The Scientist’s Post

Geneticists and genomicists have made great strides, overcoming many obstacles to advance their fields. Many of these obstacles center around experimental challenges, whether technical complexities, improving precision, or ensuring reproducibility. High-quality reagents such as ultrapure water are essential to the reliability and integrity of research outcomes. Ultrapure water, in particular, is used extensively across a variety of methodologies, including sample, media, and RNA preparation. Click the link below to explore the role of ultrapure water in genetic and genomic research, and how its use can help researchers sidestep potential obstacles in this new article from ELGA LabWater. #AD https://ow.ly/gi0T50Sc67T

Read this article from ELGA LabWater to explore the role of ultrapure water in genetic and genomic research, and how its use can help researchers sidestep potential obstacles. #AD https://ow.ly/TpK550Shreh

What is Omics Data? Omics data refers to data generated from high-throughput technologies used to study the various "omes" of an organism, such as the genome (all the genetic material), transcriptome (all the RNA molecules), proteome (all the proteins), metabolome (all the small molecules), and interactome (all the interactions between biomolecules). Omics data is often used in systems biology and functional genomics to study the relationships between different molecules and how they interact to affect the overall function of cells, tissues, and organisms. Omics data can be complex, high-dimensional, and noisy and require specialized computational methods and tools for analysis and interpretation.

Click the link below to explore the role of ultrapure water in genetic and genomic research, and how its use can help researchers sidestep potential obstacles in this new article from ELGA LabWater. #AD https://ow.ly/e7BW50Shraa

DNA editing/CRISPR Technology: positive news on CRISPR CAS 9 Technology with the Seed/ Harvest method which further improves the precision of this approach. How? The Basel University is adding a new layer called Single Strand Annealing repair pathway enabling genome WIDE changes without leaving unintended defects or collateral damages. By cutting the DNA even more precisely it’s then possible to preserve all its functions allowing a better understanding of each protein end goals! Great for the development of new studies and trials to solve unmet heath challenges https://lnkd.in/dDycuxBS

As the integration of third-generation sequencing techniques (such as ours "𝘎𝘦𝘯𝘦𝘺𝘹 𝘈𝘯𝘢𝘭𝘺𝘴𝘪𝘴") gains traction within clinical genomics, we can anticipate the emergence of an ever-growing number of information repositories and databases, purpose-built to streamline the identification and analysis of DNA methylation profiles. Eli Sward, PhD from Geneyx wrote an interesting article titled: Epigenetics: Impact, Resources, and Technology in DNA Methylation Analysis. Take a look 👇🏽 https://lnkd.in/dddU9mak #Epigenetics #sequencing #methylation #dnatesting #dna

Check out our latest preprint! 👨🔬🔬👩🔬 Genome-wide conditional degron libraries for functional genomics how does the position of a tag affects a given protein of interest? ✔ we determined that N-terminal tagging is at least twice more likely to inadvertently impair protein function across the proteome & how can we overcome the limitations of the yeast knockout library? ✔ we constructed genome-wide libraries of conditional alleles based on the auxin-inducible degron (AID) system for conditional degradation Thank you to all of the authors of this work 💙 Institute of Molecular Biology (IMB) Johannes Gutenberg University Mainz ⬇️⬇️⬇️ https://lnkd.in/ex9u7_k4 #research #yeast #mainz #highthroughput #protocol #methods #functionalgenomics #science #degron #biorxiv #preprint #genomewide

Excited to announce that our collaborative research has been published in Nucleic Acids Research! Proud to be a co-author alongside such a talented team. This achievement reflects our hard work, dedication, and passion for advancing Biochemistry, Genetics and Molecular Biology. Grateful for this milestone and looking forward to more contributions to the field. #Published #Research #Collaboration #Achievement"

Excited to announce our latest publication in Genes journal! 🌟 Our paper, "Knotify_V2.0: Deciphering RNA Secondary Structures with H-Type Pseudoknots and Hairpin Loops," introduces an advanced framework for predicting RNA structures, significantly enhancing accuracy and efficiency. This work highlights the potential of syntactic pattern recognition in understanding complex RNA formations. Read more about our findings and methodologies here: [MDPI Genes](https://lnkd.in/dJGRbnYi) #RNA #Bioinformatics #Research #Science

What is Omics Data? Omics data refers to data generated from high-throughput technologies used to study the various "omes" of an organism, such as the genome (all the genetic material), transcriptome (all the RNA molecules), proteome (all the proteins), metabolome (all the small molecules), and interactome (all the interactions between biomolecules). Omics data is often used in systems biology and functional genomics to study the relationships between different molecules and how they interact to affect the overall function of cells, tissues, and organisms. Omics data can be complex, high-dimensional, and noisy and require specialized computational methods and tools for analysis and interpretation.