Ellie Cockburn’s Post

Next Generation Sequencing (NGS) has revolutionized research and medicine by offering high-throughput, detailed insights into genetic material. In the rapidly evolving field of genomics, staying updated with the latest technologies and methodologies is crucial for groundbreaking discoveries and advancements. Contact us at info@biosyntiya.com or +91-9582327689 for expert assistance in cost-effective, high-accuracy genomic data analysis. Follow BIOSYNTIYA SOLUTION's - https://shorturl.at/rLiBH #NGS #computationalbiology #learning #WES #GWAS #DNA #RNA #biotechnology #ATAC #biotechnology #molecularbiology #WomeninSTEM

Integrated DNA Technologies & Molecular Health Form NGS Data Analysis Partnership! Integrated DNA Technologies has signed an agreement to integrate certain of its sequencing technologies with genetic and molecular data analysis software from German bioinformatics firm Molecular Health, the companies said today. Under the terms of the deal, the partners will join IDT's Archer next-generation sequencing research-use assay platform, which it acquired from Invitae in late 2022, with Molecular Health's variant annotation and reporting software. The combined offering will enable tertiary analysis of NGS data, streamlining workflows for cancer research, the companies said. Financial and other terms were not disclosed. "Cancer and other diseases can be caused by inherited or acquired genetic conditions," Molecular Health CEO Friedrich von Bohlen said in a statement. "Understanding the consequences of mutations requires precise data generation and analysis. The combination of IDT's and Molecular Health’s NGS products and expertise enables high-quality, end-to-end integration plus a deep understanding of sequencing data." Earlier this year, IDT partnered with Volta Labs, Inc. Labs to create platform-agnostic solutions for walk-away sample prep. Coralville, Iowa-based IDT began working with Complete Genomics to make their products compatible in October. Don't forget to hit that like and follow button to stay updated on all the latest genomics and proteomics news! #integrateddnatechnologies #molecularhealth #ngsdataanalysis #partnership #geneticresearch #bioinformatics #sequencingtechnologies #variantannotation #cancerresearch #datageneration #ngsproducts #researchuseassay #walkawaysampleprep #platformagnostic #completegenomics #bioinformaticsfirms #deepsequencing #precisionmedicine #biotechindustry #genomicanalysis

Crafting a post for LinkedIn about single-cell RNA sequencing (scRNA-seq) analysis preprocessing requires a balance of professionalism and conciseness. Here's a suggested post: 🔬 Exploring the Depths of Single-Cell RNA Sequencing: Preprocessing Unveiled 🔬 Embarking on the journey of single-cell RNA sequencing (scRNA-seq) analysis? 🧬 Dive into the crucial realm of preprocessing to unveil the hidden gems within the vast sea of single-cell data. ⚙️ Key Steps in Preprocessing: 1️⃣ Quality Control: Ensure robust data quality by identifying and filtering out low-quality cells and genes. Quality is the cornerstone of reliable results. 2️⃣ Normalization: Unravel the biological signal by normalizing gene expression levels. This step harmonizes the data, paving the way for accurate downstream analysis. 3️⃣ Batch Effect Removal: Tackle batch effects head-on to distinguish biological variations from technical artifacts. A critical step for data harmonization across experiments. 4️⃣ Dimensionality Reduction: Navigate the complexity of single-cell data by reducing dimensions. Techniques like PCA and t-SNE bring clarity to the intricate landscape of cellular heterogeneity. 🚀 Why Preprocessing Matters: Enhanced Biological Interpretation: Clean data leads to more accurate biological insights, empowering researchers to uncover nuanced cellular behaviors. Improved Downstream Analyses: Robust preprocessing lays the foundation for downstream analyses, such as clustering and differential expression, ensuring reliable and reproducible results. For more info check with my github https://lnkd.in/gJxmjpZr #DataAnalysis #Bioinformatics #computationalBiology #genomics #r

Capture Panel Design: Understanding Hard-to-Capture Regions The genome, which contains the genetic information of an organism, comprises various combinations of A, T, G, C nucleotides. Depending on these sequences’ characteristics, experiments and analyses might face challenges, impacting the accuracy of sequencing and analysis. Therefore, it is crucial to consider the characteristics and aspects of these so-called ‘hard-to-capture’ regions when designing a target capture panel. 1. Inclusion of repetitive sequences   Repetitive sequences, involving the repetition of one or more nucleotide sequences multiple times, can range from a few nucleotides to thousands. Excessive repetition or the length of these regions can induce errors during PCR amplification or sequencing processes, and it can also lead to reduced alignment accuracy in NGS data analysis. 2. Presence of duplicated sequences   Duplicated sequences denote areas where different regions in the genome have identical or highly similar nucleotide sequences. Capturing targets within these regions can diminish probe efficiency due to potential binding of probes to multiple duplicate locations. Moreover, indistinguishable large duplicated sequence regions can lead to alignment failures in NGS data analysis. 3. Extremely high or low GC ratios   The GC ratio signifies the proportion of G and C nucleotides within a specific sequence. In DNA pairing, A and T exhibit relatively weaker bonding compared to G and C. Higher GC ratios intensify the stability of DNA strand, raising the likelihood of non-disassociation between strands or nonspecific binding of probes to unintended sites. Additionally, high-GC regions might form secondary structures that can interfere with capture or sequencing. Conversely, extremely low GC ratios weaken probe-target DNA binding, potentially leading to probe detachment.  Typically, these sequence features are more prevalent in introns or intergenic regions compared to exonic regions. Hence, panels encompassing more intronic or intergenic regions might exhibit lower efficiency compared to those that do not. Celemics conducts various researches and validation studies to enhance panel performance in these regions. https://lnkd.in/g9whMdmG

Capture Panel Design: Understanding Hard-to-Capture Regions The genome, which contains the genetic information of an organism, comprises various combinations of A, T, G, C nucleotides. Depending on these sequences’ characteristics, experiments and analyses might face challenges, impacting the accuracy of sequencing and analysis. Therefore, it is crucial to consider the characteristics and aspects of these so-called ‘hard-to-capture’ regions when designing a target capture panel. 1. Inclusion of repetitive sequences Repetitive sequences, involving the repetition of one or more nucleotide sequences multiple times, can range from a few nucleotides to thousands. Excessive repetition or the length of these regions can induce errors during PCR amplification or sequencing processes, and it can also lead to reduced alignment accuracy in NGS data analysis. 2. Presence of duplicated sequences Duplicated sequences denote areas where different regions in the genome have identical or highly similar nucleotide sequences. Capturing targets within these regions can diminish probe efficiency due to potential binding of probes to multiple duplicate locations. Moreover, indistinguishable large duplicated sequence regions can lead to alignment failures in NGS data analysis. 3. Extremely high or low GC ratios The GC ratio signifies the proportion of G and C nucleotides within a specific sequence. In DNA pairing, A and T exhibit relatively weaker bonding compared to G and C. Higher GC ratios intensify the stability of DNA strand, raising the likelihood of non-disassociation between strands or nonspecific binding of probes to unintended sites. Additionally, high-GC regions might form secondary structures that can interfere with capture or sequencing. Conversely, extremely low GC ratios weaken probe-target DNA binding, potentially leading to probe detachment. Typically, these sequence features are more prevalent in introns or intergenic regions compared to exonic regions. Hence, panels encompassing more intronic or intergenic regions might exhibit lower efficiency compared to those that do not. Celemics conducts various researches and validation studies to enhance panel performance in these regions.

🔬 Unlocking Genomic Insights: Ensuring Extraction Prowess for NGS in Human Samples 🔬 In the dynamic realm of Next-Generation Sequencing (NGS), the foundation for groundbreaking discoveries lies in the meticulous extraction of high-quality DNA and RNA from human samples. Here's a brief guide on achieving extraction prowess for NGS applications: DNA Extraction: 1️⃣ Sample Collection: Ensure proper collection and preservation of biological samples for optimal DNA integrity. 2️⃣ Method Selection: Choose extraction methods (silica-based, column purification, etc.) tailored to sample types and NGS goals. 3️⃣ Cell Lysis: Employ efficient cell lysis using appropriate buffers and enzymes for optimal genomic DNA release. 4️⃣ Purification & Washing: Purify DNA to remove contaminants and conduct thorough washing steps for pristine quality. 5️⃣ Quantification: Quantify DNA concentration spectrophotometrically and assess purity for downstream compatibility. 6️⃣ Quality Control Checks: Perform gel electrophoresis to verify DNA fragment size distribution and integrity. RNA Extraction: 1️⃣ Sample Preservation: Collect and preserve RNA-containing samples to prevent RNA degradation. 2️⃣ Isolation Methods: Choose RNA extraction methods suited to sample types, including TRIzol-based or magnetic bead-based methods. 3️⃣ DNase Treatment: Include DNase treatment to eliminate genomic DNA contamination. 4️⃣ Quantification & Purity: Quantify RNA concentration and assess purity with the A260/A280 ratio. 5️⃣ Integrity Analysis: Evaluate RNA integrity using capillary electrophoresis or gel electrophoresis. 6️⃣ Quality Control Checks: Confirm the absence of DNA contamination and assess RNA suitability for downstream applications. General Considerations: 1️⃣ Automation: Consider automated platforms for high-throughput applications to enhance consistency. 2️⃣ Standardization: Standardize protocols for reproducibility and reliability. 3️⃣ Documentation: Thoroughly document the extraction process for traceability and troubleshooting. 4️⃣ Validation: Validate extraction methods considering input requirements and compatibility with NGS protocols. Remember, the success of NGS experiments hinges on the reliability of genetic material. Let's continue to push the boundaries of genomic research! 🔍🧬 #NGS #Genomics #ResearchExcellence #ScienceCommunity #sequencing #dna #rna #genetics

🧬 Exciting News! Axiom Human Genotyping Arrays and Allelica Polygenic Risk Score Software are now integrated! 🧬 https://buff.ly/4cbQrGm We are thrilled to announce the collaboration of Thermo Fisher Scientific's Axiom Human Genotyping Arrays with Allelica, Inc's Polygenic Risk Score (PRS) software and reporting system. Axiom genotyping technology, combined with Allelica's PRS software, empowers researchers and healthcare professionals to accurately analyze and interpret genetic data. 🔬🔍 This collaboration allows for precise assessment of genetic predispositions for diseases based on multiple markers. It opens doors to personalized prevention strategies, screening programs, and treatment plans tailored to individual genetic profiles. "By integrating Allelica's software with our microarray platform, we can help solve a pain point for researchers so they can focus on translating genetic insights into impactful actions." Learn more about this exciting integration and its impact on genetic analysis in this press release. #GeneticResearch #PrecisionMedicine #PersonalizedGenetics

https://lnkd.in/gqd9ABqB In this study, a cloud-based bioinformatics pipeline for PGx testing was developed to cover the entire workflow including NGS data analysis, variant allele assignment, genotype interpretation, and clinical decision support. #aws #genomics

Unlocking Genetic Mysteries: Introducing Genome Services Maastricht UMC+ Dive into our cutting-edge services and explore the world of multi-omics. Let’s decode together! Why Choose Genome Services Maastricht UMC+? 1. First-Class Services: Because first-class research demands first-class services. Our team of experts is committed to excellence. 2. Wide Range of High-End Laboratory Services: - Genomics: From DNA sequencing to variant analysis, we’ve got you covered. - Transcriptomics: Dive into gene expression with accredited techniques. - Metabolomics: Uncover metabolic pathways using cutting-edge tools. - Functional Genomics: Explore gene function like never before. - Bioinformatics: Data processing, analysis, and management. 3. Customized Solutions: Your research is unique, and so are our services. We tailor our expertise to your specific needs. 4. Multidisciplinary Approach: Our laboratory specialists, technicians, clinicians, and bio-science engineers collaborate seamlessly. 5. State-of-the-Art Equipment: Accurate results powered by the latest technology. 6. Competitive Rates: Quality doesn’t have to break the bank. Unlock the potential of your research with Genome Services Maastricht UMC+. Contact us to discuss your research needs. We value your opinion and appreciate your feedback, even if it’s critical. Let’s piece together this scientific puzzle!