Blog

Hot

Beginner for KEGG Pathway Analysis: The Complete Guide

Apr 24, 2024

Explore KEGG Pathway Analysis with our complete guide. Learn how to navigate the KEGG database, decode pathway maps, and apply enrichment analysis in transcriptome and multi-omics research.

Online Webiner - From Proteome to Complexome: Unveiling the Next Frontier in Proteogenomics

Nov 18, 2025

Live webinar — Nov 18, 9:00–10:00 AM EST (online). Discover how AI deconvolves protein complexes from large-scale affinity proteomics to reveal causal biomarkers and drug targets. Join our live webinar.

Label-Free Quantification (LFQ) Workflow: A Step-by-Step Guide from MS Spectra to Protein Abundance

Apr 28, 2026

Learn how LFQ converts MS1 signals into protein abundance through feature detection, alignment, XIC integration, normalization, and quantification.

ORA vs GSEA: Choosing the Right Pathway Enrichment Method

Apr 27, 2026

Compare ORA and GSEA for omics pathway enrichment and learn when to use each method for proteomics interpretation.

Multiple Testing Correction in Proteomics: FWER vs FDR Methods

Apr 27, 2026

Learn how Bonferroni, Holm, Hochberg, BH, and BY corrections control false positives in differential proteomics and when to use each method.

ANOVA vs Welch ANOVA vs Kruskal-Wallis for Multi-Group Omics Data

Apr 21, 2026

Learn when to use ANOVA, Welch ANOVA, or Kruskal-Wallis for multi-group omics data, and avoid common statistical mistakes in proteomics and metabolomics.

What Are Oxysterols? Roles in Cholesterol Metabolism, Immunity, and Disease

Apr 21, 2026

Learn what oxysterols are, how they regulate cholesterol metabolism and immune signaling, and why they matter in disease and LC-MS/MS analysis.

How to Select Regions of Interest (ROI) in Spatial Metabolomics

Apr 20, 2026

Learn how to select ROI in spatial metabolomics using morphology, MSI, AI, and multi-modal strategies for more accurate biological interpretation

p-Value vs FDR in Omics: Adjusted p-Value and q-Value Explained

Apr 20, 2026

Understand p-value, adjusted p-value, FDR, and q-value in omics, and choose better thresholds for proteomics and metabolomics studies.

Statistical Tests for Differential Protein Expression in Proteomics

Apr 17, 2026

Learn when to use t-test, Wilcoxon, ANOVA, or Kruskal-Wallis for differential protein expression in proteomics, with practical selection guidance.

Proteomics Raw Data Reanalysis: How to Unlock New Biological Insights from Legacy Datasets

Apr 17, 2026

Learn when and why to reanalyze legacy proteomics raw data, and how updated databases, PTMs, and search tools can reveal new biological insights.

T-Test vs Welch's T-Test vs Mann–Whitney U: Which Test Should You Use in Omics?

Apr 16, 2026

Learn how to choose between Student's t-test, Welch's t-test, and Mann–Whitney U for omics data based on variance, sample size, outliers, and biological meaning.

KEGG vs GO vs COG/KOG: Choosing the Right Functional Annotation Strategies for Multi-Omics Analysis

Apr 16, 2026

Understand the differences between COG/KOG, GO, and KEGG, and learn how to choose the right functional annotation strategy for multi-omics data analysis.

Plant Metabolomics: A Comprehensive Guide to Metabolite Classes, Analytical Platforms, Workflow, and Applications

Apr 15, 2026

Learn plant metabolomics fundamentals, key metabolite classes, major platforms, standard workflows, and real applications in plant research.

Widely-Targeted Metabolomics: Workflow, Advantages, and Applications

Apr 15, 2026

Learn what widely-targeted metabolomics is, how its workflow combines DDA and MRM, and why it improves metabolite coverage, reproducibility, and quantitative reliability.

Cholesterol in Health and Disease: Functions, Metabolism, Homeostasis, and Omics Research

Apr 14, 2026

Learn what cholesterol is, how it is made and regulated, why it matters in disease, and how lipidomics, metabolomics, proteomics, and multi-omics advance cholesterol research.

COG vs KOG Functional Annotation: Differences, Workflow, and Multi-Omics Applications

Apr 14, 2026

Learn the difference between COG and KOG, how functional annotation works, and how to apply enrichment analysis in multi-omics research.

Differential Feature Screening in Omics: Why the Best Candidate Is Not Always the One with the Smallest p-Value

Apr 09, 2026

Learn how to evaluate fold change, p-value, FDR, and VIP in omics studies to build more reliable candidate lists for biomarker screening and differential analysis.

How to Choose the Right Spatial Resolution in MSI for Spatial Metabolomics

Apr 08, 2026

Learn how to choose the right spatial resolution in MSI for spatial metabolomics using practical rules, sample-based guidance, and common application examples.