The identification of active genetic alterations is crucial for predicting cancer prognosis and making treatment decisions, especially for patients with treatment-refractory solid tumors. These ...
A group of scientists from the US Food and Drug Administration's (FDA) Division of Bioinformatics and Biostatistics have reviewed the algorithms used to align the data generated by next-generation ...
This eBook explores how integrated acoustic shearing and optimized library prep workflows improve sequencing consistency, ...
Fastq-dupaway: a fast and memory-efficient tool for deduplication of single- and paired-end NGS data
Currently, next-generation sequencing (NGS) methods are widely used in various biological applications 1. The sequencing process involves several key steps: sample preparation, nucleic acid ...
Trastuzumab Deruxtecan Is Active in Desmoplastic Small Round Cell Tumor We reviewed 168 patients with soft tissue LMS who received systemic therapy between 2009 and 2024 for metastatic LMS and also ...
Ongoing verification study supports compatibility of DeepChek® with the AVITI™ platform. Expands opportunities in ...
Machine Learning Model for Predicting Severe Adverse Events in Oncology Patients Using the US Food and Drug Administration Adverse Event Reporting System ClinBioNGS is a modular, fully containerized ...
The US Food and Drug Administration (FDA) on Thursday published a technical specifications document to help sponsors submit next generation nucleotide sequence analysis procedures and data in support ...
Microbiome research often involves complex workflows and laborious manual sample preparation protocols. Labs using manual pipetting approaches frequently suffer from limited throughput and high ...
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