Data Analysis: is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
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Circulating miRNAs have great potential as biomarkers due to their aberrant expression in cancer and other diseases. However, miRNAs from body fluids are hard to obtain in amounts sufficient...
Next-generation sequencing (NGS) has revolutionized extraction of genomic information, facilitating rapid advances in the fields of clinical research and molecular diagnostics. However, c...
As next-generation sequencing (NGS) platforms advance in their speed, ease-of-use, and cost-effectiveness, many translational researchers are transitioning from microarrays to RNA sequencing...
AUC sedimentation velocity (SV) has a longstanding reputation as being the gold standard for the matrix free quantification of aggregates in biopharmaceuticals. The continuous c(S) ...
 Within the field of bioinformatics, scientists and organizations struggle with multiple problems. Key problems are the large amount of data and that the people who understand biology (or che...
This webinar presents LC-MS workflows for cost-effective research and forensic laboratory operation. The workflows, enabled by simple sample preparation coupled with rapid analysis ...
Late-stage drug attrition rates in oncology remain higher than in other therapeutic areas. To reduce attrition, it is critical to identify appropriate drug targets and pre-clinical models. Th...
Rare disorder analysis has been facilitated by the declining cost of sequencing. Despite numerous success stories the underlying cause remains unexplained in >50% cases, emphasizing the ne...