Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Ribosome Profiling

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...

lncRNA - Long Non-coding RNAs

lncRNA - Long Non-coding RNAs

In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...

lncRNA - Long Non-coding RNAs

lncRNA - Long Non-coding RNAs

RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...

Comparing Copy Number Variations and SNPs

Comparing Copy Number Variations and SNPs

Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...

You might also read

Related Articles

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

Sort by

Same author

Career Adaptability and Academic Achievement Among Chinese High School Students: A Three-Wave Longitudinal Study of Social Cognitive and Metacognitive Mediating Mechanisms.

Journal of Intelligence·2026

Same author

Prevention of aggression in psychiatric patients in five psychiatric hospitals in China: a best practice implementation project.

JBI evidence implementation·2026

Same author

Naringenin ameliorates postmenopausal osteoporosis by inhibiting BMSC oxidative stress via the PI3K/AKT/NRF2 pathway.

Naunyn-Schmiedeberg's archives of pharmacology·2026

Same author

Computational Resources for Molecular Biology 2026.

Journal of molecular biology·2026

Same author

Heterogeneous Demand-Aware Multi-Agent Communication Based on Role Representation.

IEEE transactions on neural networks and learning systems·2026

Same author

Morphology-Engineered Pd-SnO<sub>2</sub> Porous Networks for Enhanced Hydrogen Detection.

ACS sensors·2026

Same journal

Correction to 'New origin firing is inhibited by APC/CCdh1 activation in S-phase after severe replication stress'.

Nucleic acids research·2026

Same journal

VeloRM: disentangling pre- and post-splicing RNA modification dynamics at single-cell resolution.

Nucleic acids research·2026

Same journal

Accessibility of telomeric overhangs to stabilizing small-molecule ligands.

Nucleic acids research·2026

Same journal

Multivalent interactions mediate SNAIL transcription factor stimulation of the nucleosome deacetylase activity of the CoREST complex.

Nucleic acids research·2026

Same journal

Genome-wide mapping of DNA G-quadruplexes in Trypanosoma brucei chromatin reveals enrichment in coding regions and transcription start sites.

Nucleic acids research·2026

Same journal

Correction to 'The Gene Ontology knowledgebase in 2026'.

Nucleic acids research·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 15, 2026

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

Published on: October 21, 2022

COME: a robust coding potential calculation tool for lncRNA identification and characterization based on multiple

Long Hu^1,2, Zhiyu Xu¹, Boqin Hu¹

¹MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology and Center for Plant Biology, Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China.

Nucleic Acids Research

|September 10, 2016

Summary

This summary is machine-generated.

COME is a new tool to find novel long non-coding RNAs (lncRNAs) in genomic data. It accurately identifies and characterizes these important RNA molecules, revealing their potential regulatory roles.

More Related Videos

Identification of Circular RNAs using RNA Sequencing

Identification of Circular RNAs using RNA Sequencing

Published on: November 14, 2019

RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA

RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA

Published on: April 10, 2018

Related Experiment Videos

Last Updated: Mar 15, 2026

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

Published on: October 21, 2022

Identification of Circular RNAs using RNA Sequencing

Identification of Circular RNAs using RNA Sequencing

Published on: November 14, 2019

RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA

RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA

Published on: April 10, 2018

Area of Science:

Genomics
Molecular Biology
Bioinformatics

Background:

Genomic studies reveal numerous novel long non-coding RNAs (lncRNAs) beyond annotated sequences.
Accurate identification and characterization of these lncRNAs are crucial for understanding their functions.

Purpose of the Study:

To develop and validate a computational tool for identifying and characterizing novel lncRNAs.
To enhance the accuracy and robustness of lncRNA prediction using multiple features.

Main Methods:

Development of COME (Coding potential calculation tool) integrating sequence-derived and experiment-based features.
Utilized a decompose-compose method for enhanced prediction accuracy.
Annotation and characterization of predicted lncRNAs with supporting evidence.

Main Results:

COME demonstrates superior accuracy and robustness compared to existing tools.
Improved consistency in prediction results when integrated with other calculators.
Identified conserved local RNA secondary structures in lncRNAs, enriched in lncRNAdb.
Found conserved structural domains on lncRNAs are more likely to interact with RNA binding proteins.

Conclusions:

COME provides an accurate, robust, and feature-supported method for novel lncRNA discovery and characterization.
Conserved structural features of lncRNAs suggest potential regulatory roles through RNA binding protein interactions.