Serna Bio’s Post

extensive evaluation of genome annotation tools. leveraging rna-seq data is a key step towards high structural genome annotation

This is a bioinformatics tutorial for Bacterial whole genome analysis and visualization.

Nice and succinct article on the history and tech of genetic design.

Interested in Comparative Genomics? Our course with Fritz Sedlazeck & Ingo Ebersberger is back! Join us to explore software, analysis workflows, and the evolutionary impact of genetic variants in eukaryotic genomes. There are 4 seats left! https://lnkd.in/deXgSRv #Bioinformatics #Genomics #Evolution

Exciting News! We are thrilled to announce the launch of our new bioinformatics pipeline, transforming the way we deliver genomic data. 🔬 We have transitioned to using Stacks in our existing Amazon Web Services (AWS) cloud infrastructure enabling high speed analysis and rapid delivery of data across the world.  Stacks is a state-of-the-art informatics program designed to streamline and enhance the analysis processes for short-read genomic data. Built on the expertise and over years of experience by Julian Catchen first at the University of Oregon and then at the University of Illinois Urbana-Champaign, Stacks offers a wide range of functionalities to meet the diverse needs of researchers in the field of bioinformatics. 📊 With #stacks on #aws, our team is equipped to provide both basic and advanced data analysis services. Leveraging the power of Stacks and AWS, we can help you uncover valuable insights from your genomic data, whether you're exploring genetic maps, population genomics, or phylogenetics in any species with or without a reference genome. We understand that every project is unique, and our bioinformaticians are passionate about tailoring data analysis solutions to match your specific requirements. Whether you need assistance with basic quality control, PCR duplicates, variant calling, or more complex genomic analysis, we are here to help. Let us help you unlock the full potential of your genomic data and empower your research endeavors, contact us at https://lnkd.in/g6Qchuvg #genomics #dna #dnasequencing #research

#DNA Facts about DNA DNA is the building blocks for life. 1.DNA stands for deoxyribonucleic acid. DNA is a long thin molecule made up of nucleotides. There are 4 different types of nucleotides - these are adenine, thymine, cytosine, and guanine, and each is represented by their first letter - A, T, C, G. Nucleotides are sometimes called bases. Although there are only 4 letters, DNA molecules are thousands of letters long, allowing for billions of different combinations. 2.DNA is like a recipe that holds the instructions for telling our bodies how to develop and function. DNA code is held by the nucleotide letters and the different letters represent different Every 3 nucleotide letters form a codon. An example of a string of codons is ATC TGA GGA AAT GAC CAG ATG GCA. These are strung together to make a 3.DNA sequence called a gene. Within each DNA string are sets of instructions called genes. A gene tells a cell how to make a specific protein. Proteins are used by the cell to perform a certain function and give the cell a specific job. 4.DNA is in the shape of a double helix and looks like a twisted ladder. The rungs of the ladder are the A, T, C, G nucleotide bases that are locked together in pairs by hydrogen bonds, but only certain sets of nucleotides can fit together - A only connects to T and G only connects with C. The nucleotides are held together by a backbone made of phosphate and deoxyribose. The human genome contains 3 billion base pairs of DNA. In 2001, scientists made a map of all the genes that make a person - this complete DNA sequence is known as the human genome. About 99.9% of 5.DNA of every person on the planet is the same - it’s the 0.1% that makes us unique. You have 96% of your DNA in common with a chimpanzee, 90% with a cat, 85% with a mouse, 80% with a cow, 60% with a chicken, and 60% with a banana. 6.DNA was first isolated and identified by Swiss biologist Freidrich Meischer in 1869. The double helix structure of DNA was discovered by James Watson and Francis Crick in 1953. If you unravelled all DNA molecules in your body and placed them end to end it would stretch over 110 billion miles and be able to stretch to the Sun and back over 600 times.

In the world of genetic wizardry, cephalopods have set an unparalleled benchmark. Their mastery over RNA editing is reshaping our understanding of molecular biology. Join Cthulhu, as he explores these tentacled titans of the deep. 🦑🔬 #ScienceWithCthulhu https://lnkd.in/dAQga58V

Ever wanted to crack the code of our genetic blueprint? This 3-day online workshop on 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐆𝐞𝐧𝐨𝐦𝐢𝐜 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐌𝐞𝐭𝐡𝐨𝐝𝐬 𝐚𝐧𝐝 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 is your passport to the exciting world of genomic data analysis. Gain the foundational knowledge and practical skills to navigate the complexities of genomics research. 𝑾𝒉𝒂𝒕 𝒚𝒐𝒖'𝒍𝒍 𝒍𝒆𝒂𝒓𝒏: 𝐒𝐞𝐬𝐬𝐢𝐨𝐧 𝟏: 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐆𝐞𝐧𝐨𝐦𝐢𝐜𝐬 𝐚𝐧𝐝 𝐒𝐍𝐏 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 - Overview of genomics and its applications. - Introduction to Single Nucleotide Polymorphisms (SNPs). - Importance of SNP analysis in genomic studies. - Methods for SNP detection and genotyping. - Practical examples and case studies. 𝑫𝒂𝒕𝒂𝒃𝒂𝒔𝒆𝒔: dbSNP 𝐒𝐞𝐬𝐬𝐢𝐨𝐧 𝟐: 𝐂𝐍𝐕 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬, 𝐆𝐖𝐀𝐒, 𝐚𝐧𝐝 𝐕𝐚𝐫𝐢𝐚𝐧𝐭 𝐂𝐚𝐥𝐥𝐢𝐧𝐠 - Understanding Copy Number Variations (CNVs) and their significance. - Techniques for CNV detection and analysis. - Introduction to Genome-Wide Association Studies (GWAS). - Introduction to Variant calling methods (e.g., SAMtools, GATK), variant filtering & annotation - Case studies highlight the application of these methods in research. 𝑫𝒂𝒕𝒂𝒃𝒂𝒔𝒆𝒔: GWAS CATALOG, Variant Annotation using VEP, ClinVAR & COSMIC 𝑷𝒓𝒂𝒄𝒕𝒊𝒄𝒂𝒍 𝑯𝒂𝒏𝒅𝒔-𝒐𝒏: Variant Calling on T-Bioinfo Server 𝐒𝐞𝐬𝐬𝐢𝐨𝐧 𝟑: 𝐏𝐡𝐲𝐥𝐨𝐠𝐞𝐧𝐞𝐭𝐢𝐜 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐢𝐧 𝐆𝐞𝐧𝐨𝐦𝐢𝐜𝐬 - Introduction to phylogenetics and its role in genomics. - Methods for building phylogenetic trees (e.g., distance-based methods, maximum likelihood, Bayesian inference). - Application of phylogenetic analysis in evolutionary genomics, epidemiology, and beyond. - Software tools for phylogenetic analysis (e.g., RAxML, PhyML, BEAST) 𝑫𝒂𝒕𝒂𝒃𝒂𝒔𝒆𝒔: BLAST, NCBI Virus, Phylome 𝑷𝒓𝒂𝒄𝒕𝒊𝒄𝒂𝒍 𝑯𝒂𝒏𝒅𝒔-𝒐𝒏: Phylogenetic analysis on T-Bioinfo Server and Phylogenetic tree construction on Ugene & Figtree 🔗 For more information, register here: https://lnkd.in/gZsmNTwb 📅 Date: July 24 - July 29, 2024 🕒 Time: 7:00 PM IST | 8:30 AM CST 📍 Location: Online #Bioinformatics #Genomics #DNA #SNPAnalysis #GenomicStudies #CNVAnalysis #GWAS #VariantCalling #ClinVAR #COSMIC #PhylogeneticAnalysis #EvolutionaryGenomics #Epidemiology #BLAST #NCBIVirus #Phylome #Ugene #Figtree

Ultima Genomics launching high-end DNA sequencers that can read genome for $100 Excited to be working with Ultima Genomics on the commercial roll-out of the UG100 later this year! "The sequencer, dubbed the UG 100, is a $1.5 million machine that can read up to 20,000 human genomes a year. The reagents required to operate the instrument cost as little as $1 per billion sequenced DNA bases; that translates to $100 per genome" https://lnkd.in/eGfMKff6 #FOGBoston2024 #humangenome #nextgenerationsequencing

The era of the $100 genome and beyond is here! Learn more about the the UG 100™ platform and how our early access customers have harnessed the power of genomics at scale.