Do you know of these bioinformatics companies making waves in the biopharma industry? 🌊 Bioinformatics is a field of science that integrates computer technology to analyze biological data to boost healthcare research. 🖥️ The bioinformatics industry has a market value of $16.3 billion at present, and is forecasted to reach nearly $24 billion in five years. 📈 Most biotechs rely on bioinformatics in drug discovery to improve their chances of viable candidates making it to the clinic. 🏥 Check out our latest article on five bioinformatics companies making a difference in the biopharma industry in 2024! 👇 https://lnkd.in/deQ7pvJY #bioinformatics #biopharma #healthcareresearch #drugdiscovery #biotechinnovation #BiotechIndustry #healthcaretech #scientificadvances Synthace | Verge Genomics | VeriSIM Life | Recursion | Twist Bioscience | Illumina | QIAGEN | Thermo Fisher Scientific
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Project Manager / Business Development | Event Planning- London Biotechnology Show | Arab Biotechnology Summit - Pioneering the Future of Life Sciences - Join us on the Journey of Discovery!
Bioinformatics is a field of science that integrates computer technology to analyze biological data, particularly DNA and protein sequences, to advance therapies and boost healthcare research. This article looks at five companies at the top of their bioinformatics game in 2024. #biotech #Healthcare #Bioinformatics #Datadiscovery
From data to discovery: Five bioinformatics companies you should know in 2024
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Decoding the future of Industrial Biotech with Bioinformatics! Our latest blog dives into how this data-driven field is revolutionizing everything from drug discovery to sustainable solutions. Ready to unlock the secrets of life with bioinformatics? Click the link to learn more! ➡️ https://bit.ly/3WMRrwv #bioinformatics #industrialbiotech #innovation #science
Decoding Bioinformatics: Revolutionizing Industrial Biotechnology
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Bioinformatics analyses are increasingly important for the #cosmetics industry. Read our short blog to discovery why! 💻🧬💄 #cosmeticsindustry #cosmeticscience #bioinformatics
Advancing Cosmetic Development with Bioinformatics | Fios Genomics
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Bioinformatics Service Market Size, Share & Trends Analysis Report Forecast, 2022-2028 !! Global Bioinformatics Service Market size was valued at USD 2.45 Billion in 2021 and is projected to reach USD 6.41 Billion by 2028, growing at a CAGR of 16.65% from 2021 to 2028 according to a new report by 𝐈𝐌𝐈𝐑 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡. 📚𝐆𝐞𝐭 𝐓𝐡𝐢𝐬 𝐑𝐞𝐩𝐨𝐫𝐭 𝐀𝐭 𝐃𝐢𝐬𝐜𝐨𝐮𝐧𝐭𝐞𝐝 𝐏𝐫𝐢𝐜𝐞:📝👇https://lnkd.in/dA5cbrSg 📚The global bioinformatics service market encompasses a wide range of services and solutions that utilize computational and analytical techniques to analyze biological data. This market is driven by factors such as the increasing volume and complexity of biological data generated from genomics, proteomics, metabolomics, and other omics technologies, as well as the growing demand for personalized medicine, drug discovery, and agricultural biotechnology. Key components and aspects of the global bioinformatics service market include: ▫ Data Analysis and Interpretation ▫ Genomics Services ▫ Proteomics and Metabolomics Services ▫ Drug Discovery and Development Services ▫ Clinical and Healthcare Informatics Services ▫ Agri Bioinformatics Services ▫ Cloud-Based Bioinformatics Solutions The global bioinformatics service market is characterized by technological advancements, collaborations between academia and industry, and the adoption of artificial intelligence (AI) and machine learning (ML) techniques for data analysis. As the demand for bioinformatics services continues to grow across various industries, including healthcare, pharmaceuticals, agriculture, and biotechnology, the market is expected to witness further expansion and innovation in the coming years. #Note: The above outline provides a general structure for the content. You may modify and expand it based on the specific requirements and available information. 📚𝐑𝐞𝐩𝐨𝐫𝐭 𝐅𝐨𝐜𝐮𝐬𝐞𝐝 𝐎𝐧 𝐓𝐨𝐩 𝐂𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬:👇 Agilent Technologies BaseClear BGI Genomics Biomatters2u Biomax CD Genomics Creative Biolabs DNAnexus Eurofins Scientific Finland Oy Fios Genomics Gene Codes Corporation Genedata GENEWIZ from Azenta Life Sciences Genomics plc SnapGene Illumina Intrexon Corporation MacroGenics, Inc. MEDGENOME Microsynth AG NeoGenomics Laboratories PerkinElmer Psomagen QIAGEN ROSALIND Seven Bridges Source BioScience Strand Life Sciences Waters Corporation AgriGenome Labs Pvt Ltd ArrayGen Technologies Private Limited Bencos Research Solutions Pvt. Ltd. #BioinformaticsService #AgilentTechnologies #BaseClear #BGIGenomic #Biomatters2u #Biomax #CDGenomics #CreativeBiolabs #DNAnexus #EurofinsScientific #FiosGenomics #GeneCodesCorporation #Genedata #AzentaLifeSciences #Genomics #SnapGene #Illumina #IntrexonCorporation #MacroGenics #MEDGENOME #MicrosynthAG #NeoGenomicsLaboratories #PerkinElmer #Psomagen #QIAGEN #ROSALIN #SevenBridges #SourceBioScience #StrandLifeSciences #WatersCorporation #AgriGenomeLabsPvtLtd
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Drug discovery is nowadays more interesting and easy as compared to what it was years back because of Bioinformatics especially "Molecular Docking" techniques. It involves the computational prediction of how a drug molecule will bind to its target protein or receptor. Here's a small overview 👇 #biotechnology #bioinformatics #drugdiscovery #interactions #molecules #biotech
Assistant Professor Biotechnology ll M.Tech II Founder at BIOTECH WORLD INDIA ll A learner always ll Building Biocommunity
Drug discovery is nowadays more interesting and easy as compared to what it was years back because of Bioinformatics especially "Molecular Docking" techniques. It involves the computational prediction of how a drug molecule will bind to its target protein or receptor. Here's a small overview on how bioinformatics helps in drug discovery using Molecular docking including the following steps : 👉 Target Selection: Bioinformatics methods assist in identifying and selecting suitable protein targets for drug development. This can be done by analyzing protein structures, functions, and their involvement in disease pathways using data from protein databases and other resources. 👉 Protein Structure Determination: Bioinformatics tools aid in predicting and modeling the 3D structure of protein targets. This can involve techniques like homology modeling, where the unknown structure is modeled based on known structures of related proteins. Accurate protein structure prediction is critical for ensuring the success of docking studies. 👉 Ligand and Target Preparation: Prior to docking, both the protein target and the drug molecule (ligand) need to be prepared. Bioinformatics tools help in optimizing the structures and conformations of ligands and proteins, removing any unwanted components, and ensuring appropriate protonation states. 👉 Virtual Screening: Virtual screening is a computational technique used to search large databases of compounds for potential drug candidates. Bioinformatics tools perform virtual screening by running docking simulations of the ligand against the target protein. This helps identify molecules that have a high probability of binding and potential therapeutic value. 👉 Binding Site Identification: Bioinformatics methods aid in predicting and characterizing the binding site or active site of the protein target. This information is crucial for setting up the docking study and defining the region where the ligand will interact with the target protein. 👉 Docking Algorithm Selection: Bioinformatics helps in choosing the appropriate docking algorithms and software based on the specific research question and available resources. There are various algorithms available that use different approaches to predict the ligand-protein interactions, such as molecular docking, flexible docking, or protein-ligand docking algorithms. 👉 Docking Validation and Analysis: Bioinformatics tools assist in the analysis and validation of docking results. Various scoring functions and algorithms are employed to evaluate the quality of the predicted ligand-protein complexes. These analyses help in selecting the most promising drug candidates for further experimental validation. It enhances the efficiency of drug discovery by guiding the selection and optimization of potential drug molecules for experimental testing. KESHAV SINGH #biotechnology #bioinformatics #drugdiscovery #interactions #molecules #biotech
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𝐓𝐡𝐞 𝐛𝐢𝐨𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐜𝐬 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐢𝐬 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐞𝐝 𝐭𝐨 𝐠𝐫𝐨𝐰 𝐟𝐫𝐨𝐦 𝐔𝐒𝐃 10.1 𝐛𝐢𝐥𝐥𝐢𝐨𝐧 𝐢𝐧 2022 𝐚𝐧𝐝 𝐭𝐨 𝐫𝐞𝐚𝐜𝐡 𝐔𝐒𝐃 18.7 𝐛𝐢𝐥𝐥𝐢𝐨𝐧 𝐛𝐲 2027, 𝐚𝐭 𝐚 𝐂𝐨𝐦𝐩𝐨𝐮𝐧𝐝 𝐀𝐧𝐧𝐮𝐚𝐥 𝐆𝐫𝐨𝐰𝐭𝐡 𝐑𝐚𝐭𝐞 (𝐂𝐀𝐆𝐑) 𝐨𝐟 13.0% 📚 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐏𝐃𝐅 𝐁𝐫𝐨𝐜𝐡𝐮𝐫𝐞: https://lnkd.in/dN62vKZ9 The use of computer technology to comprehend and utilise biological and biomedical data effectively is known as bioinformatics. It is the field responsible for storing, analysing, and interpreting the Big Data gathered during clinical settings or as a result of life science investigations. The growth of the bioinformatics market is driven by the increasing public and private-sector funding for bioinformatics, growing demand for personalized medicine, increasing pharmaceutical and biotechnology R&D expenditure, and decreasing cost of genome sequencing. However, the high cost of equipment is hindering the growth of this market. #NorthAmerica dominated the bioinformatics market in 2021 and is expected to grow at an 12.7% CAGR during the forecast period. The North America holds large share in the global bioinformatics market owing to factors such as government support for genomic research, presence of top key players in the region, reduced cost of sequencing, increased awareness of bioinformatics services, and increased number of genomic research activities (and the corresponding adoption of bioinformatics) in the region are driving the growth of the bioinformatics market in North America. Thermo Fisher Scientific, Eurofins Scientific Finland Oy, QIAGEN, Agilent Technologies, Illumina, Waters Corporation, DNASTAR, NeoGenomics Laboratories, PerkinElmer, GENEWIZ, UK, BGI Group, SOPHiA GENETICS, Source BioScience
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Bioinformatician | Genomics Data Scientist | NGS | Python | R | Computational Biologist
🧬✨ Bioinformatics Workflow of Next-Generation Sequencing (NGS) ✨🧬 #BioinfoTuesdays #NGS NGS technologies, such as #Illumina and #IonTorrent, have unlocked the possibility of deeper #genome exploration by simultaneously analysing millions of genomic regions in multiple samples. However, to derive valuable insights from the raw data output, proper processing and subsequent analysis are required. Do you know the standard steps to process NGS raw data? Let's dive in! 🧬 🔍 Base Calling: The raw signal generated during sequencing is converted to nucleotide sequences by the instrument and stored in a #FastQ file, alongside their corresponding quality scores. ✂️ Quality Control: This step is crucial to ensure #high-quality data. Sequence quality, read length, and base composition, among other factors, are assessed. Adaptors added during library preparation are removed, and if necessary, low-quality sequences are trimmed, generating a trimmed FastQ file. 🎯 Reads Alignment: The filtered reads (nucleotide sequences) are #aligned to a reference genome/transcriptome to identify the likely origin of the observed sequences. This information is recorded in a Sequence Alignment Map (SAM) file, which can be converted into a Binary Alignment Map (BAM) file to save space. 🔍 Variant Calling: By comparing aligned reads to the reference sequence, genetic variations such as single nucleotide polymorphisms (#SNPs) and insertions/deletions (#InDels) can be identified. The Variant Call Format (VCF) is commonly used to store these variant calls. 📝 Annotation: It's time to gather more #information about the identified variants, such as corresponding #genes, functional impact predictions, and allele #frequencies. Annotation data is often stored in tabular formats like Comma-Separated Values (CSV), Microsoft Excel (XLSX), or Tab-Separated Values (TSV), facilitating easy integration with other tools and databases. 📈 Downstream Analysis: Finally, we interpret the variant data, unveiling biological #insights. This includes statistical analyses, pathway enrichment studies, and genotype-phenotype #associations. Results are typically recorded in tabular formats for further interpretation and visualisation. Are you interested in learning more about bioinformatics? Share your thoughts and experiences in the comments below! And don't forget to follow me for more insights into bioinformatics and genomics. 💻🔍 #bioinformatics #genetics #genomics #biology #biotechnology #lifesciences #dna #sequencing #ngs #alignment #sciencecommunication #bioinformatica #genetica #genomica #biologia #biotecnologia
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New tool alert! 🚨 Bioinformatics Copilot 1.0: a large language model-powered software that streamlines the analysis of massive single-cell transcriptomic data through an intuitive natural language interface, accelerating biomedical research while ensuring data privacy compliance. 🚀 Quick Read: https://lnkd.in/eWwSENah #bioinformatics #transcriptomics #singlecell #dataanalysis #bioinformaticscopilot #sciencenews #biotechnology
Unveiling Bioinformatics Copilot 1.0: A Cutting-Edge LLM-Driven Solution for Transcriptomic Data Analysis
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Biobank management | Biosafety | Aptamers | Virology and Microbiology | Entrepreneurial mindset | Training and Development | Internship coordination |
#Job openings at hyderabad See the post/link below for detailed information To #stayinformed on the latest #jobopenings & #openpositions by #connecting with me on LinkedIn! #jobs #openpositions #Biotechjobs #microbiologyjobs #lifesciencejobs #MolecularBiologyJobs #careeroppurtunities #Labopportunities #ResearchJobs #LifeSciCareers #clinicalresearch #opportunities2024 #postdoc #hyderabadjobs
We are #hiring for #scientist positions in our Computational Biology (#compbio) team at Aganitha (in Hyderabad, India) to develop and apply AI & computational models in SMOL, mAb, Gene & RNA therapy design and development. Specifically, we are looking for PhD & Postdoc candidates who can contribute to the following areas: Disease studies to identify new targets, uncover mechanisms of action and stratify patient populations using the power of: • Single cell multi-Omics (scRNA-seq, Proteomics, Spatial Omics, Epigenomics …) • Whole genome sequencing (WGS) and Proteogenomics • High-throughput pre-clinical experimentation datasets De novo design, characterization and optimization of therapeutic candidates in silico using computational omics and chemistry models and AI. E.g.: • Antibody engineering • RNA design and optimization • Viral Vector optimisation for advanced cell and gene therapies Analysis and optimisation of bio-synthesis reactions using the power of AI/ML and computational modelling of underlying cellular processes. If you are interested, you can apply at : https://lnkd.in/g69m-ujr #bio #genomics #omics #compbio #hyderabad #india
Scientist- Bioinformatics, Comp. Biology | Aganitha Careers
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1mogreat insights Labiotech.eu, thanks! with Synthace we're excited to be among the big players!