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I would like to phase whole-genome datasets, some of which are single-end read datasets and some of which are paired-end datasets. Does anyone have experience with this? Should I simply generate a list of SNPs and feed it to existing phasing algorithms? Is there software that can take the raw read data into account (IE SNPs that appear on the same read)?
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The first FDA-approved CRISPR-based therapy marked the transition of therapeutic gene editing from a dream to reality1. CRISPR technologies have streamlined gene editing, and CRISPR screens have become an important approach for identifying genes involved in disease processes2. This technique introduces targeted mutations across numerous genes, enabling large-scale identification of gene functions, interactions, and pathways3. Identifying the full range...08-27-2024, 04:44 AM -
Sequencing mRNA provides a snapshot of cellular activity, allowing researchers to study the dynamics of cellular processes, compare gene expression across different tissue types, and gain insights into the mechanisms of complex diseases. “mRNA’s central role in the dogma of molecular biology makes it a logical and relevant focus for transcriptomic studies,” stated Sebastian Aguilar Pierlé, Ph.D., Application Development Lead at Inorevia. “One of the major hurdles for...08-07-2024, 12:11 PM
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