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  1. About In-Silico PCR. In-Silico PCR searches a sequence database with a pair of PCR primers, using an indexing strategy for fast performance. See an example video on our YouTube channel. This tool is not guaranteed to find off-target locations for primers, it is optimized for 100% identical matches.

  2. genome.ucsc.edu › cgi-bin › hgPcrUCSC In-Silico PCR

    About In-Silico PCR. In-Silico PCR searches a sequence database with a pair of PCR primers, using an indexing strategy for fast performance. See an example video on our YouTube channel. This tool is not guaranteed to find off-target locations for primers, it is optimized for 100% identical matches.

  3. About In-Silico PCR. In-Silico PCR searches a sequence database with a pair of PCR primers, using an indexing strategy for fast performance. See an example video on our YouTube channel. This tool is not guaranteed to find off-target locations for primers, it is optimized for 100% identical matches.

  4. In-Silico PCR searches a sequence database with a pair of PCR primers, using an indexing strategy for fast performance. Configuration Options. Genome and Assembly - The sequence database to search. Target - If available, choose to query transcribed sequences. Forward Primer - Must be at least 15 bases in length.

  5. 8 de feb. de 2018 · UCSC Genome Browser. 3.37K subscribers. Subscribed. 177. 27K views 6 years ago Genome Browser Videos. This tutorial describes the isPCR tool and demonstrates how to use it for predicting the...

  6. In-Silico PCR - Rapidly align PCR primer pairs to the genome. Table Browser - Download and filter data from the Genome Browser. LiftOver - Convert genome coordinates between assemblies. REST API - Returns data requested in JSON format.

  7. In this tutorial , we will explore the UCSC Genome Browser’s In-Silico PCR tool. This tool allows you to predict the sequence and size of products that would result from a polymerase chain reaction experiment using primers you may wish to use. You can see that there’s a link to the tool directly on the main page, at genome.ucsc.edu.