How do you find out how many tRNA are in a sequence? How do you name a RNA?

http://en.wikipedia.org/wiki/Transfer_RNA

http://en.wikipedia.org/wiki/Translation_%28genetics%29

To find out how many tRNA (transfer RNA) are in a sequence, you can utilize various computational tools and methods. Here's a step-by-step process to guide you:

1. Obtain the RNA sequence of interest. You can either have the sequence given to you or retrieve it from a database or research article.

2. Use a reliable bioinformatics tool to predict and identify tRNA genes in the sequence. One commonly used tool is tRNAscan-SE, which is available as a stand-alone software or as a web server. It uses statistical models and covariance models to detect tRNA genes accurately.

3. Submit your RNA sequence to the tRNAscan-SE web server or download the software and execute it on your local machine.

4. The output will provide detailed information about the predicted tRNA genes, including their start and end positions, anticodon sequences, and other relevant characteristics.

5. Count the number of tRNA genes identified in the output. Each predicted tRNA gene corresponds to one tRNA molecule.

Regarding how RNA is named, different types of RNA follow specific naming conventions based on their functions and features.

For example, tRNA is named using a combination of the amino acid it carries and the letter "t". The specific amino acid is often abbreviated with one or three letters, such as "A" for alanine or "Leu" for leucine. The one-letter abbreviation is placed before the "t", as in "At" for alanine tRNA or "Lett" for leucine tRNA.

Additionally, other types of RNA have their own naming conventions. For instance, messenger RNA (mRNA) is named by the gene it is transcribed from, followed by the word "messenger RNA". Ribosomal RNA (rRNA) is named according to the subunit it belongs to, such as "16S rRNA" or "28S rRNA" for the respective subunits within the ribosome.

It's important to note that these naming conventions may vary slightly depending on the specific organism or database being used.