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How to assemble transcript

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all right um so a little were continuing with you know how we can analyze rna secretes so generally there are kind of two pathways we can choose to go down and its kind of dependent on if theres a reference or not so if there is a reference for example we know all the cvss that exist in a species right theres a reference on ensemble theres a reference on ncbi um well i mean what we would do is just clean our reads up and then map them back to the reference and start counting well eventually do that but if we dont have a reference which is probably is still a little bit more common in comparative genomics than what we have to do as a symbol assemble those reads and so its a little bit the idea is is reasonably simple and its basically to just find overlapping reads that share sequence similarity and more or less build a context from that right just a contiguous sequence of reads that overlap with one another and produce what would be a transcript um and so the whole point is

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Which technique is used for transcriptome analysis?

Transcriptomics technologies are the techniques used to study an organisms transcriptome, the sum of all of its RNA transcripts. The information content of an organism is recorded in the DNA of its genome and expressed through transcription.

What is meant by transcript assembly?

Transcriptome assembly is a process of reconstructing the complete set of full-length transcripts from RNA-seq data, which often include tens of millions of short-read sequences.

How do you assess transcriptome assembly?

Transcriptome Assembly Quality Assessment Examine the RNA-Seq read representation of the assembly. Examine the representation of full-length reconstructed protein-coding genes, by searching the assembled transcripts against a database of known protein sequences.

What are the two main approaches to assembling RNA-Seq reads into a transcriptome and ?

By assembling the short reads, we can reconstruct full-length transcripts and identify novel genes and gene isoforms. There are two main approaches to transcriptome assembly: de novo and reference-guided.

What are the two main approaches to assembling RNA-seq reads into a transcriptome and ?

By assembling the short reads, we can reconstruct full-length transcripts and identify novel genes and gene isoforms. There are two main approaches to transcriptome assembly: de novo and reference-guided.

Which sequencing platform is the best for RNA-Seq?

The next generation sequencing platforms most frequently used for RNA-seq are the Illumina HiSeq (4000 [12], 2500 [13, 14] ), Ion Torrent, and SOLiD systems. Whilst the library preparation and nucleotide detection protocols for each platform vary, all consist of the following main steps: Preparation of total RNA.

What is a transcripts in sequencing?

Transcription is the first step in gene expression. It involves copying a genes DNA sequence to make an RNA molecule. Transcription is performed by enzymes called RNA polymerases, which link nucleotides to form an RNA strand (using a DNA strand as a template).

What software is used for transcriptome assembly?

TRINITY is a software package for conducting de novo (as well as the genome-guided version of) transcriptome assembly from RNA-seq data. The Trinity package also includes a number of perl scripts for generating statistics to assess assembly quality, and for wrapping external tools for conducting downstream analyses.

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