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Innovating the Future of Biotech

Transforming complex biological data into actionable insights through advanced bioinformatics solutions.

Innovating Science With Bioinformatics and Biotech Solutions

Solid Logix focuses on enabling scientific discovery and promoting biotechnology through innovative software and data-driven solutions. Our expertise bridges the gap between complicated biological difficulties and transformative insights, assisting enterprises in achieving ground-breaking outcomes.

Our Expertise

We’ve developed expertise across key areas, enabling us to deliver innovative solutions with rapid and impactful results.

Data Analysis & Visualization

Unlock the power of complex datasets with customized analytics and visualizations.

Genomic & Proteomic Solutions

Empowering advancements in genomics and proteomics with tailored tools.

DNA Helix Analysis
Automation for Research Labs

Streamline workflows with advanced automation technologies.

Precision Medicine

Developing solutions for personalized healthcare initiatives.

Biotech Software Development

Create robust software systems to support biotech organizations in innovation, efficiency, and growth.


Advancing Science Through Bioinformatics Excellence

Delivering software solutions to accelerate research, streamline data analysis, and facilitate breakthroughs that shape the future of biotechnology.

Our Solutions and Tools

When exploring novel questions about fundamental biology, health, and disease, our researchers sometimes encounter challenges where the necessary tools are unavailable. In such instances, we innovate by creating new tools or adapting existing ones to enable groundbreaking discoveries.

Iterative Development with Rapid Prototyping

We employ agile cycles to quickly prototype and test bioinformatics tools, incorporating feedback from researchers and end-users at every stage. This ensures tools are fine-tuned to meet scientific needs efficiently, reducing the time from concept to impactful discovery.

Continuous Integration of Emerging Tech

Our approach prioritizes the use of AI/ML algorithms, high-performance computing, and cloud-native solutions tailored for biotech challenges. This allows us to process and analyze complex biological data at scale, enabling breakthroughs in areas like precision medicine, genomics, and epidemiology.

Automation of Data Processing Pipelines

We emphasize automating complex bioinformatics workflows, such as sequencing analysis or molecular modeling. By reducing manual intervention, we minimize errors and free researchers to focus on generating insights, ultimately accelerating the pace of discovery and innovation.

Tech-First Agile Approach

Our Impact Areas

Leveraging our expertise, we’ve driven meaningful advancements in these key areas, delivering impactful results and shaping the future of science, technology, and innovation.

Genomic Research

Genomic Research

Advancing the understanding of genetic variation and disease through innovative bioinformatics solutions.

Disease Surveillance

Disease Surveillance

Supporting public health initiatives with real-time data insights and monitoring tools.

Clinical Trials

Clinical Trials

Enhancing clinical research with advanced analytics and streamlined data integration.

Drug Development

Drug Development

Accelerating pharmaceutical innovation with advanced data analysis and precision medicine solutions.

Agricultural Biotechnology

Agricultural Biotechnology

Developing innovative solutions to improve crop resilience and agricultural productivity.

Personalized Medicine

Personalized Medicine

Leveraging genomics to create targeted therapies and improve patient outcomes.

Advance Research Together with Us

Join forces with our team to create innovative tools that empower breakthroughs in biotech and bioinformatics. Together, we can streamline workflows, tackle complex challenges, and accelerate impactful discoveries.

Let’s Collaborate

The Adancement of Biotech

Solid Logix has consistently embraced innovation to remain at the forefront of the rapidly advancing biotech industry. By integrating cutting-edge technologies like AI-driven data analysis, high-performance computing, and cloud-based solutions, we empower researchers and organizations to tackle complex challenges. Our commitment to continuous learning and collaboration with industry leaders ensures that we stay ahead of emerging trends, delivering software solutions that drive breakthroughs in healthcare, bioinformatics, and life sciences. Solid Logix doesn’t just adapt to change—we lead it, providing tools that accelerate progress and transform possibilities into realities.

Lowered Costs
Cost of sequencing a human-sized genome.
Reduced Sequencing Time
Time to sequence a human-sized genome.
Increased Genome Data
Genomes deposited in GenBank repository.

Timeline of Genome Sequencing Advancements

Early 2000s

The Human Genome Project, which began in 1990, produced a "draft" human genome sequence over a 15-month period from April 1999 to June 2000. The estimated cost for generating that initial "draft" was approximately $300 million worldwide.

Source: National Human Genome Research Institute
Mid to Late 2000s

The introduction of next-generation sequencing technologies reduced both the time and cost of sequencing. By 2008, sequencing a human genome using these technologies cost only a few hundred dollars, a significant decrease from earlier years.

Source: National Human Genome Research Institute
2010s

Technological advancements continued to accelerate sequencing capabilities. By the mid-2010s, sequencing a human genome could be completed in a matter of days.

2020s

With the advent of third-generation sequencing technologies, such as Oxford Nanopore and PacBio, sequencing times have further decreased. As of 2024, sequencing a human genome can be accomplished in less than a day, with some technologies achieving this in just a few hours.


These advancements have not only reduced sequencing times but also significantly lowered costs, making genomic sequencing more accessible for research and clinical applications.

Note: The specific timeframes mentioned are approximate and can vary based on the sequencing technology and protocols used.