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Mitigation strategy.

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posted on 2021-10-11, 17:42 authored by Matthew Z. DeMaere, Aaron E. Darling

A simple QA directed mitigation strategy, where Hi-C sequencing libraries are assessed for quality (SNR) using a small-scale pilot sequencing run. Very poor quality libraries can be rejected, while accepted libraries go on to deeper sequencing. The total required yield of paired reads can be calibrated by the inferred SNR. Given sufficient starting material, Hi-C library generation can be reattempted when previous libraries are abandoned.

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qc3C: Reference-free quality control for Hi-C sequencing data

PLOS Computational Biology

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wide spatial interactions solve challenging problems lab methods provide despite continued refinements complex laboratory protocol avoid costly failures 3d structural analysis resulting quality indicators diligent quality management large genome assemblies c library remains algorithm builds upon inexact reference skews also provides reference c library quality sample preparation method proximity ligation events div >< p free quality control c qc tool proximity ligation software tool capture genome based qc free approach total fraction throughput sequencing successfully applied successful outcomes specific criteria sequencing data reliance introduces real datasets new algorithm naturally occur modest amount model organisms mags ).key post k </free hi environmental samples enables high easily applied dna molecules current wet crude assay assembled genomes accurate resolution >- mers

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