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Workflow and scheme for the database. (A) Step 1: Dataset preparations. Dat... Open Access
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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Tissue-specificity of TP53 mutation and candidate driver mutations. (A) Rad... Open Access
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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Overview of the TearFluid database schema. The relational design of the dat... Open Access
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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Protein data page. The Protein Data Table displays Sample ID, Accession ID,... Open Access
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
Panorama: a database for the oncogenic evaluation of somatic mutations in pan-cancer Open Access
Database, Volume 2026, 2026, baaf086, https://doi.org/10.1093/database/baaf086
Published: 16 January 2026
Journal Article
Tear fluid database: a reference website for tear fluid proteomics Open Access
Database, Volume 2026, 2026, baaf091, https://doi.org/10.1093/database/baaf091
Published: 16 January 2026
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Use cases of Panorama. (A) Kaplan–Meier survival curves for SMARCA4 mutatio... Open Access
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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Overview of the TearFluid platform architecture. The top panel illustrates ... Open Access
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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Overview of proteomic expression across samples. Proteins passing a QValue ... Open Access
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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The web interface of Panorama. (A) Overview of the Panorama web interface, ... Open Access
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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Protein summary page. The Protein Summary Table displays Accession ID, Prot... Open Access
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
ePerturbDB: enhancer’s experimental perturbation database Open Access
Database, Volume 2026, 2026, baaf084, https://doi.org/10.1093/database/baaf084
Published: 15 January 2026
Journal Article
H-SPAR DB: human spaceflight platform for analysis and research—an integrative omics database for space health Open Access
Database, Volume 2026, 2026, baaf083, https://doi.org/10.1093/database/baaf083
Published: 15 January 2026
Journal Article
GdbMTB: a manually curated genomic database of magnetotactic bacteria Open Access
Database, Volume 2026, 2026, baaf090, https://doi.org/10.1093/database/baaf090
Published: 15 January 2026
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SynVectorDB web interface. The main interface showing the search functional... Open Access
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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SynVectorDB system architecture. Dual-mode deployment architecture showing ... Open Access
Published: 15 January 2026
Figure 2.
SynVectorDB system architecture. Dual-mode deployment architecture showing (A) cloud-native stack and (B) local development environment.
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Distribution of perturbed enhancer loci and eRNA according to experimental ... Open Access
Published: 15 January 2026
Figure 2.
Distribution of perturbed enhancer loci and eRNA according to experimental method. (A) Pie chart showing the fraction of enhancer perturbations in ePerturbDB, which are based on major methods (CRISPR-Cas9 and CRISPRi). (B) Pie chart showing the distribution of enhancer or eRNA perturbation (in ePert
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Application screenshots for mined data search, differential expression anal... Open Access
Published: 15 January 2026
Figure 1.
Application screenshots for mined data search, differential expression analysis, and set operations. (a) The main search field in the Mined Data tab allows the user to filter entries using specific keywords (e.g. ‘Radiation’) and summarize the results in the interactive barplot. (b) Expanding the an
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Architecture of GdbMTB. GdbMTB consists of MTB genomic data and a user-frie... Open Access
Published: 15 January 2026
Figure 1.
Architecture of GdbMTB. GdbMTB consists of MTB genomic data and a user-friendly website interface. The genomic data has three components: core data, metadata, and technical support. The core data includes MTB genomes sourced from available public databases. Bioinformatics analyses are then applied t
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Recommended MTB genomic analysis pipeline with bioinformatic tools. This pi... Open Access
Published: 15 January 2026
Figure 4.
Recommended MTB genomic analysis pipeline with bioinformatic tools. This pipeline serves as a detailed reference for analyzing newly obtained MAGs/SAGs, comprising five components: quality assessment, taxonomic and phylogenetic analysis, MGC analysis, metabolic function profiling, and data organizat
