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2017-11-14
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2021-09-10
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2021-01-19
Size Equation Transcript Feature
The Size Equation Transcript feature streamlines your data analysis. It converts your conversations into clear, readable transcripts. This tool is designed to help you capture every detail without missing a beat.
Key Features
Automatic transcription of audio and video content
Easy export options for sharing and reporting
Real-time captioning for better engagement
User-friendly interface for seamless navigation
Integration with popular platforms for enhanced functionality
Potential Use Cases and Benefits
Improve note-taking during meetings and interviews
Ensure accurate documentation for compliance and record-keeping
Enhance accessibility for team members with hearing difficulties
Facilitate content creation using transcripts for blogs and articles
Boost training sessions by providing transcripts for future reference
With the Size Equation Transcript feature, you address the challenge of capturing every conversation detail effectively. Say goodbye to note-taking stress and miscommunication. This feature not only saves you time but also increases your productivity by providing clear, organized transcripts whenever you need them.
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Below is a list of the most common customer questions. If you can’t find an answer to your question, please don’t hesitate to reach out to us.
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How is RPM calculated?
Here's how you do it for RPM: Count up the total reads in a sample and divide that number by 1,000,000 this is our per million scaling factors. Divide the read counts by the per million scaling factors. This normalizes for sequencing depth, giving you reads per million (RPM)
What is RPM?
RPM stands for Reads Per Kilobase of transcript per Million mapped reads. FFKM stands for Fragments Per Kilobase of transcript per Million mapped reads. In RNA-Seq, the relative expression of a transcript is proportional to the number of CDA fragments that originate from it.
How do you calculate RPM?
Count up the total reads in a sample and divide that number by 1,000,000 this is our per million scaling factors.
Divide the read counts by the per million scaling factors. ...
Divide the RPM values by the length of the gene, in kilobases.
How do you calculate FFKM?
FFKM are calculated from the number of reads that mapped to each particular gene sequence taking into account the gene length (one expects more reads to be produced from longer genes) and the sequencing depth (one expects more reads to be produced from the sample that has been sequenced to a greater depth).
What is TPM in gene expression?
Transcripts Per A Million (TPM) is a normalization method for RNA-seq, should be read as “for every 1,000,000 RNA molecules in the RNA-seq sample, x came from this gene/transcript.”
What is CPM in RNA seq?
CPM. The simplest RNA-seq feature expression unit reports normalized counts, or the number of reads that align to a particular feature after correcting for sequencing depth and transcriptome composition bias. ... This unit is known as counts per million reads mapped (CPM).
Why do genes have multiple transcripts?
Alternative splicing is a process observed in gene expression that results in a multi-exon gene to produce multiple mRNA variants which might have different functions and activities. ... All these results indicate that genes with a greater number of transcript variants play biologically more fundamental roles.
What is transcript sequence?
Transcript sequence (ENST...) An Ensemble transcript is a single splice variant that can be coding or noncoding. A coding transcript comprises Untranslated Region (UTC) at the 5' and 3' ends, and the Coding sequence (CDS).
Which is longer a gene's transcript or its coding sequence Why?
The only problem to be kept in mind is that the transcript is usually longer than the coding part of the gene because it begins several tens of nucleotides upstream of the initiation codon and continues several tens or hundreds of nucleotides downstream of the termination codon (see Figure 1.17).
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