Publications by authors named "H Dauchel"

The rapid transition from traditional sequencing methods to Next-Generation Sequencing (NGS) has allowed for a faster and more accurate detection of somatic variants (Single-Nucleotide Variant (SNV) and Copy Number Variation (CNV)) in tumor cells. NGS technologies require a succession of steps during which false variants can be silently added at low frequencies. Filtering these artifacts can be a rather difficult task especially when the experiments are designed to look for very low frequency variants.

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Article Synopsis
  • Copy number variations (CNV) are crucial genetic alterations linked to cancer, affecting oncogenes and tumor suppressors; new sequencing techniques using unique molecular identifiers (UMI) enhance CNV detection.
  • The study introduces a novel method called molecular Copy Number Alteration (mCNA), which employs UMI and a four-step algorithm to accurately identify copy number changes in cancer samples.
  • mCNA has shown strong correlation with existing genomic methods and is made publicly available, promising improved accuracy in detecting CNV changes in cancer research.
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  • Identifying which nucleotide variants lead to diseases or affect traits is difficult in human genetics, especially for variants that alter RNA splicing.
  • This study evaluates four user-friendly algorithms (QUEPASA, HEXplorer, SPANR, HAL) for predicting splicing regulatory elements, analyzing over 1,300 exonic variants linked to 89 genes.
  • QUEPASA and HAL showed the highest predictive accuracy, suggesting these algorithms can help sift through vast genetic data to find potential disease-causing variants, making them useful in genomic medicine.
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Motivation: Next-generation sequencing has become the go-to standard method for the detection of single-nucleotide variants in tumor cells. The use of such technologies requires a PCR amplification step and a sequencing step, steps in which artifacts are introduced at very low frequencies. These artifacts are often confused with true low-frequency variants that can be found in tumor cells and cell-free DNA.

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Phaeodactylum tricornutum is the most studied diatom encountered principally in coastal unstable environments. It has been hypothesized that the great adaptability of P. tricornutum is probably due to its pleomorphism.

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