Supplemental Data 1-S1. Timeline of important events shaping contemporary bioinformatics and comparative genomics. Timeline is not intended to be absolutely comprehensive of each of the observed fields, their respective histories. See footnotes for key review publications, sources in addition to those listed in Reference column. Field of contributions are color-coded accordingly: purple= computer science/engineering, blue= legislation/government action, biology= green, economic/markets= orange, academic institution= pink

Snapshot img

Bioinformatics Market Size 2025-2029

The bioinformatics market size is forecast to increase by USD 15.98 billion at a CAGR of 17.4% between 2024 and 2029.

The market is experiencing significant growth, driven by the reduction in the cost of genetic sequencing and the development of advanced bioinformatics tools for Next-Generation Sequencing (NGS) technologies. These advancements have led to an increase in the volume and complexity of genomic data, necessitating the need for sophisticated bioinformatics solutions. However, the market faces challenges, primarily the shortage of trained laboratory professionals capable of handling and interpreting the vast amounts of data generated. This skills gap can hinder the effective implementation and utilization of bioinformatics tools, potentially limiting the market's growth potential.
Companies seeking to capitalize on market opportunities must focus on addressing this challenge by investing in training programs and collaborating with academic institutions. Additionally, data security, data privacy, and regulatory compliance are crucial aspects of the market, ensuring the protection and ethical use of sensitive biological data. Partnerships with technology providers and service organizations can help bridge the gap in expertise and resources, enabling organizations to leverage the power of bioinformatics for research and development, diagnostics, and personalized medicine applications.

What will be the Size of the Bioinformatics Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free Sample

The market is experiencing significant growth, driven by the increasing demand for precision medicine and the exploration of complex biological systems. Structural variation and gene regulation play crucial roles in gene networks and biological networks, necessitating advanced tools for SNP genotyping and statistical analysis. Precision medicine relies on the identification of mutations and biomarkers through mutation analysis and biomarker validation.
Metabolic networks, protein microarrays, CDNA microarrays, and RNA microarrays contribute to the discovery of new insights in evolutionary biology and conservation biology. The integration of these technologies enables a comprehensive understanding of gene regulation, gene networks, and metabolic pathways, ultimately leading to the development of novel therapeutics. Protein-protein interactions and signal transduction pathways are essential in understanding protein networks and metabolic pathways. Ontology mapping and predictive modeling facilitate data warehousing and data analytics in this field.

How is this Bioinformatics Industry segmented?

The bioinformatics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Application

  Molecular phylogenetics
  Transcriptomic
  Proteomics
  Metabolomics


Product

  Platforms
  Tools
  Services


End-user

  Pharmaceutical and biotechnology companies
  CROs and research institutes
  Others


Geography

  North America

    US
    Canada
    Mexico


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan


  Rest of World (ROW)

By Application Insights

The molecular phylogenetics segment is estimated to witness significant growth during the forecast period. In the dynamic and innovative realm of bioinformatics, various technologies and techniques are shaping the future of research and development. Molecular phylogenetics, a significant branch of bioinformatics, employs molecular data to explore the evolutionary connections among species, offering enhanced insights into the intricacies of life. This technique has been instrumental in numerous research domains, such as drug discovery, disease diagnosis, and conservation biology. For instance, it plays a pivotal role in the study of viral evolution. By deciphering the molecular data of distinct virus strains, researchers can trace their evolutionary history and unravel their origins and transmission patterns.

Furthermore, the integration of proteomic technologies, network analysis, data integration, and systems biology is expanding the scope of bioinformatics research and applications. Bioinformatics services, open-source bioinformatics, and commercial bioinformatics software are vital components of the market, catering to the diverse needs of researchers, industries, and institutions. Bioinformatics databases, including sequence databases and bioinformatics algorithms, are indispensable resources for storing, accessing, and analyzing biological data. In the realm of personalized medicine and drug di

Computational_Genomics_ Instructor: Name: Dr. Rodolfo Aramayo, PhD Email address: raramayo@tamu.edu Location: Department of Biology Room 412A, Biological Sciences Building West (BSBW) Texas A&M University College Station, TX 77843-3258 Description: This repository contains materials used to teach Computational Genomics in the Spring 2023. This course was heavily based on materials extracted from and/or adapted from: ENSEMBL, and ENSEMBL Tutorials and Examples. Genomes. 2nd edition Current Topics in Genome Analysis Galaxy Training Materials Course Topics: History of Bioinformatics History of Genomics Cloning Basics The Carbon Clarke Formula Introduction to Galaxy Genome Files: FASTA Format Uploading Data into Galaxy Introduction to Text Manipulations Introduction to Regular Expressions Introduction to Gene Models and Tables: GFF3 Files Introduction to Genome Annotation Cyverse User Portal Introduction to Genome Browsers (ENSEMBL) Introduction to Comparative Genomics Working with Genome Files Introduction to Sequence Analysis Computational Arithmetics Author: Rodolfo Aramayo (raramayo@tamu.edu) License: All content produced in this site is licensed by: CC BY-NC-SA 4.0

Here you find the transcripts of interviews collected by Sabina Leonelli as part of the ERC project "The Epistemology of Data-Intensive Science". You also find the information sheet provided to interviewees, which gives you the context for this project. Further information and related publications can be found at www.datastudies.eu. One paper that specifically makes use of these interviews was published by Sabina Leonelli in the journal Philosophy of Science in 2018, under the title "Data in Time: Time-Scales of Data Use in the Life Sciences." The transcripts document yeast researchers' attitudes to data curation and the use of databases in their field. Researchers have consented to have these transcripts made available as Open Data. Other interviewees did not give consent, so those transcripts are held securely by the research team in Exeter.

Explore the historical Whois records related to blog-bioinformatics.science (Domain). Get insights into ownership history and changes over time.

Explore the historical Whois records related to bioinformatics-outsourcing-service.com (Domain). Get insights into ownership history and changes over time.

This linear chart displays the number of PERM cases filed for graduates in Bioinformatics And Statistics from 2020 to 2023, highlighting the trends and changes in sponsorship over the years. It provides a deep dive into how graduates in this specific major have engaged with potential employers for permanent residency in the U.S., illustrating the major’s effectiveness in connecting students with career opportunities that lead to permanent residency

This presentation was given at the "Regional Workshop on Strategies for Digitization and Mobilisation of Natural History Collection Data" held at Kolkatta, India during 15-16 June 2011.

IntroductionClinical genomics promise to be especially suitable for the study of etiologically heterogeneous conditions such as Autism Spectrum Disorder (ASD). Here we present three siblings with ASD where we evaluated the usefulness of Whole Genome Sequencing (WGS) for the diagnostic approach to ASD.MethodsWe identified a family segregating ASD in three siblings with an unidentified cause. We performed WGS in the three probands and used a state-of-the-art comprehensive bioinformatic analysis pipeline and prioritized the identified variants located in genes likely to be related to ASD. We validated the finding by Sanger sequencing in the probands and their parents.ResultsThree male siblings presented a syndrome characterized by severe intellectual disability, absence of language, autism spectrum symptoms and epilepsy with negative family history for mental retardation, language disorders, ASD or other psychiatric disorders. We found germline mosaicism for a heterozygous deletion of a cytosine in the exon 21 of the SHANK3 gene, resulting in a missense sequence of 5 codons followed by a premature stop codon (NM_033517:c.3259_3259delC, p.Ser1088Profs*6).ConclusionsWe reported an infrequent form of familial ASD where WGS proved useful in the clinic. We identified a mutation in SHANK3 that underscores its relevance in Autism Spectrum Disorder.

Data sets for 'The origin and evolution of biosynthetic pathway of fusidane-type antibiotics through multiple horizontal gene transfers'

All alignment files and datasets used in the manuscript.

Understanding the contribution of neutral and adaptive evolutionary processes to population differences is often necessary for better-informed management and conservation of rare species. In this study, we focused on Pinus torreyana Parry (Torrey pine), one of the world’s rarest pines, endemic to one island and one mainland population in California. Small population size, low genetic diversity, and susceptibility to abiotic and biotic stresses suggest Torrey pine may benefit from inter-population genetic rescue to preserve the species’ evolutionary potential. We leveraged reduced representation sequencing to tease apart the respective contributions of stochastic and deterministic evolutionary processes to population differentiation. We applied these data to model spatial and temporal demographic changes in effective population sizes and genetic connectivity, to assess loci possibly under selection, and to evaluate genetic rescue as a potential conservation strategy. Overall, we observed exceedingly low standing variation reflecting consistently low effective population sizes across time and limited genetic differentiation suggesting maintenance of gene flow following divergence. However, genome scans identified more than 2000 candidate SNPs for divergent selection. Combined with previous observations indicating population phenotypic differentiation, this indicates natural selection has likely contributed to the evolution of population genetic differences. Thus, while reduced genetic diversity, small effective population size, and genetic connectivity between populations suggest genetic rescue could mitigate the adverse effects of rarity, divergent selection suggests genetic mixing could disrupt adaptation. Further work evaluating the fitness consequences of inter-population admixture is necessary to empirically evaluate the trade-offs associated with genetic rescue in Torrey pine. Methods All genetic data sets within this repository represent either do novo assembly or range-wide single-nucleotide polymorphisms (SNPs) obtained using the dDocent pipeline (Puritz et al. 2014a; Puritz et al. 2014b) for the critically endangered Torrey pine (Pinus torreyana Parry). Filtering of data sets was either performed using VCFtools (Danecek et al. 2011) or customized R scripts (available upon request to the corresponding author). For details on how these datasets were generated, refer to the Materials and Methods section in the published manuscript. References: Puritz, J. B., Hollenbeck, C. M., & Gold, J. R. (2014a). dDocent: a RADseq, variant-calling pipeline designed for population genomics of non-model organisms. PeerJ, 2, e431. doi:10.7717/peerj.431 Puritz, J. B., Matz, M. V, Toonen, R. J., Weber, J. N., Bolnick, D. I., & Bird, C. E. (2014b). Demystifying the RAD fad. Molecular Ecology, 23(24), 5937–5942. doi: 10.1111/mec.12965 Danecek, P., Auton, A., Abecasis, G., Albers, C. A., Banks, E., DePristo, M. A., … Group, 1000 Genomes Project Analysis. (2011). The variant call format and VCFtools. Bioinformatics, 27(15), 2156–2158. doi: 10.1093/bioinformatics/btr330

This linear chart displays the number of PERM cases filed for graduates in Bioinformatics, Structural Biochemistry And Genomics from 2020 to 2023, highlighting the trends and changes in sponsorship over the years. It provides a deep dive into how graduates in this specific major have engaged with potential employers for permanent residency in the U.S., illustrating the major’s effectiveness in connecting students with career opportunities that lead to permanent residency

Aim: Shaped by both climate change and sea-level rise, tidal salt marshes represent ephemeral systems that are home to only a few, highly specialized species. The dynamic ecological histories and spatial complexities of these habitats, however, render it challenging to reconstruct the complete biogeographic histories of their endemic taxa. Here, we leverage three species of North American Ammospiza sparrows that inhabit tidal marshes ( Ammospiza caudacuta, A. maritima, and A. n. subvirgatus) and closely related freshwater species to demonstrate the utility of whole-genome data in resolving demographic and evolutionary history as it relates to divergence and dispersal events in ephemeral ecosystems. We employ a combination of demographic and biogeographic reconstructions to shed new light on the colonization history of freshwater-saline environments in this system.

Location: North America

Taxon: Ammospiza Sparrows

Methods: We sequenced whole genomes from Ammospiza sparrows to address...

This is an updated version of the earlier dataset. We removed the directory "SegmentationResultsMartignano2021". This data was incorrect, and the correct version is now moved to the source code tree at: 10.5281/zenodo.6641763. We also added a new set of files called doubleBarcodeIds, which contains IDs of all reads with two barcodes (see Methods). Datasets accompanying the paper https://doi.org/10.1101/2021.10.18.464684

This linear chart displays the number of PERM cases filed for graduates in College Of Engineering And Computing Medical And Bioinformatics from 2020 to 2023, highlighting the trends and changes in sponsorship over the years. It provides a deep dive into how graduates in this specific major have engaged with potential employers for permanent residency in the U.S., illustrating the major’s effectiveness in connecting students with career opportunities that lead to permanent residency

Inherited mutations in the CHEK2 gene have been associated with an increased lifetime risk of developing breast cancer (BC). We aim to identify in the study population the prevalence of mutations in the CHEK2 gene in diagnosed BC patients, evaluate the phenotypic characteristics of the tumor and family history, and predict the deleteriousness of the variants of uncertain significance (VUS). A genetic study was performed, from May 2016 to April 2020, in 396 patients diagnosed with BC at the University Hospital Lozano Blesa of Zaragoza, Spain. Patients with a genetic variant in the CHEK2 gene were selected for the study. We performed a descriptive analysis of the clinical variables, a bibliographic review of the variants, and a cosegregation study when possible. Moreover, an in-depth bioinformatics analysis of CHEK2 VUS was carried out. We identified nine genetic variants in the CHEK2 gene in 10 patients (two pathogenic variants and seven VUS). This supposes a prevalence of 0.75% and 1.77%, respectively. In all cases, there was a family history of BC in first- and/or second-degree relatives. We carried out a cosegregation study in two families, being positive in one of them. The bioinformatics analyses predicted the pathogenicity of six of the VUS. In conclusion, CHEK2 mutations have been associated with an increased risk for BC. This risk is well-established for foundation variants. However, the risk assessment for other variants is unclear. The incorporation of bioinformatics analysis provided supporting evidence of the pathogenicity of VUS.

Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company Biome-bioinformatics.

Figure S1 contains allele frequency counts for duplications, inversions and deletions. Figure S2 contains clustering of the duplications and melon accessions based on presence/absence of duplications. Figures S3-S5 contain maximum likelihood trees based on duplications, inversions and deletions, respectively. Figure S6 contains a maximum likelihood tree with bootstrap values based on combined SV events. Table S1 contains the details of accessions used in this study including country of origin, accession number, common name and groups and subspecies they belong to. Table S2 contains the presence/absence variation (PAV) of 104 genes in linkage group V in 100 melon accessions. Table S3 contains the overrepresented GO terms in genes overlapping with SV.

This presentation was given at the "Regional Workshop on Strategies for Digitization and Mobilisation of Natural History Collection Data" held at Kolkatta, India during 15-16 June 2011.