Top AI tools for genomics, drug discovery, and machine learning

Machine Learning


The introduction of artificial intelligence has become a paradigm shifter in the dynamic field of biological research. Artificial intelligence (AI)-powered tools are revolutionizing bioinformatics, helping to speed drug development and decipher genomic puzzles. Here are the top AI tools for genomics, drug discovery, and machine learning ML.

deep variant

Google's variant calling tool is DeepVariant. This analysis pipeline extracts genetic variation from data generated by next-generation DNA sequencing using deep neural networks.

DNA nexus

DNAnexus is a cloud-based genome data management service. Precision Health Data Cloud enables biomedical companies to accelerate scientific discovery and enhance patient care.

rosetta

The Rosetta software suite includes protein structural analysis and computational modeling. This has enabled remarkable scientific advances in computational biology, such as creating enzymes and proteins from scratch, docking ligands, and predicting the structure of biological macromolecules and complexes.

Bionano

Bionano's VIA receives and interprets data from microarrays, next-generation sequencing (NGS), and optical genome mapping (OGM) to understand the landscape of all types of genomic variation and uncover important insights. It is the only analysis program that produces

Dragen

Bioinformatics data driven by artificial intelligence is housed on Illumina's DRAGEN platform. All laboratories, large and small, can benefit from his DRAGEN secondary analysis, a robust bioinformatics software suite.

path AI

PathAI is a field that utilizes AI to support cancer diagnosis. This technology allows patients to receive accurate diagnosis and efficient treatment. It leverages artificial intelligence and is the result of meaningful collaboration between biopharmaceuticals, laboratories, and clinicians.

Seven Bridges

Seven Bridges is a biological data analytics company that accelerates advances in precision medicine, cancer genomics, and drug discovery. It is a bioinformatics platform that incorporates AI capabilities for genomics research.

Versam

VarSome is an AI-driven tool for interpreting variants. It serves as a platform for variant discovery, data aggregation, and building a community of variant expertise.

bench science

If you're looking for artificial intelligence solutions for preclinical research and development, look no further than BenchSci. We use proprietary technology to decipher the complexities of biomedical research.

parablic

Parabricks, a free software suite, can be used for secondary analysis of DNA and RNA data from next-generation sequencing (NGS). Genomics analysis has been accelerated by leveraging GPU-based parallel computing.

Biotherion

The Biocellion platform uses artificial intelligence to mimic cellular activity. Biocellion's digital twin, YAcc (Yield Accelerator), helps cellular agriculture businesses increase production and increase profits.

deep metabolism

A deep learning system that can predict phenotypes using genome sequencing is DeepMetabolism. It incorporates supervised and unsupervised learning into neural network models, which use biological knowledge to build and make predictions.

base pair

Basepair uses artificial intelligence to analyze next-generation sequencing (NGS) data. Its state-of-the-art platform can be used by researchers in academic, business, and medical fields.

Indoor

Incitro is revolutionizing the pharmaceutical industry using data-driven techniques such as machine learning and high-throughput biology.

Tiny Bio

By helping real scientists be more productive and make better use of their resources (both financial and human), Tinybio became the first genome-generating AI company. Analyze your microbiome and metagenomics with AI solutions.

biobum

When it comes to functional genomics, BioBam has you covered with AI-powered solutions. BioBam is an industry-leading bioinformatics company accelerating research in many areas including agricultural genomics, environmental NGS research, microbiology, and more. BioBam provides a full range of easy-to-use software solutions for biological research.

medgenome

MedGenome uses AI for genomic research and diagnostics. MedGenome is a global provider of multi-omics solutions that help advance genomics research and drug development.

peta gene

PetaGene leverages AI to organize and reduce genomics data. PetaGene's software allows you to compress large genomic data sets without compromising access or quality. It also works with NetApp technology to significantly reduce storage costs.

Genialis

Genialis, an AI-driven platform, makes it easy to interpret genomic data.

Immunai

When it comes to immunology, Immunai is leveraging AI to make a difference. Immunai is responsible for target and therapeutic development using technology platforms with multi-omic patient data.

benevolent AI

At BenevolentAI, we leverage AI to make people smarter. We are building technology to help researchers better understand how diseases progress, find new therapeutic targets, and make more informed decisions.

Dhanshree Shenwai is a computer science engineer with extensive experience in FinTech companies covering the fields of finance, cards and payments, and banking, with a keen interest in applications of AI. She is passionate about exploring new technologies and advancements in today's evolving world to make life easier for everyone.

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