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2024-12-17 02:26:06 -

Sentieon | Application Tutorial: Accelerating Custom Algorithms Using the Sentieon Python API Engine
Background All modules in the Sentieon suite are several times to dozens of times faster than their corresponding open-source software. While using these modules, users sometimes hope that the Sentieon team can help accelerate their custom-developed software. To help these users enjoy the speed of Sentieon modules in their own software, we have developed a Python API system to meet the needs...

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2024-12-06 02:37:45 -

Sentieon | Application Tutorial: Germline Variant Detection Analysis of HiFi Long-Read Data Using DNAscope
Introduction This document describes germline variant calling for PacBio® HiFi data using Sentieon® DNAscope. PacBio® HiFi technology produces high-quality long reads with quality scores above Q20 and average lengths between 10-25kb. These accurate long reads enable precise variant detection in genomic repeat regions that are challenging for short-read and noisy long-read methods....

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2025-01-10 06:16:02 -

Sentieon | Application Tutorial: Recommendations for Read Groups
Introduction This document describes the recommended usage of the RGID field when using Sentieon® Genomics software to minimize potential issues. This document will help you determine the best practices for setting the different fields of the RG tags in the bam files you use. Detailed description of RG fields and their usage Detailed description of RG fields The SAM format...

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2025-01-15 05:49:31 -

Sentieon | Application Tutorial: TNscope® Using Machine Learning Models for Somatic Variant Discovery with Matched Normal Samples;
Using Machine Learning Models in TNscope® Objectives of Machine Learning Models in TNscope® TNscope® allows you to use machine learning models for variant filtering to improve the accuracy of results. The machine learning model approach is described in https://www.biorxiv.org/content/early/2018/01/19/250647, and TNscope® uses a series of sensitive settings to detect more...

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