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Next-generation sequencing (NGS) platforms have evolved to provide an accurate and comprehensive means for the detection of molecular mutations in heterogeneous tumor specimens.
Increasingly, NGS is being used to interrogate mutations in heterogeneous clinical samples.
Recently, mutations in heterogeneous nuclear ribonucleoproteins hnRNPA2/B1 and hnRNPA1 were identified in ALS patients (24).
Consequently, we require statistically accurate algorithms that are able to call germline and somatic point mutations in heterogeneous samples with low purity.
Technologies that can detect pre-existing resistance mutations in heterogeneous tumours before treatment initiation may allow individualised drug therapy approaches avoiding the rapid selection of existing resistant clones.
In addition to mutations in VCP [ 7, 8], mutations in Heterogeneous Nuclear Ribonucleoprotein A2B1 (HNRNPand1) and Heterogeneous Nuclear Ribonucleoprotein A1 (HNRNPA1) [ 21] have been identified in families with IBMPFD.
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This prescreening allowed us to detect mutations in a heterogeneous tumor sample with as low as 1% mutated cells [ 41], and aberrant migrating band on the TTGE gel can be sequenced directly to define the sequence alteration.
Since the discovery of LMNA mutations in highly heterogeneous human disorders (including cardiac and muscular dystrophies, lipodystrophies and progeria), the number of functions described for lamin A/C has expanded.
Resequencing microarrays provide a rapid and cost effective method for screening mutations in genetically heterogeneous diseases such as CMSs.
Detection of under-represented mutations in often heterogeneous cancer biopsies can be a technical challenge for direct sequencing, but not for cloned ESTs.
The emergence of secondary gene mutations in a heterogeneous tumour population follows the Darwinian law.
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