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

Synthetic Biology02:55

Synthetic Biology

5.4K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
5.4K
The DNA Helix01:16

The DNA Helix

154.8K
Overview
154.8K
RNA Structure01:23

RNA Structure

78.5K
Overview
The basic structure of RNA consists of a five-carbon sugar and one of four nitrogenous bases. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA): messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three RNA types consist of a...
78.5K
Nucleic acids02:43

Nucleic acids

187.8K
Nucleic acids are the most important macromolecules for the continuity of life. They carry the cell's genetic blueprint and carry instructions for its functioning.
DNA and RNA
The two main types of nucleic acids are deoxyribonucleic acid (DNA) and ribonucleic acid (RNA). DNA is the genetic material in all living organisms, ranging from single-celled bacteria to multicellular mammals. It is in the nucleus of eukaryotes and in the organelles, chloroplasts, and mitochondria. In prokaryotes,...
187.8K
Guidelines for Writing Outcome01:11

Guidelines for Writing Outcome

3.5K
When developing expected outcomes for a patient care plan, the nurse should adhere to the following recommendations:
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care...
3.5K
Genetic Lingo01:11

Genetic Lingo

113.3K
Overview
113.3K

You might also read

Related Articles

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

Sort by
Same author

Hash functions in nucleotide sequence analysis.

Genome researchยท2026
Same author

Estimation of substitution and indel rates via <i>k</i>-mer statistics.

Algorithms in bioinformatics : ... International Workshop, WABI ..., proceedings. WABI (Workshop)ยท2026
Same author

A k-mer-Based Estimator of the Substitution Rate Between Repetitive Sequences.

Algorithms in bioinformatics : ... International Workshop, WABI ..., proceedings. WABI (Workshop)ยท2026
Same author

Efficiency of Learned Indexes on Genome Spectra.

LIPIcs : Leibniz international proceedings in informaticsยท2026
Same author

The gift of novelty: repeat-robust <i>k</i>-mer-based estimators of mutation rates.

bioRxiv : the preprint server for biologyยท2026
Same author

Efficiency of Learned Indexes on Genome Spectra.

bioRxiv : the preprint server for biologyยท2025

Related Experiment Video

Updated: Dec 25, 2025

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
07:09

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

Published on: May 28, 2021

10.3K

Ten Simple Rules for writing algorithmic bioinformatics conference papers.

Paul Medvedev1,2,3

  • 1Department of Computer Science and Engineering, The Pennsylvania State University, University Park, Pennsylvania, United States of America.

Plos Computational Biology
|April 3, 2020
PubMed
Summary

Writing algorithmic bioinformatics conference papers requires careful attention to detail to avoid rejection. This article provides ten simple rules to help authors improve their submissions and increase acceptance rates.

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

18.4K
Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
10:41

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

9.6K

Related Experiment Videos

Last Updated: Dec 25, 2025

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
07:09

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

Published on: May 28, 2021

10.3K
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

18.4K
Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
10:41

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

9.6K

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Algorithmic Science

Background:

  • Conferences are key for disseminating algorithmic bioinformatics research.
  • Unlike journals, conference submissions offer limited revision opportunities.
  • Mistakes in submissions can lead to rejection, even if easily correctable.

Discussion:

  • Reviewers often identify correctable errors but cannot request revisions.
  • This lack of iterative feedback is particularly challenging for new authors or those outside the core field.
  • The article proposes "Ten Simple Rules" to address these submission challenges.

Key Insights:

  • Proactive error prevention is crucial for conference paper acceptance.
  • Understanding reviewer expectations can guide manuscript preparation.
  • Clear and concise presentation of algorithmic methods is essential.

Outlook:

  • Adhering to these rules can improve the quality of submitted papers.
  • This approach aims to reduce preventable rejections in algorithmic bioinformatics.
  • Facilitating constructive feedback loops could enhance scientific discourse.