Annotate table transcript easily

Aug 6th, 2022
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How to annotate table transcript

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Hello, my name is Marina DiStefano and Im a clinical molecular genetics fellow at Harvard, and a postdoc in the ClinGen Resource. This is part one of a three-part training series on transcript annotation and curation. Part 1 will discuss transcript annotation. This is an outline of the entire series. As I said, in this first part I will cover why transcript curation matters, citing examples from the hearing loss clinical domain. I will also provide an overview of transcript annotation bodies and their differences. Please continue on to part 2 for more discussion on transcript curation resources, and part 3 to hear about a specific transcript curation strategy that we deployed in the hearing loss domain. As many bio-curators already know, gene curation is required for variant curation. If a gene is not associated with disease, the effect of a variant on the gene cannot be determined. This is best represented by the graph on the left here, modified from Daniel MacArthur, with variant-l

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Edit notes 1.In the transcript viewer, click the note that you want to edit. The Annotation dialog box appears. Click the Notes tab and locate the specific note or reply that you want to edit. Click Edit. Change the text and formatting, as necessary. Click Save. The edited note appears on the Notes tab. Click Close.
A simple method of gene annotation relies on homology based search tools, like BLAST, to search for homologous genes in specific databases, the resulting information is then used to annotate genes and genomes.
Gene annotation is the plotting of genes onto genome assemblies, and indexing their genomic coordinates. Gene annotation provided by Ensembl includes automatic annotation, ie genome-wide determination of transcripts.
Genome annotation is the process of identifying functional elements along the sequence of a genome, thus giving meaning to it. It is necessary because the sequencing of DNA produces sequences of unknown function.
The Ensembl automatic annotation system classifies genes and transcripts into biotypes including: protein coding, pseudogene, processed pseudogene, miRNA, rRNA, scRNA, snoRNA, snRNA.
It consists of three main steps: identifying portions of the genome that do not code for proteins. identifying elements on the genome, a process called gene prediction, and. attaching biological information to these elements.
While most genes are associated with multiple transcripts, each transcript is only assigned to a single gene (at least in databases). In other words, different genes never share the same transcript.
Simply put, genome annotation involves taking genomic data - DNA or RNA sequences - and mapping the correct genes (or more accurately, functional elements) to the correct locations. It gives the genome meaning.

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