Searching

Overview

To search for your long non-coding RNA, simply type its name or alias in the top text box titled "ncRNA name". Alternatively you can search for any text in the annotations or by sequence. When you have completed your search, a list of long non-coding RNAs will be shown in the grid below the search functions. Only the first 200 results are shown by default, although this can be changed by changing the "Max Records" parameter in the bottom of the left panel.

The search results grid shows records in pages of 15 entries at a time. You can advance through pages using the page selector at the bottom of the control.

Annotation

lncRNAdb entries for each curated lncRNA will include one or more annotations (refer to following section on viewing results). These can be searched by entering a search term into the Annotation/Sequence search box. When searching annotations basic logic functions are accepted i.e. promoter AND cancer will search for lncRNA with annotations including both search terms.

Sequence

If the search string in the Annotation/Sequence search box is at least 7 characters and consists entirely of GAT(U)C, lncRNAdb will instead search entries for matches to their sequence. All other search criteria are ignored when searching by sequence.

Species

Entering a species in the "Select Species" search box will restrict the search to those species selected. It is important to note that the list of species in which an lncRNA is found may not be comprehensive due to limited information regarding orthologs in some instances. Please note that NRED expression information is only available for human and mouse. The genomic location of some lncRNAs is not available in the literature and so a link to the UCSC Browser is not always possible.

Tags

Each entry in lncRNAdb has a number of tags which mark specific traits of each lncRNA. These include  imprinted, developmentally regulated, disease associated, pathogen induced/derived, bifunctional, functionally tested and unknown function. To search by one of these tags, select it from the "Select Tags" search box in the left hand search panel.


Viewing/Exporting Results

Aliases, Sequence, Annotations and Literature

Once you have the results of your search, you can see the detail of your selected ncRNA by clicking on its name in the results grid. A list of annotations, literature references, species, sequence and aliases for the lncRNA are known to be associated with and associated genetic features will be listed on a new page. Both the literature and annotation entries can contain links to pubmed, clicking on these links opens the relevant abstract in Pubmed.

Species

Where a list of species in which the lncRNA is known has been curated, these species are listed below the literature section. Each entry may also include a direct link to the UCSC Browser http://genome.ucsc.edu/ and the Non-Coding RNA Expression Database NRED http://jsm-research.imb.uq.edu.au/nred/cgi-bin/ncrnadb.pl. Clicking on these links will open the relevant entry in each database.

Associated Components

Any genetic components known or anticipated to be associated with each lncRNA are listed at the bottom of the right hand results panel.

Exporting Results

To export your results in a tab delimited file, click on the Export Results button. Results will be exported for all ncRNAs shown in the search results grids. Use the search functions to define your lncRNA(s) of interest before trying to export. To peruse the entire database, enter an empty search prior to exporting.

Similarly, the Export Sequence option will create a file containing the name, aliases and sequence including sequence notes. The format is a fasta file where the first line of each entry contains the name of the transcript and any notes regarding the sequence such as species specificity and isoform..


Reference

If you find this resource useful please cite lncRNAdb;
Amaral PP, Clark MB, Gascoigne DK, Dinger ME, Mattick JS (2011). lncRNAdb: a reference database for long noncoding RNAs. Nucleic Acids Res 39: D146-151.

This project is from the Mattick Lab


 
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