Arima Genomics’ Post

it's Me 😜 Have a quick read of ommy latest blog post about Multiomics processing on the Form Bio platform.

🚀 Unlocking Multiomics Data Analysis: Advancing Life Science Research! Explore cutting-edge solutions with Google and Form Bio, revolutionizing genetic research with an easy-to-use bioinformatics platform built for bench scientists in mind. Dive deeper into multiomics data analysis and discover innovative solutions that empower researchers to accelerate R&D. Learn more: https://hubs.li/Q02qQsrz0 #Bioinformatics #Genetics

🔍 Navigating the Complexity of Genomic Data with GenomAnalysis 🧬 In the world of bioinformatics, harnessing the power of genomic data requires advanced tools and expertise. At GenomAnalysis, we specialize in unraveling the complexities of genetic information, using specialized bioinformatics techniques to drive insightful analysis. Our team of experts is dedicated to extracting valuable insights from intricate datasets, paving the way for groundbreaking discoveries in healthcare. Join us on the frontier of genomic exploration and unlock the potential of your genetic data with GenomAnalysis. #GenomAnalysis #Bioinformatics #GenomicData #HealthcareInnovation

Excited to be at #EuroBioc2024! 🎉 If you're attending, swing by the poster section to meet our amazing team. We'd love to chat about bioinformatics innovations, share insights, and explore collaborations with you! 👋 Bioconductor #bioinformatics #omicsdata #rnaseq #proteomics

Data provenance for your bioinformatics applications and research objectives.

Decoy contigs ("chromosomes" ) are optional parts of reference genomes that can improve read alignment accuracy by incorporating sequences from repetitive elements, common contaminants, and viral genomes like Epstein-Barr virus (EBV). Decoys help capture reads that would otherwise remain unmapped or be mapped to incorrect regions. By including decoy chromosomes in the reference genome, linear genome aligners such as BWA-MEM and Bowtie2 can minimize off-target alignment and improve read mapping for more accurate variant calling. However, decoy chromosomes are not always needed. For instance, the standard reference genome assembly is typically sufficient in targeted panel assays that focus on specific, well-characterized regions. How often do you use reference genomes with decoys in your bioinformatics pipelines? P.S.: as usual, I shared some useful links in the comments. #bioinformatics #NGS

🚀 Excited to be diving into Accessing Bioinformatics Databases with Biopython! In this course, I learnt how to leverage Biopython for various bioinformatics applications, including: 🔬 Sequence Alignment: Using NCBI-BLAST to align and compare biological sequences. 📊 Data Fetching: Accessing PUBMED, Nucleotide sequences, PDB structures, and EXPASY data using the powerful ENTREZ module. 🧬 KEGG Pathways & Genes: Exploring KEGG pathways and gene information for deeper insights into biological processes. It’s a great opportunity to enhance my skills in bioinformatics! 💻🔍 #Bioinformatics #Biopython #NCBIBLAST #KEGG #PDB #PubMed #Expasy #BioTech

'Structure and function' - this interplay gives insight into why some genetic variants are harmful. We will explore this and how EBI tools can assist in analysis of genetic variants.

Introducing Wet Lab Wednesday! Have NGS data to analyze but don't code? No problem! If you are in the lab you can accelerate time to scientific insight by doing some of the routine work yourself, then collaborate with bioinformatics on an informed question. This week, check out how in under 1 minute you can use Basepair and AWS for Healthcare & Life Sciences to go from raw data to: 1. Calling variants using an industry standard pipeline from our partner Sentieon 2. Variant annotation using the clinvar, dbSNP and GnomAD databases 3. Interactively filter the list down to the ones of interest 4. See how the reads map to the genome reference using the embedded IGV browser to load specific variants at locations of interest Try for free now: https://lnkd.in/gMficwdj #Bioinformatic #ngs #AWS #Genomics #sequencing #AWShealthomics #molecularbiology #clinvar #dbSNP #GnomAD #Variantcalling #IGVbrowser #sentieon