Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Genomics02:02

Genomics

35.8K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
35.8K
Proteomics01:33

Proteomics

7.2K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
7.2K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.7K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Centrifugal microfluidic automation of the protein aggregation capture workflow for robust mass spectrometry-based proteomics.

Lab on a chip·2026
Same author

Divergent Resilience of Bacterial and Fungal Gut Microbiota After Colorectal Surgery: Insights From a Prospective Longitudinal Cohort Study.

MedComm·2026
Same author

Deep phenotyping of an ATDC5 in-vitro cartilage model system.

Bone reports·2026
Same author

Specificity profiling of SARS-CoV-2 PLpro using proteome-derived libraries of linear peptides suggests secondary preference for basic motifs.

Archives of biochemistry and biophysics·2026
Same author

mmContext: an open framework for multimodal contrastive learning of omics and text data.

Bioinformatics (Oxford, England)·2026
Same author

MR-SP<sup>2</sup>: A Microreactor-Based Workflow for Few-Cell Spatial Proteomics on the Legacy Zeiss PALM MicroBeam.

Journal of proteome research·2026
Same journal

Peripheral B-cell receptor repertoire predicts immune-related adverse events following immune checkpoint inhibitor therapy in advanced renal cell carcinoma.

Scientific reports·2026
Same journal

Effects of black soldier fly (Hermetia illucens L.) larvae zoocompost on the mineral element content of blue honeysuckle berries.

Scientific reports·2026
Same journal

Investigation on absorption refrigeration performance of R1243zf with imidazolium ionic liquid as the working pairs.

Scientific reports·2026
Same journal

DeepTriage-CN: integrating clinical text with vital signs for emergency department admission prediction in an aging population.

Scientific reports·2026
Same journal

Gold nanoparticles as dual-action antiviral agents: disruption of SARS-CoV-2 viral envelopes and RNA integrity.

Scientific reports·2026
Same journal

Comparison of capillary microsampling and venous blood for multi-pathogen serosurveillance.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: May 30, 2025

Author Spotlight: Unveiling the Role of TMOD3 in Platinum Resistance and Immune Infiltration in Ovarian Cancer
09:40

Author Spotlight: Unveiling the Role of TMOD3 in Platinum Resistance and Immune Infiltration in Ovarian Cancer

Published on: August 2, 2024

2.6K

Characterizing the omics landscape based on 10,000+ datasets.

Eva Brombacher1,2,3,4, Oliver Schilling5,6,7, Clemens Kreutz8,9

  • 1Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany.

Scientific Reports
|January 25, 2025
PubMed
Summary
This summary is machine-generated.

Omics data characteristics vary significantly across proteomics, metabolomics, lipidomics, transcriptomics, and microbiome studies. Understanding these variations is key for selecting appropriate computational methods and avoiding analysis bias.

More Related Videos

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.1K
Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

2.2K

Related Experiment Videos

Last Updated: May 30, 2025

Author Spotlight: Unveiling the Role of TMOD3 in Platinum Resistance and Immune Infiltration in Ovarian Cancer
09:40

Author Spotlight: Unveiling the Role of TMOD3 in Platinum Resistance and Immune Infiltration in Ovarian Cancer

Published on: August 2, 2024

2.6K
Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.1K
Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

2.2K

Area of Science:

  • Multi-omics data analysis
  • Computational biology
  • Bioinformatics

Background:

  • Data characteristics from omics technologies critically influence downstream computational analyses like data harmonization and differential abundance testing.
  • Variability in omics data characteristics across datasets leads to inconsistent outcomes in benchmarking studies, impacting method selection.
  • Omics analysis tools are often developed within specific communities due to presumed technology-specific data characteristics.

Purpose of the Study:

  • To investigate and characterize data variations across proteomics, metabolomics, lipidomics, transcriptomics, and microbiome datasets.
  • To develop a tool for assessing the representativeness of an omics dataset within its discipline.
  • To illustrate the impact of data characteristics on analyses, using normalization with missing values as an example.

Main Methods:

  • Analysis of over ten thousand omics datasets.
  • Identification of patterns in data characteristics specific to different omics types.
  • Development and application of a dataset representativeness assessment tool.
  • Case study on normalization methods considering missing data.

Main Results:

  • Identified distinct data characteristic patterns for proteomics, metabolomics, lipidomics, transcriptomics, and microbiome data.
  • Developed a tool to evaluate omics dataset representativeness.
  • Demonstrated how data characteristics, such as missing values, affect normalization procedures.
  • Highlighted significant variability in data characteristics across omics disciplines.

Conclusions:

  • Omics data exhibit technology-specific characteristic patterns that influence computational analyses.
  • Systematic inspection of data characteristics is crucial for robust benchmarking and downstream analysis.
  • The developed tool aids researchers in understanding dataset representativeness.
  • Addressing data characteristic variability is essential to prevent suboptimal method selection and analytical bias.