Poster zum Thema "Data Integration: With Bioinformatics to Biological Knowledge"

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  • iP-21
ProteoBench: a community-curated platform for comparison of proteomics data analysis workflows
  • Robbin Bouwmeester (Zwijnaarde / BE)
  • P-III-0763
Overcoming notorious challenges in prokaryotic genome annotation: identifying missed small proteins with proteogenomics and Ribo-seq and consolidating genome annotations
  • P-III-0764
Evaluating Phospho-peptides quantification across various acquisition methods and bioinformatic tools: novel standards and their utility in algorithm development
  • P-III-0765
Complex portal: a resource for functionally annotated macromolecular complexes
  • P-III-0766
Autoprot: a modular package for processing, analysis and visualization of mass spectrometry proteomics data in Python
  • P-III-0767
Cross talk between Parkinson's disease and Alzheimer's disease in identification of concordant and discordant marker
  • P-III-0768
Integrating proteomics and PTM data for comprehensive multi-omics analysis
  • P-III-0770
The annotation of post-translation modifications in UniProtKB
  • P-III-0771
PROTzilla – an open-source analysis platform for proteomics and peptidomics data for paper-ready visualizations
  • P-III-0772
Linking the human metabolome and proteome in UniProtKB through Rhea
  • P-III-0773
Confident protein datasets for liquid-liquid phase separation studies
  • P-III-0774
Enhancing biomolecule detection with a multi-Omic co-clustering model in mass spectrometry: incorporating additional spatial constraints for detecting latent patterns in imaging
  • P-III-0777
QSample: a quality control system to monitor user's samples in proteomics core facilities
  • P-III-0778
Serving your proteomics analysis needs – the Core Unit for Bioinformatics (CUBiMed.RUB) in Bochum and de.NBI 2.0 / ELIXIR-DE
  • P-III-0779
A shiny application to create a library from DDA data for DIA-NN analysis and its visualization
  • P-III-0780
Investigating the phenotypic proteome of Triple Negative Breast Cancer (TNBC) for precision medicine
  • P-III-0782
A comprehensive and accurate representation of human gene functions from large-scale evolutionary modeling and experimental gene ontology annotation
  • P-III-0783
To be or not to be – a non-canonical ORF MS-detectable?
  • P-III-0785
Paradigm shift in biomarker translation: an innovative and automated pipeline to generate and select clinical-grade signature peptides during DIA discovery
  • P-III-0786
Deciphering cross-cohort metabolic signatures of immune responses and their implications for disease pathogenesis
  • P-III-0787
The uncharted territories of EGF signaling: a deep-dive via short-time phosphoproteomics and network models
  • P-III-0788
Integrating statistical tests for differential analysis in quantitative proteomics: enhancing power while controlling false discoveries
  • P-III-0789
Estimating the taxonomic composition of complex samples using metaproteomics and machine learning
  • P-III-0790
Integrated Omics-Based Knowledgebase BrainProt™ and BDDF: Advancing the Identification of Druggable Proteins
  • P-III-0791
From post-translational modifications to proteoforms
  • P-III-0792
Exploring dynamic behavior with SmartPhos: an integrated pipeline for low-input, high-throughput Phosphoproteomics in clinical samples
  • P-III-0793
Reactome biomolecular pathways database – update
  • P-III-0794
Spectra-sum method for protein qunatification from LC-MS/MS data with TMT-labeling
  • P-III-0795
Machine learning unlocks new insights in ovarian cancer proteomics
  • P-III-0796
Spatial proteomic analysis of breast cancer heterogeneity unravels mechanisms of cancer cell phenotypic plasticity
  • P-III-0797
Evaluating knowledge graphs for disease prediction and therapeutic drug recommendation using proteomics data
  • P-III-0798
TIMS DIA-NN 3.0: improved algorithms to enhance peptide detection with confidence and accuracy
  • P-III-0799
The PRIDE Affinity-proteomics Archive (PRIDE-AP): making affinity proteomics datasets FAIR
  • P-III-0800
Input normalization and PTM stoichiometry calculations in Spectronaut®
  • P-III-0801
A protein sequence-based deep transfer learning framework for identifying human proteome-wide deubiquitinase-substrate interactions
  • P-III-0802
Reproducibility-optimized multi-group statistic and survival analysis
  • P-III-0803
Semares – a semantic and FAIR technology framework for proteomics and multi-omics data integration, analysis and visualization
  • P-III-0804
Functional analysis of (phospho)-proteomic data with rROMA enables per-sample pathway and kinase activity quantification
  • P-III-0805
Functional analysis of MS-based proteomics data: from protein groups to networks
  • P-III-0806
PhosX: data-driven kinase activity inference from phosphoproteomics experiments
  • P-III-0807
Modeling multipartite networks integrating high-throughput phospho-proteomics (ModPhosphoNet)
  • P-III-0808
A Common Data Analysis Pipeline (CDAP) for data independent acquisition mass spectrometry data
  • P-III-0809
Molecular complex navigator: a new way to visualise related complexes in complex portal
  • P-III-0810
A pipeline for designing proteogeno-typic peptide standards to quantify variants: the potential of neutrophil elastase in proteogenomics
  • P-III-0811
PTMNavigator: interactive visualization of differentially regulated post-translational modifications in cellular signaling pathways
  • P-III-0812
KPOP: Korea ProteOme rePository for open access proteomics data
  • P-III-0813
Liver proteome analysis in 111 knock-out mouse models provides crucial references for the function of genes influencing metabolic processes
  • P-III-0814
Are we there yet? Assessing the readiness of single-cell proteomics to answer biological hypotheses
  • P-III-0815
Single nucleus RNA sequencing analysis combined with in vitro validation in human dopaminergic neurons reveals aspects of idiopathic Parkinson's disease pathology
  • P-III-0816
The UniProt KnowledgeBase – supporting proteomics research
  • P-III-0817
SimpliFi in a box: multiomics data analysis on private servers
  • P-III-0818
Complete quantitative data-independent acquisition mass spectrometry workflow using Nextflow
  • P-III-0819
Uniquome: construction and decoding of a novel proteomic atlas that contains new peptide entities
  • P-III-0820
OutCyte UPS 2.0: a representation learning based new tool for leaderless protein secretion prediction
  • P-III-0821
Integrating quantitative proteomics and pharmacoproteomics for reliable biomarker discovery in Alzheimer's disease
  • P-III-0822
Leveraging MD 2.0 to support proteomics-based biomarker discovery
  • P-III-0823
AlphaFold3 and protein modifications: obvious strengths and significant challenges
  • P-III-0824
Beyond the reference code: unveiling multicoding genes and their alternative proteins and microproteins
  • P-III-0825
Human proteome size as a function of development of experimental technologies and bioinformatics methods
  • P-III-0826
Standardization efforts in metaproteomics
  • P-III-0827
Systematic proteomic meta-analysis of osteoblasts, bone, and blood: identifying druggable targets, active factors, and biomarkers for bone biomaterial development
  • P-III-0828
Improved protein quantification by using bipartite peptide-protein graphs
  • P-III-0829
OmicsQ: a user-friendly and interactive platform for quantitative proteomics data analytics
  • P-III-0830
MultiOmicsAgent: guided extreme gradient-boosted decision trees-based approaches for biomarker-candidate discovery in multi-omics data
  • P-III-0831
Systematic discovery and validation of degrader targets using deep proteomics screening combined with bioinformatics
  • P-III-0832
Digital proteome: a resource for target expression across 22 tissues in human and preclinical species
  • P-III-0833
Significantly faster library-free dia-PASEF analysis with a Spectronaut integrated workflow in ProteoScape
  • P-III-0834
BrainProt™: unraveling insights into meningioma tumorigenesis and neurological signaling cascades
  • P-III-0835
Relative quantification of proteins and of post-translational modifications with shared peptides: a weight-based approach
  • P-III-0837
AliceDB – database and bioinformatic tool for identification of natural protein variants based on mass spectrometry measurements
  • P-III-0838
Multilayer data integration and cross-validation of human protein atlas datasets: a generative artificial intelligence driven roadmap to validate DNA target gene predictions of KRAB ZNF proteins
  • P-III-0839
deTELpy: a Python package for high throughput detection of amino acid substitutions in mass spectrometry datasets
  • P-III-0840
Disease-specific antibody databases for bottom-up proteomics
  • P-III-0841
Identification of candidates from high-throughput proteomic profiling of PROTAC-induced degradation
  • P-III-0842
Metadata matters: enhancing TBI proteomics
  • P-III-0843
A meta-analysis of brain and cerebrospinal fluid proteomic profiles of Huntington's disease animal models and human patients
  • P-III-0844
Integrated proteomics analysis of baseline protein expression in pig tissues
  • P-III-0845
Prolfquapp: protein differential expression analysis with advanced R tools and dynamic visual reporting
  • P-III-0846
Enhancing Mass Spectrometry Imaging Accuracy via Spatially Informed Mass Recalibration
  • P-III-0847
Integrating MSstats with INDRA for enhanced interpretation of proteomic differential analysis results
  • P-III-0848
BioLadder: a bioinformatic platform primarily focused on proteomic data analysis
  • P-III-0849
Cell type deconvolution of bulk proteome samples
  • P-III-0850
DORSSAA: Drug-target interactOmics resource based on stability/solubility alteration assay
  • P-III-0851
A data processing pipeline to streamline and evaluate report tables from different mass spectrometry data processing software
  • P-III-0852
The sky is the limit: a cloud-based proteomics platform for the masses
    • v1.20.0
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