Our Solutions
Our Solutions
Get to Know Our Multiomic Areas
Discover Our Multiomic Areas
We offer detailed and personalized analyses for different scientific and industrial segments.
We offer detailed and personalized analyses for different scientific and industrial segments.
Bioinformatics
About
Bioinformatics combines biology, computing, and mathematics to analyze and interpret biological data using algorithms, databases, and machine learning techniques to study genetic sequences, protein structures, and cellular processes by integrating multi-omic data.
Subareas
Preprocessing: Noise filtering, error correction, and quality control.
Analysis: Sequence alignment, genome assembly, and gene annotations.
Interpretation: Use of databases and statistical tools to extract functional insights.
Data Integration: Combines information from different "omics" to reveal complex biological pathways and molecular mechanisms.
Bioinformatics
About
Bioinformatics combines biology, computing, and mathematics to analyze and interpret biological data using algorithms, databases, and machine learning techniques to study genetic sequences, protein structures, and cellular processes by integrating multi-omic data.
Subareas
Preprocessing: Noise filtering, error correction, and quality control.
Analysis: Sequence alignment, genome assembly, and gene annotations
Interpretation: Use of databases and statistical tools to extract functional insights.
Data Integration: Combines information from different "omics" to reveal complex biological pathways and molecular mechanisms.
Bioinformatics
About
Bioinformatics combines biology, computing, and mathematics to analyze and interpret biological data using algorithms, databases, and machine learning techniques to study genetic sequences, protein structures, and cellular processes by integrating multi-omic data.
Subareas
Preprocessing: Noise filtering, error correction, and quality control.
Analysis: Sequence alignment, genome assembly, and gene annotations
Interpretation: Use of databases and statistical tools to extract functional insights.
Data Integration: Combines information from different "omics" to reveal complex biological pathways and molecular mechanisms.
Bioinformatics
About
Bioinformatics combines biology, computing, and mathematics to analyze and interpret biological data using algorithms, databases, and machine learning techniques to study genetic sequences, protein structures, and cellular processes by integrating multi-omic data.
Subareas
Preprocessing: Noise filtering, error correction, and quality control.
Analysis: Sequence alignment, genome assembly, and gene annotations
Interpretation: Use of databases and statistical tools to extract functional insights.
Data Integration: Combines information from different "omics" to reveal complex biological pathways and molecular mechanisms.
Frequently Asked Questions:
What is multiomic analysis?
Multi-omics analysis combines different approaches (genomics, proteomics, metabolomics, lipidomics, and exposomics) to provide an integrated view of complex biological processes.
For which sectors is multi-omics analysis useful?
How to know which exam to choose?
How long does it take to receive the results?
How can I hire a service from Genika?
Frequently Asked Questions:
What is multiomic analysis?
Multi-omics analysis combines different approaches (genomics, proteomics, metabolomics, lipidomics, and exposomics) to provide an integrated view of complex biological processes.
For which sectors is multi-omics analysis useful?
How to know which exam to choose?
How long does it take to receive the results?
How can I hire a service from Genika?
Frequently Asked Questions:
What is multiomic analysis?
Multi-omics analysis combines different approaches (genomics, proteomics, metabolomics, lipidomics, and exposomics) to provide an integrated view of complex biological processes.
For which sectors is multi-omics analysis useful?
How to know which exam to choose?
How long does it take to receive the results?
How can I hire a service from Genika?
Frequently Asked Questions:
What is multiomic analysis?
Multi-omics analysis combines different approaches (genomics, proteomics, metabolomics, lipidomics, and exposomics) to provide an integrated view of complex biological processes.
For which sectors is multi-omics analysis useful?
How to know which exam to choose?
How long does it take to receive the results?
How can I hire a service from Genika?
Ready to Explore Multiomic Science?
Discover how our analyses can optimize processes,
ensure quality, and promote innovation in your sector.
Ready to Explore Multi-Omics Science?
Discover how our analyses can optimize processes,
ensure quality, and promote innovation in your sector.
Ready to Explore Multiomic Science?
Discover how our analyses can optimize processes,
ensure quality, and promote innovation in your sector.
Ready to Explore Multi-Omics Science?
Discover how our analyses can optimize processes,
ensure quality, and promote innovation in your sector.