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To address these challenges, we introduce a data-driven tree-based framework that incorporates uncertainty into RNA-seq data analysis. In the first part of the talk, I will discuss existing approaches for handling uncertainty and their limitations in RNA-seq data analysis before introducing TreeTerminus.
This second ELRIG meeting on Therapeutic Oligonucleotides brings together esteemed scientists from academia, industry, and other members of the drug discovery community to explore the discovery, validation, and targeting of oligonucleotide-based drug candidates, including antisense oligonucleotides (ASOs) and small interfering RNA (siRNA).
This includes verifying the experimental design and understanding how the data was generated whether it was from RNA sequencing, mass spectrometry, or other biological assays. Without this information, the interpretation of the dataset may be speculative or lead to inaccurate conclusions.
With a background in biochemistry and bioinformatics, Lucy was interested in exploring how bioinformatics was applied to real-world healthcare data. I just graduated with a degree in Bioinformatics, and I was interested to see how the skills I learned could be applied.
It has become a fundamental tool for researchers to explore the complexities of genetic information and conduct genetic-informed drug development. Improvements in bioinformatics, robotics, liquid handling, and nucleic acid preparation will continue to transform NGS sequencing methods. Satam et al.
By identifying proteins that only interact with each other in cancer, but not normal tissues, we can really expand the repertoire of ADC therapeutics beyond monoclonal antibodies developed based solely on RNA expression profiles. His work has been published in many high-impact journals and presented at international oncology meetings.
2 DNA sequencing is also reliant on sample processing and DNA library preparation before sequencing as well as bioinformatics and data analysis after sequencing. In contrast, long-read sequencing analyzes longer strands of DNA or RNA in one go without breaking the long strands into smaller fragments.
To guide the discussion, it is helpful to arrive at the meeting with the following information: What is the overall goal of the project? What other data have you collected from these samples (especially RNA-seq/scRNA-seq) Share any images you have of your samples H&E, immunofluorescence, ISH. What is the model system?
When doctors sequenced the DNA and RNA found in Alice’s blood and synovial fluid—the liquid that surrounds and lubricates joints—they found abnormally low levels of genes encoding iron-storing proteins and high levels of epidermal growth factor receptor RNA. At least nine laboratories outside the U.S.
As soon as the initial RNA genome sequence of the pathogen that would be named SARS-CoV-2 was published, CDC and other organizations began developing diagnostic tests. ” This information can inform design of vaccines, therapeutics, and public health measures, which can help prevent epidemics from flaring up.
Differentially expressed genes (DEGs) involved in luteolin and quercetin action that regulate adipogenic differentiation were identified using RNA sequencing (RNA-seq). Bioinformatic analyses were performed to identify potential target genes and pathways regulated by luteolin/quercetin during adipogenesis.
But now, a new paper shows how to sequence up to six plasmids in a single sample, while retaining accurate information, using Bayesian statistics. BMC Bioinformatics. Read An RNA-based system to study hepatitis B virus replication and evaluate antivirals. Comparison of transformations for single-cell RNA-seq data.
5 But it could match up to one of the threats in your reference database, so you opt to throw a battery of bioinformatics tools at it. BLAST is covered in every introductory bioinformatics course and the 1990 paper introducing has over 110,000 citations. Bioinformatic results from SecureDNA. Bioinformatic results from HMMScan.
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