Solvien is a multidisciplinary technology platform based on software and bioinformatics, focusing on real-world problems through data analysis and computational
A single omics layer is no longer enough. Multiomic analysis combines genomics, transcriptomics, proteomics, and metabolomics to deliver deeper insights into biology and the future of research.
#Multiomics#Bioinformatics#Genomics
At Solvien, we combine bioinformatics, data analysis, and data science approaches to build research-specific, reproducible analysis workflows and scientific outputs.
🔗 Explore our solutions: https://t.co/Gup0daVr13
#DataAnalysis#Statistics#Bioinformatics
Curious how artificial intelligence is transforming metagenomic data analysis? Read our full article for a deeper scientific perspective:
https://t.co/gR55a0sJKh
Metagenomic research is rapidly evolving as artificial intelligence and machine learning enable researchers to extract meaningful biological insights from increasingly complex sequencing datasets.
#Metagenomics#Microbiome#Bioinformatics#Genomics#LifeSciences
From taxonomic classification to functional profiling and biomarker discovery, AI-driven approaches are accelerating microbiome research and expanding its applications across healthcare, agriculture, and environmental sciences.
Meet us at BIOEXPO "Yaşam Bilimleri" Fuarları!
Solvien will be exhibiting at BioExpo 2026, taking place on October 14–16, 2026, at the Istanbul Lutfi Kirdar Exhibition & Convention Center.
Stop spending hours searching for the right dataset. Mira Discover is an AI-powered scientific data discovery module that helps researchers find relevant datasets faster.
🚀 Try it now at https://t.co/DtaV4VPVG1
#Research#DataDiscover#AI
The future of genomics will depend not only on generating more data, but on extracting meaningful knowledge from it. AI is rapidly changing how we decode biology.
Genomic research is producing data at an unprecedented scale, and AI is becoming essential for turning this complexity into biological insight.
Read more: https://t.co/4QeY5jxoEi
#Genomics#Bioinformatics#AI
AI can analyze millions of genetic variants simultaneously, helping researchers identify disease mechanisms and functional genomic regions faster than ever before.
Our report explores the technologies driving this evolution, including workflow management platforms, HPC, cloud infrastructure, AI, foundation models, large language models (LLMs), and emerging applications of quantum computing.
Bioinformatics is entering a new era powered by workflow automation, AI, cloud computing, and high-performance computing.
Read our latest report:
https://t.co/Uj3pmDe3oA
#Bioinformatics#ComputationalBiology#ScientificComputing
As biological data continue to grow in scale and complexity, building scalable, reproducible, and intelligent computational infrastructures has become essential for accelerating biological discovery and advancing precision medicine.
AI is transforming transcriptomic analysis by turning complex gene expression data into actionable biological insights, accelerating discoveries in disease research and precision medicine. #Transcriptomics#Bioinformatics#Genomics
Curious about the technologies expected to transform genomics over the next decade? Read our full article for a deeper scientific perspective: https://t.co/bY2zY2S7wx
Advances in AI, multi-omics integration, single-cell technologies, and genome engineering are reshaping how researchers study biology and develop new diagnostics and therapies.
@alexei_sid Absolutely, GCDSS supports earlier diagnosis, more informed treatment decisions, and evidence-based drug selection by turning complex genomic data into actionable clinical insights
Genomic Clinical Decision Support Systems (GCDSS) support variant interpretation, pharmacogenomics, and hereditary disease risk assessment, making genomic data more actionable in clinical practice.
#Genomics#PrecisionMedicine#Bioinformatics#DigitalHealth