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

Data: Types and Distribution01:19

Data: Types and Distribution

2.1K
In biostatistics, data are the observations collected for analysis. There are two main types: parametric and non-parametric. Parametric data, which include continuous (e.g., weight) and discrete numerical data (e.g., number of tablets), assume a particular distribution pattern, often the normal distribution. Non-parametric data do not adhere to a specific distribution and typically comprise nominal (e.g., gender) and ordinal categorical data (e.g., pain scale ratings).
Distributions in...
2.1K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.8K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.8K
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

21.4K
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
21.4K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

7.2K
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...
7.2K
Gene Families01:57

Gene Families

10.2K
Gene families consist of groups of genes proposed to have originated from a common ancestor. Typically these arise through events in which a gene or genes are mistakenly duplicated during cell division. Unlike their parent genes (which are subject to selection pressure to maintain function), these gene copies do not need to preserve their sequences and may evolve at a relatively faster rate.
Occasionally these regions can be adapted to take on new roles within the organism, becoming novel genes...
10.2K

You might also read

Related Articles

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

Sort by
Same author

A linguistics-based algorithm for RBP motif and context discovery.

bioRxiv : the preprint server for biology·2026
Same author

Transposable element-gene chimera cartography, origination and role in enhancing transcriptome plasticity.

Nature structural & molecular biology·2026
Same author

A novel NLP-based method and algorithm to discover RNA-binding protein (RBP) motifs, contexts, binding preferences, and interactions.

RNA (New York, N.Y.)·2026
Same author

Natural language-based representation and modeling of RBP binding.

bioRxiv : the preprint server for biology·2026
Same author

An expanded registry of candidate cis-regulatory elements.

Nature·2026
Same author

PsychENCODE at 10: From genomic maps to mechanistic insights in mental illness.

Neuron·2025
Same journal

High-Throughput Microbial Assay for Amino Acid Measurement in Ground Maize Seed Samples Utilizing Auxotrophic <i>E. coli</i>.

Cold Spring Harbor protocols·2025
Same journal

Grain Quality in Maize.

Cold Spring Harbor protocols·2025
Same journal

High-Throughput Assay for Measuring Phytate and Available Phosphorus in Ground Maize Seed Samples.

Cold Spring Harbor protocols·2025
Same journal

Functional Genomic Analysis of Transposon Insertion Mutant Maize Plants from the UniformMu National Public Resource.

Cold Spring Harbor protocols·2025
Same journal

The UniformMu National Public Resource: Transposon<i>-</i>Induced Mutant Seeds for Functional Genomics Studies in Maize.

Cold Spring Harbor protocols·2025
Same journal

Insights from the Study of B<i>-</i>Cell Epitopes of a Microbial Pathogen by Phage Display.

Cold Spring Harbor protocols·2025
See all related articles

Related Experiment Video

Updated: Mar 17, 2026

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

3.4K

Data Formats in Bioinformatics.

Jui-Hung Hung, Zhiping Weng

    Cold Spring Harbor Protocols
    |August 3, 2016
    PubMed
    Summary
    This summary is machine-generated.

    This study presents common data formats used in bioinformatics. These interchangeable formats facilitate data sharing and analysis in biological research.

    More Related Videos

    A Web Tool for Generating High Quality Machine-readable Biological Pathways
    08:01

    A Web Tool for Generating High Quality Machine-readable Biological Pathways

    Published on: February 8, 2017

    18.6K
    Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
    09:43

    Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

    Published on: November 22, 2019

    6.9K

    Related Experiment Videos

    Last Updated: Mar 17, 2026

    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

    3.4K
    A Web Tool for Generating High Quality Machine-readable Biological Pathways
    08:01

    A Web Tool for Generating High Quality Machine-readable Biological Pathways

    Published on: February 8, 2017

    18.6K
    Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
    09:43

    Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

    Published on: November 22, 2019

    6.9K

    Area of Science:

    • Bioinformatics
    • Computational Biology
    • Data Science

    Background:

    • Bioinformatics relies heavily on standardized data formats for efficient data processing.
    • Interoperability between different bioinformatics tools and databases is crucial for research advancement.

    Purpose of the Study:

    • To introduce and describe several commonly used, interchangeable data formats in bioinformatics.
    • To provide a foundational understanding of data representation in biological research.

    Main Methods:

    • Review and description of prevalent bioinformatics data formats.
    • Explanation of the characteristics and interchangeability of these formats.

    Main Results:

    • Identification and overview of key bioinformatics data formats.
    • Demonstration of their interchangeable nature and common applications.

    Conclusions:

    • Standardized data formats are essential for modern bioinformatics.
    • Understanding these formats enhances data analysis and collaboration in biological sciences.