTEx normal tissues (bottom). (C) Box plot showing the promoter activity of L1HS in LUSC and adjacent normal tissues. (D) Box plot illustrating the promoter activity o
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RNA–miRNA correlation networks specific to four metastatic sites of BLCA. (... Open Access
Published: 19 May 2026
Figure 1
RNA–miRNA correlation networks specific to four metastatic sites of BLCA. (A) Subnetworks show top-ranked RNA–miRNA pairs (P .001) specific to bone (blue), liver (yellow), lung (purple), and lymph node (red) metastases. Yellow nodes in the networks represent miRNAs and cyan nodes represent RNAs.
