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Journal Article
Carlos Patron-Rivero and others
Database, Volume 2026, 2026, baaf085, https://doi.org/10.1093/database/baaf085
Published: 19 January 2026
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Published: 19 January 2026
Figure 1. Morphometric traits measured in each Porthidium specimen, based on standardized anatomical views. (A) Dorsal view of the whole body showing total length, head width, and mid-body width and height; (B) ventral view highlighting snout–vent length and tail length; (C) lateral view of the head illustr
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Published: 19 January 2026
Figure 2. Body and head scales assessed in Porthidium . (A) Dorsal view of the entire body, showing the arrangement of ventral and caudal scales. (B) Enlarged dorsal view of the body, highlighting the mid-row dorsal scales and lateral dorsal scales. (C) Lateral view of the head, indicating subocular, postocu
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Published: 19 January 2026
Figure 3. Dorsal view of the head of Porthidium , showing the arrangement of landmarks used in geometric morphometric analyses. 1-8 points represent landmarks, while other points represent semi-landmarks derived from curves, placed at equidistant intervals along anatomical edges. Illustration by Carlos Patro
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Published: 16 January 2026
Figure 1. Workflow and scheme for the database. (A) Step 1: Dataset preparations. Data were collected from proteogenomics and multiomics datasets from multiple tissues and biological data types. The number of samples per tissue is shown in parentheses. (B) Step 2: Preprocessing. Data filtering criteria and to
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Published: 16 January 2026
Figure 4. Tissue-specificity of TP53 mutation and candidate driver mutations. (A) Radar plots displaying the evaluation of TP53 mutations across 12 cancer types. Each sector of the radar plot represents a different functional category: PB, EP, IM, PE, and AD. (B) Distribution of the AOS across 12 cancer types
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Published: 16 January 2026
Figure 2. Overview of the TearFluid database schema. The relational design of the database highlights interoperability among tables. The ‘ID’ fields represent hidden, unique server-side identifiers for each record. The ‘Sample ID’ and ‘Accession ID’ fields serve as foreign keys that enable integration across
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Published: 16 January 2026
Figure 4. Protein data page. The Protein Data Table displays Sample ID, Accession ID, Protein Symbol, MaxLFQ value, Posterior Error Probability (PEP), and QValue for each protein-sample pair.
Journal Article
Seung-Jin Park and Seon-Young Kim
Database, Volume 2026, 2026, baaf086, https://doi.org/10.1093/database/baaf086
Published: 16 January 2026
Journal Article
Drew Mayernik and others
Database, Volume 2026, 2026, baaf091, https://doi.org/10.1093/database/baaf091
Published: 16 January 2026
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Published: 16 January 2026
Figure 3. Use cases of Panorama. (A) Kaplan–Meier survival curves for SMARCA4 mutations in LUAD from CPTAC (left) and TCGA (right) datasets. Log-rank test. (B) Box plots comparing Z-differences in mRNA and protein expression levels for AURKA across multiple breast cancer (BRCA) cohorts. P -value is calculate
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Published: 16 January 2026
Figure 1. Overview of the TearFluid platform architecture. The top panel illustrates the model–view–controller (MVC) architecture of the TearFluid Database. Controllers query the Microsoft SQL database, process the data as models, and present them to users through views. Each page includes a set of interactiv
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Published: 16 January 2026
Figure 3. Overview of proteomic expression across samples. Proteins passing a QValue threshold of 0.01 are included (n  = 2134). Mean log-transformed MaxLFQ expression is plotted against the proportion of samples in which each protein is detected. Proteins are categorized into four abundance classes: Rare (&l
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Published: 16 January 2026
Figure 2. The web interface of Panorama. (A) Overview of the Panorama web interface, (1) logo of the Panorama database, (2) a brief description and functionalities of the Panorama database, and (3) Panorama menu bar. (B) Detailed view of the Panorama database function interface: (1) a brief description of the
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Published: 16 January 2026
Figure 5. Protein summary page. The Protein Summary Table displays Accession ID, Protein Symbol, Protein Description, Gene Symbol, total and average protein abundance, Sample detection proportion, and molecular characteristics for each protein, including amino acid count, molecular weight, and calculated isoe
Journal Article
Samiksha Maurya and others
Database, Volume 2026, 2026, baaf084, https://doi.org/10.1093/database/baaf084
Published: 15 January 2026
Journal Article
Marios Tomazou and others
Database, Volume 2026, 2026, baaf083, https://doi.org/10.1093/database/baaf083
Published: 15 January 2026
Journal Article
Runjia Ji and others
Database, Volume 2026, 2026, baaf090, https://doi.org/10.1093/database/baaf090
Published: 15 January 2026
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Published: 15 January 2026
Figure 1. SynVectorDB web interface. The main interface showing the search functionality, database statistics overview, and part discovery features.
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Published: 15 January 2026
Figure 2. SynVectorDB system architecture. Dual-mode deployment architecture showing (A) cloud-native stack and (B) local development environment.