AnnoLnc

AnnoLnc annotates novel human long noncoding RNAs (lncRNAs) by integrating over 700 diverse data sources and multiple analytical tool chains to generate systematic functional, structural, expression, regulatory, interaction, genetic association, and evolutionary annotations.


Key Features:

  • Extensive Data Integration: Integrates over 700 diverse data sources and multiple analytical tool chains to support comprehensive annotations.
  • Genomic Location: Provides detailed genomic mapping of lncRNA positions.
  • Secondary Structure Prediction: Predicts lncRNA secondary structure to inform structural-functional hypotheses.
  • Expression Patterns: Analyzes tissue-specific and developmental stage-related expression profiles.
  • Transcriptional Regulation: Annotates regulatory elements and transcriptional influences on lncRNAs.
  • miRNA Interaction: Identifies potential interactions between lncRNAs and microRNAs.
  • Protein Interaction: Maps protein partners and interaction networks involving lncRNAs.
  • Genetic Association and Evolution: Examines genetic associations and evolutionary conservation to infer functional relevance.
  • Programmable Integration: Provides standard JSON-based Web Service APIs for integration into bioinformatics pipelines.

Scientific Applications:

  • Rediscovering Known Functions: Collates multi-dimensional annotations to confirm previously reported lncRNA functions.
  • Generating Novel Hypotheses: Enables hypothesis generation about lncRNA roles and mechanisms through integrated structural, expression, regulatory, interaction, and evolutionary data.

Methodology:

Integrates over 700 diverse data sources and applies multiple analytical tool chains to produce systematic annotations for human lncRNAs.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R, Java, Python, JavaScript, Shell
Added:
4/22/2018
Last Updated:
12/10/2018

Operations

Publications

Hou M, Tang X, Tian F, Shi F, Liu F, Gao G. AnnoLnc: a web server for systematically annotating novel human lncRNAs. BMC Genomics. 2016;17(1). doi:10.1186/s12864-016-3287-9. PMID:27852242. PMCID:PMC5112684.

PMID: 27852242
PMCID: PMC5112684
Funding: - China 863 Program: 2015AA020108 - Seeding Grant for Medicine and Life Sciences of Peking University: 2014-MB-13

Documentation