ReviewInternational journal of molecular sciences2020
Bioinformatics Methods for Mass Spectrometry-Based Proteomics Data Analysis.
Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
126 citing papers in PubMed.
- The effect of aging on post-translational modifications of wild-type human SOD1 and the A5V ALS mutant.GeroScience · 2026Article
- [Effect of inorganic pyrophosphatase PPA1 on proliferation and apoptosis of abnormal naive cells in acute B-lymphocytic leukemia].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2026Article
- Multi-omics combined analysis of turmeric volatile oil alleviating allergic rhinitis through the JNK/MAPK-Relb/NF-κB pathway.NPJ science of food · 2026Article
- Zero-shot de novo peptide sequencing with open posttranslational modification discovery.Nature biotechnology · 2026Article
- Integrated transcriptomic and proteomic analyses identify novel biomarkers of bladder outlet obstruction.bioRxiv : the preprint server for biology · 2026Article
- Developing blood extracellular vesicle protein biomarkers for hepatocellular carcinoma: mechanisms, methods, and translation.Journal of nanobiotechnology · 2026Review
- Integrative Analysis of Multimodal Omics Data.Annual review of statistics and its application · 2026Article
- Mass Spectrometry Proteomics: A Key to Faster Drug Discovery.Journal of medicinal chemistry · 2026Review
- From empirical vaccinology to predictive systems-based vaccine design: multi-omics integration, artificial intelligence, and global equity challenges.Frontiers in systems biology · 2026Review
- Simple, Fast, and Reliable Analysis of Label-Free Proteomics Data With the Proteomics Eye (ProtE).Proteomics. Clinical applications · 2026Article
- Applications and Prospects of Artificial Intelligence in ProteomicsCurrent protein & peptide science · 2026Review
- Integrated bioinformatics analysis identifies RPS27A and PPP2R1A as shared hub genes in heart failure and COVID-19.Journal of cardiothoracic surgery · 2025Article
- Review
- Deep learning-driven multi-omics analysis: enhancing cancer diagnostics and therapeutics.Briefings in bioinformatics · 2025Review
- Proteomic-based stemness score measures oncogenic dedifferentiation and enables the identification of druggable targets.Cell genomics · 2025Article
- Highlighted gene expression alteration in human pancreatic isolated islets in patients with type 2 diabetes.Journal of diabetes and metabolic disorders · 2025Article
- Affinity on Demand: A One-Pot Method for Synthesis and Sample Enrichment Using TentaGel-Functionalized Resins.ACS omega · 2025Article
- Identification of noval diagnostic biomarker for HFpEF based on proteomics and machine learning.Proteome science · 2025Article
- Mass Spectrometry-Based Proteomics in Clinical Diagnosis of Amyloidosis and Multiple Myeloma: A Review (2012-2024).Journal of mass spectrometry : JMS · 2025Review
- CENPF as a prognostic marker of glioma: unraveling the molecular mechanisms.Journal of cancer research and clinical oncology · 2025Article
66 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Recent advances in mass spectrometry (MS)-based proteomics have enabled tremendous progress in the understanding of cellular mechanisms, disease progression, and the relationship between genotype and phenotype. Though many popular bioinformatics methods in proteomics are derived from other omics studies, novel analysis strategies are required to deal with the unique characteristics of proteomics data. In this review, we discuss the current developments in the bioinformatics methods used in proteomics and how they facilitate the mechanistic understanding of biological processes. We first introduce bioinformatics software and tools designed for mass spectrometry-based protein identification and quantification, and then we review the different statistical and machine learning methods that have been developed to perform comprehensive analysis in proteomics studies. We conclude with a discussion of how quantitative protein data can be used to reconstruct protein interactions and signaling networks.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.