A bioinformatics platform that is a joint project of several South of France laboratories with available services based on their expertise, issued from their research activities which involve phylogenetics, population genetics, molecular evolution, genome dynamics, comparative and functional genomics, and transcriptome analysis. Most of the software and databases on ATGC are (co)authored by researchers from South of France teams. Some are widely used and highly cited. South of France laboratories: * CRBM (transcriptomes and stem cells). * IBC (computational biology). * MiVEGEC (evolution and phylogeny). * LGDP (plant genomics). * LIRMM (computer science). * South Green (plant genomics).
https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy
The Report Covers Global Bioinformatics Services Market Growth & Insights. The Market is Segmented by Products and Services (Knowledge Management Tools, Bioinformatics Platform, and Bioinformatics Services), Applications (Microbial Genome, Gene Engineering, Drug Development, Personalized Medicine, Omics, and Other Applications), and Geography (North America, Europe, Asia-Pacific, Middle East and Africa, and South America). The value is provided in (USD million) for the above segments.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Recent advances in whole genome sequencing have made the technology available for routine use in microbiological laboratories. However, a major obstacle for using this technology is the availability of simple and automatic bioinformatics tools. Based on previously published and already available web-based tools we developed a single pipeline for batch uploading of whole genome sequencing data from multiple bacterial isolates. The pipeline will automatically identify the bacterial species and, if applicable, assemble the genome, identify the multilocus sequence type, plasmids, virulence genes and antimicrobial resistance genes. A short printable report for each sample will be provided and an Excel spreadsheet containing all the metadata and a summary of the results for all submitted samples can be downloaded. The pipeline was benchmarked using datasets previously used to test the individual services. The reported results enable a rapid overview of the major results, and comparing that to the previously found results showed that the platform is reliable and able to correctly predict the species and find most of the expected genes automatically. In conclusion, a combined bioinformatics platform was developed and made publicly available, providing easy-to-use automated analysis of bacterial whole genome sequencing data. The platform may be of immediate relevance as a guide for investigators using whole genome sequencing for clinical diagnostics and surveillance. The platform is freely available at: https://cge.cbs.dtu.dk/services/CGEpipeline-1.1 and it is the intention that it will continue to be expanded with new features as these become available.
https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy
According to Cognitive Market Research, the Global Bioinformatics Services Market Size will be USD XX Billion in 2023 and is set to achieve a market size of USD XX Billion by the end of 2031 growing at a CAGR of XX% from 2024 to 2031.
• The global Bioinformatics services Market will expand significantly by XX% CAGR between 2024 and 2031.
• Based on technology, Because of the growing number of platform applications and the need for improved tools for drug development, the bioinformatics platforms segment dominated the market.
• In terms of service type, The sequencing services segment held the largest share and is anticipated to grow over the coming years
• Based on application, The genomic segment dominated the bioinformatics market
• Based on End-user, academic institutes and research centers segment hold the largest share.
• Based on speciality segment, The medical bioinformatics segment holds the large share and is anticipated to expand at a substantial CAGR during the forecast period.
• The North America region accounted for the highest market share in the Global Bioinformatics Services Market. CURRENT SCENARIO OF THE BIOINFORMATICS SERVICES
Driving Factors of the Bioinformatics Services Market
Expansive uses of bioinformatics across multiple sectors is propelling the market's growth.
Several industries, such as the food, bioremediation, agriculture, forensics, and consumer industries, are also using bioinformatics services to improve the quality of their products and supply chain processes. Companies in a variety of sectors are rapidly utilizing bioinformatics services such as data integration, manipulation, lead generation, data management, in silico analysis, and advanced knowledge discovery.
• Bioinformatics Approaches in Food Sciences
In order to meet the needs of food production, food processing, enhancing the quality and nutritional content of food sources, and many other areas, bioinformatics plays a significant role in forecasting and evaluating the intended and undesired impacts of microorganisms on food, genomes, and proteomics research. Furthermore, bioinformatics techniques can be applied to produce crops with high yields and resistance to disease, among other desirable qualities. Additionally, there are numerous databases with information about food, including its components, nutritional value, chemistry, and biology.
Genome Canada is proud to partner with five Institutes where there are five funding pools within this opportunity and Genome Canada is partnering on the Bioinformatics, Computational Biology and Health Data Sciences pool. (Source:https://genomecanada.ca/genome-canada-partners-with-cihr-to-launch-health-research-training-platform-2024-25/)
• Bioinformatics in agriculture
Bioinformatics is becoming more and more crucial in the gathering, storing, and processing of genomic data in the field of agricultural genomics, or agri-genomics. Generally referred to as agri-informatics, some of the various applications of bioinformatics tools and methods in agriculture focus on improving plant resistance against biotic and abiotic stressors as well as enhancing the nutritional quality in depleted soils. Beyond these uses, computer software-assisted gene discovery has enabled researchers to create focused strategies for seed quality enhancement, incorporate extra micronutrients into plants for improved human health, and create plants with phytoremediation potential.
India/UK-based Agri-Genomics startup, Piatrika Biosystems has raised $1.2 Million in a seed round led by Ankur Capital. The company is bringing sustainable seeds and agri chemicals to market faster and cheaper. The investment will be used to build a strong Product Development team, also for more profound research, and to accelerate the productionising and commercialization of MVP. (Source:https://pressroom.icrisat.org/agri-genomics-startup-piatrika-biosystems-raises-12-million-in-seed-funding-led-by-ankur-capital)
This expansion in the application areas of bioinformatics services is likely to drive the overall market growth. Bioinformatics services such as data integration, manipulation, lead discovery, data management, in silico analysis, and advanced knowledge discovery are increasingly being adopted by companies across various industries.&...
https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy
The Bioinformatics Cloud Platform market is experiencing robust growth, driven by the increasing volume of biological data generated from genomics research, personalized medicine initiatives, and drug discovery programs. The need for scalable, cost-effective, and secure data storage and analysis solutions is fueling the adoption of cloud-based platforms. This market is segmented by service type (SaaS, PaaS, IaaS) and application (academic & research, pharmaceutical, others). While precise market size figures are not provided, based on industry reports and observed growth in related sectors like cloud computing and genomics, we can estimate the 2025 market size to be approximately $5 billion, with a Compound Annual Growth Rate (CAGR) of 20% projected from 2025 to 2033. This strong CAGR reflects the continuous advancements in sequencing technologies, the expansion of big data analytics in life sciences, and the growing adoption of cloud computing across various organizations. The pharmaceutical sector is a major contributor to this growth, driven by the need for faster and more efficient drug development pipelines that leverage powerful computational capabilities. Academic and research institutions also play a crucial role in market expansion through their active engagement in genomic research and data sharing initiatives. The market's growth is further propelled by several key trends, including the increasing accessibility of cloud-based bioinformatics tools, the development of advanced analytics techniques like AI and machine learning for data interpretation, and the rising emphasis on data security and compliance within the life sciences industry. However, challenges such as data privacy concerns, the complexity of integrating diverse data sources, and the need for specialized expertise to effectively utilize these platforms represent potential restraints. Nevertheless, the long-term outlook for the Bioinformatics Cloud Platform market remains exceptionally positive, driven by the continuous rise in genomic data and the increasing reliance on cloud-based solutions for efficient data management and analysis within the life sciences domain. Major players like Amazon Web Services, Google Cloud, Microsoft Azure, and specialized bioinformatics companies are actively competing and innovating within this rapidly expanding space.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Species prediction by KmerFinder.
https://www.marketresearchintellect.com/privacy-policyhttps://www.marketresearchintellect.com/privacy-policy
The size and share of the market is categorized based on Application (Genomics, Proteomics, Transcriptomics, Metabolomics) and Product (Sequence Analysis, Structural Analysis, Functional Analysis) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).
https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy
The Bioinformatics Cloud Platform market is experiencing robust growth, driven by the increasing volume of biological data generated through next-generation sequencing and other high-throughput technologies. Researchers and pharmaceutical companies are increasingly relying on cloud-based solutions for data storage, analysis, and collaboration due to their scalability, cost-effectiveness, and enhanced computational power. The market, estimated at $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 20% from 2025 to 2033, reaching approximately $10 billion by 2033. This growth is fueled by several key trends including the rising adoption of cloud computing in life sciences, the development of sophisticated bioinformatics tools and algorithms accessible via cloud platforms, and the increasing need for collaborative research initiatives. The Software as a Service (SaaS) segment currently holds the largest market share, reflecting the preference for readily available and user-friendly applications. Key players such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform are actively expanding their bioinformatics offerings, driving competition and innovation within the market. The pharmaceutical and academic & research segments are major contributors to market demand, benefiting from the enhanced speed and efficiency offered by cloud-based solutions for drug discovery and genomic research. However, market growth is not without its challenges. Data security and privacy concerns remain significant restraints, particularly when dealing with sensitive patient information. High upfront investment costs for cloud infrastructure and the need for specialized expertise to effectively utilize these platforms can also impede wider adoption. Furthermore, integration challenges with legacy on-premise systems can pose a barrier to migration to cloud-based bioinformatics solutions. To overcome these hurdles, providers are focusing on enhanced security measures, user-friendly interfaces, and cost-effective pricing models to encourage broader market penetration. The future success of the Bioinformatics Cloud Platform market depends on addressing these challenges while continuing to innovate and improve the functionality and accessibility of these crucial tools for life science research and development.
Over the past year, biology educators and staff at the Department of Energy Systems Biology Knowledgebase (KBase) initiated a collaborative effort to develop a curriculum for bioinformatics education. KBase is a free and easily accessible data science platform that integrates many bioinformatics resources into a graphical user interface built upon reproducible analysis notebooks. KBase held conversations with college and high school instructors to understand how KBase could potentially support their educational goals. These conversations morphed into a working group of biological and data science instructors that adapted the KBase platform to their curriculum needs, specifically around concepts in Genomics, Metagenomics, Pangenomics, and Phylogenetics. The KBase Educators Working Group developed modular, adaptable, and customizable instructional units. Each instructional module contains teaching resources, publicly available data, analysis tools, and markdown capability to tailor instructions and learning goals for each class. The online user interface enables students to conduct hands-on data science research and analyses without requiring programming skills or their own computational resources (these are provided by KBase). Alongside these resources, KBase continues to work with instructors, supporting the development of additional curriculum modules. For anyone new to the platform, KBase, and the growing KBase Educators Organization, provides a community network, accompanied by community-sourced guidelines, instructional templates, and peer support to use KBase within a classroom whether virtual or in-person.
Bioinformatics Market Size 2024-2028
The bioinformatics market size is forecast to increase by USD 13.2 billion at a CAGR of 16.59% between 2023 and 2028. The market is experiencing significant growth due to the reduction in the cost of genetic sequencing and the development of sophisticated bioinformatics tools for next-generation sequencing (NGS). These advancements are enabling the identification and analysis of disease biomarkers, leading to the discovery of new therapeutic strategies. The market is also driven by the increasing demand for database development and management systems to store and analyze the vast amounts of data generated from NGS. Furthermore, the potential of gene therapy and drug development in treating various diseases is fueling the market growth. However, the shortage of trained laboratory professionals poses a challenge to the market, as the analysis of complex genomic data requires specialized expertise.
What will be the Size of the Bioinformatics Market During the Forecast Period?
To learn more about the bioinformatics market report, Request Free Sample
Bioinformatics is a rapidly growing market, driven by advancements in genome sequencing and NGS technologies. Precision medicine, which utilizes genomic information for personalized healthcare, is a key application area. The market is witnessing a significant decrease in equipment costs, making genomics instruments more accessible to researchers and healthcare providers. Transcriptomics, which focuses on the study of RNA, is another emerging field. Virus research is a significant application area, with a focus on transmission chains, public health control, and containment measures. Virus variability and vaccine development are major challenges, driving the need for advanced diagnostic methods. Key players in the market include Illumina and Eurofins Scientific.
Moreover, companies are making strides in addressing this challenge by providing comprehensive solutions for bioinformatics analysis and data management. Big data is another key trend in the market, with the use of advanced algorithms and machine learning techniques to extract valuable insights from genomic data. Overall, the market is poised for strong growth, driven by technological advancements, increasing demand for personalized medicine, and the potential to revolutionize disease diagnosis and treatment. In addition, these companies provide a range of services, from DNA and RNA sequencing to bioinformatics analysis and diagnostic testing. The market is expected to grow significantly due to the increasing demand for accurate and timely diagnostic methods and the ongoing research in the field of genomics and transcriptomics.
The bioinformatics market is expanding rapidly, driven by advancements in genomics data analysis, next-gen sequencing, and precision medicine. Cloud-based bioinformatics solutions and AI in bioinformatics are revolutionizing molecular diagnostics, drug discovery platforms, and protein analysis tools. The market emphasizes genomic data storage, personalized healthcare, and biomarker discovery. With bioinformatics software, computational biology, and integrative bioinformatics solutions, bioinformatics as a service plays a pivotal role in advancing modern healthcare.
Bioinformatics Market Segmentation
The bioinformatics market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.
Application
Molecular phylogenetics
Transcriptomic
Proteomics
Metabolomics
Product
Platforms
Tools
Services
Geography
North America
Canada
US
Europe
Germany
UK
France
Asia
Rest of World (ROW)
By Application Insights
The molecular phylogenetics segment is estimated to witness significant growth during the forecast period. Bioinformatics, a critical field in molecular biology, encompasses the application of computational tools and techniques to analyze biological data. One significant area within bioinformatics is molecular phylogenetics, which utilizes molecular data to explore evolutionary relationships among various species. This technique has transformed the biological landscape by offering more precise and comprehensive insights into the interconnections among living organisms. In the international market, molecular phylogenetics is a vital instrument in numerous research domains, such as clinical diagnostics, drug discovery, RNA-based therapeutics, and conservation biology. For instance, in the realm of viral research, molecular phylogenetics is extensively employed to examine the evolution of viruses.
In addition, by deciphering the molecular data of distinct strains of viruses, scientists can trace the origins and dissemination patterns of these pathoge
https://www.marketresearchintellect.com/privacy-policyhttps://www.marketresearchintellect.com/privacy-policy
The size and share of the market is categorized based on Application (Drug Development, Molecular Genomics, Personalized Medicine, Gene Therapy, Protein Function Analysis, Others) and Product (Sequence Analysis Platforms, Sequence Alignment Platforms, Sequence Manipulation Platforms, Structural & Functional Analysis Platforms, Others) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Paired Omics Data Platform is a community-based initiative standardizing links between genomic and metabolomics data in a computer readable format to further the field of natural products discovery. The goals are to link molecules to their producers, find large scale genome-metabolome associations, use genomic data to assist in structural elucidation of molecules, and provide a centralized database for paired datasets. This dataset contains the projects in http://pairedomicsdata.bioinformatics.nl/.
The JSON documents adhere to the http://pairedomicsdata.bioinformatics.nl/schema.json JSON schema.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Resistance gene prediction by the ResFinder.
https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/
Global Bioinformatics Market Size By Technology (Knowledge Management Tools, Bioinformatics Platforms), By Application (Metabolomics, Molecular Phylogenetics), By Geographic Scope And Forecast
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 1, 2023. Data sharing platform based on the ISA software suite - including an annotation tool and a database - that holds environmental omic data in standards-compliant format. It uses various approaches to provide new discovery, interoperability and integration opportunities for environmental scientists, including the development of tools, databases, standard and ontologies. The main tool for collecting environmental omics data from researchers is the EnvBase data catalogue. The NEBC Toolbox contains a range of tools developed by NEBC to support environmental researchers. The data include next generation sequencing, microarray and ABI sequencing technologies. ISAconfigurator and ISAcreator ensure that the extensive information relating to environmental sampling is consistently collected by the NERC experimentalists, according to the appropriate MIBBI checklist(s), and then reported centrally to NEBC. A local instance of the BII runs as an internal prototype database that will soon provide public and private access to NERC research projects outputs, as appropriate. In accordance with the NERC Data Policy, and when data sets are declared ready for public release, the NEBC team will use the ISAconverter to perform (combined) submissions to the appropriate public repositories (ENA, or SRA, ArrayExpress and PRIDE) to ensure long term stewardship.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
There is an urgent need to elicit and validate highly efficacious targets for combinatorial intervention from large scale ongoing molecular characterization efforts of tumors. We established an in silico bioinformatic platform in concert with a high throughput screening platform evaluating 37 novel targeted agents in 669 extensively characterized cancer cell lines reflecting the genomic and tissue-type diversity of human cancers, to systematically identify combinatorial biomarkers of response and co-actionable targets in cancer. Genomic biomarkers discovered in a 141 cell line training set were validated in an independent 359 cell line test set. We identified co-occurring and mutually exclusive genomic events that represent potential drivers and combinatorial targets in cancer. We demonstrate multiple cooperating genomic events that predict sensitivity to drug intervention independent of tumor lineage. The coupling of scalable in silico and biologic high throughput cancer cell line platforms for the identification of co-events in cancer delivers rational combinatorial targets for synthetic lethal approaches with a high potential to pre-empt the emergence of resistance.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
IntroductionThe clinical incidence of antimicrobial-resistant fungal infections has dramatically increased in recent years. Certain fungal pathogens colonize various body cavities, leading to life-threatening bloodstream infections. However, the identification and characterization of fungal isolates in laboratories remain a significant diagnostic challenge in medicine and public health. Whole-genome sequencing provides an unbiased and uniform identification pipeline for fungal pathogens but most bioinformatic analysis pipelines focus on prokaryotic species. To this end, TheiaEuk_Illumina_PE_PHB (TheiaEuk) was designed to focus on genomic analysis specialized to fungal pathogens.MethodsTheiaEuk was designed using containerized components and written in the workflow description language (WDL) to facilitate deployment on the cloud-based open bioinformatics platform Terra. This species-agnostic workflow enables the analysis of fungal genomes without requiring coding, thereby reducing the entry barrier for laboratory scientists. To demonstrate the usefulness of this pipeline, an ongoing outbreak of C. auris in southern Nevada was investigated. We performed whole-genome sequence analysis of 752 new C. auris isolates from this outbreak. Furthermore, TheiaEuk was utilized to observe the accumulation of mutations in the FKS1 gene over the course of the outbreak, highlighting the utility of TheiaEuk as a monitor of emerging public health threats when combined with whole-genome sequencing surveillance of fungal pathogens.ResultsA primary result of this work is a curated fungal database containing 5,667 unique genomes representing 245 species. TheiaEuk also incorporates taxon-specific submodules for specific species, including clade-typing for Candida auris (C. auris). In addition, for several fungal species, it performs dynamic reference genome selection and variant calling, reporting mutations found in genes currently associated with antifungal resistance (FKS1, ERG11, FUR1). Using genome assemblies from the ATCC Mycology collection, the taxonomic identification module used by TheiaEuk correctly assigned genomes to the species level in 126/135 (93.3%) instances and to the genus level in 131/135 (97%) of instances, and provided zero false calls. Application of TheiaEuk to actual specimens obtained in the course of work at a local public health laboratory resulted in 13/15 (86.7%) correct calls at the species level, with 2/15 called at the genus level. It made zero incorrect calls. TheiaEuk accurately assessed clade type of Candida auris in 297/302 (98.3%) of instances.DiscussionTheiaEuk demonstrated effectiveness in identifying fungal species from whole genome sequence. It further showed accuracy in both clade-typing of C. auris and in the identification of mutations known to associate with drug resistance in that organism.
https://www.zionmarketresearch.com/privacy-policyhttps://www.zionmarketresearch.com/privacy-policy
The Global Bioinformatics Market Size Was Worth USD 10.91 Billion in 2023 and Is Expected To Reach USD 26.81 Billion by 2032, CAGR of 10.50%.
https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy
The size of the Next Generation Sequencing Software Market was valued at USD 10.47 Million in 2023 and is projected to reach USD 25.30 Million by 2032, with an expected CAGR of 13.43% during the forecast period. The NGS Software market is a new and emerging part of the overall genomics industry. NGS software constitute one category of computational tools developed to aid in the analysis and interpretation of large datasets generated by NGS technologies. NGS technologies like Illumina, Roche and Ion Torrent sequence millions or even billions of DNA or RNA bases in one run-which leads to unprecedented insights into genetic variation and gene expression. A good NGS software is often a crucial tool in most scientific and clinical applications. In research, it enables scientists to study the genetic basis of diseases; determine new drug targets; and understand the evolutionary processes. For example, NGS software may be used in sequencing the cancer patients' genomes so that proper treatments may be identified for the patients. In the case of clinical diagnostics, NGS software can be applied to identify genetic diseases, discover pathogens, and track the progression of a given disease. For instance, NGS can be applied to screen for rare genetic disorders in newborns or to identify mutations of hereditary diseases. Agriculture biotechnology applies NGS software toward the production of advanced crop varieties that could be characterized by increased yields, resistance to certain diseases, as well as high nutritional value. Scientists can indeed determine whether certain genes would be responsible for such desirable traits by sequencing different plant species and then introducing them into breeding programs. Recent developments include: May 2022: NanoString Technologies, Inc. announced a seamless, cloud-based workflow that improves customers' spatial data analysis experience using Illumina NextSeq 1000 and NextSeq 2000 sequencing systems and the GeoMx Digital Spatial Profiler., March 2022: ARUP launched a new bioinformatics platform for better, faster next-generation sequencing test results.. Key drivers for this market are: Increasing Clinical Applications of NGS, Technological Advancements in NGS Informatics Tools; Growing Preference toward Personalized Medicines and Early Disease Diagnosis; Increasing Demand for NGS Services and Rising Investment by Key Players. Potential restraints include: Lack of Skilled Technicians for NGS Informatics Services, Challenges Associated with Data Storage and Integration. Notable trends are: Genetic Screening Segment, by Application, is Expected to Experience the Fastest Growth in the Market.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Platform comparison—error rates.
A bioinformatics platform that is a joint project of several South of France laboratories with available services based on their expertise, issued from their research activities which involve phylogenetics, population genetics, molecular evolution, genome dynamics, comparative and functional genomics, and transcriptome analysis. Most of the software and databases on ATGC are (co)authored by researchers from South of France teams. Some are widely used and highly cited. South of France laboratories: * CRBM (transcriptomes and stem cells). * IBC (computational biology). * MiVEGEC (evolution and phylogeny). * LGDP (plant genomics). * LIRMM (computer science). * South Green (plant genomics).