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Bioinformatics

202 Sentences | 10 Meanings

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The research team used bioinformatics techniques to study the metabolic pathways of bacteria.
Bioinformatics tools are used to compare genetic sequences between different species.
The scientist used bioinformatics tools to analyze the genetic data.
The bioinformatics team processed a large dataset of DNA sequences.
The bioinformatics pipeline enabled the scientist to annotate a newly sequenced genome.
The bioinformatics program provided a comprehensive analysis of the microbiome composition.
The bioinformatics approach used machine learning to predict protein-protein interactions.
Bioinformatics methods are becoming increasingly important in the field of genetics.
The bioinformatics tools allowed the identification of novel gene targets for drug development.
The bioinformatics analysis revealed a new gene associated with cancer.
The bioinformatics pipeline was used to analyze large-scale transcriptomics data.
The bioinformatics software helped analyze the DNA sequences.
The bioinformatics approach helped researchers to identify new drug targets.
Bioinformatics analysis revealed patterns in gene expression data that were not previously detected.
Bioinformatics software is used to identify genetic variations associated with diseases.
Bioinformatics tools are used to study the interactions between proteins.
The development of bioinformatics has led to many breakthroughs in the field of genomics.
Bioinformatics algorithms can be used to predict the function of unknown genes.
Bioinformatics techniques are used to identify potential drug targets.
Bioinformatics is used to predict the structure and function of proteins.
Bioinformatics is used to study the genetic sequence of organisms.
Bioinformatics helps scientists analyze large amounts of genetic data.
Bioinformatics tools are used to study the interactions between genes and the environment.
The field of bioinformatics has revolutionized drug discovery.
Bioinformatics is a critical tool for understanding the human genome.
The field of bioinformatics is becoming increasingly important in the development of new drugs.
The use of bioinformatics can help identify potential drug targets.
The development of new vaccines often relies on bioinformatics analysis.
The analysis of protein structures is an important part of bioinformatics.
Advances in bioinformatics have led to the development of personalized medicine.
Many universities offer degree programs in bioinformatics.
Bioinformatics plays a crucial role in understanding the function of genes.
Bioinformatics can be used to identify genetic mutations associated with disease.
Bioinformatics methods are used to study the evolution of species.
Bioinformatics has enabled scientists to perform high-throughput sequencing of DNA and RNA samples.
The bioinformatics team is working on a project to sequence the human genome.
The field of metagenomics relies heavily on bioinformatics to analyze complex microbial communities.
Bioinformatics has revolutionized the field of genomics by allowing researchers to analyze massive amounts of genetic data.
He decided to pursue a career in bioinformatics after completing his biology degree.
Bioinformatics tools can be used to predict protein structures and functions.
The development of bioinformatics tools has greatly facilitated drug discovery and personalized medicine.
Bioinformatics is playing a key role in the development of precision medicine, where treatments are tailored to an individual's genetic profile.
The hospital has a bioinformatics department that analyzes patient data to identify genetic mutations.
The bioinformatics approach has led to the discovery of new drug targets and therapeutic agents.
The company specializes in developing bioinformatics software.
The development of bioinformatics pipelines for analyzing large-scale epigenetic data has greatly advanced our understanding of the role of epigenetics in disease.
The use of bioinformatics tools can help identify novel proteins and metabolic pathways.
Bioinformatics helps scientists analyze genetic data.
The integration of bioinformatics and artificial intelligence is expected to greatly enhance the accuracy and speed of drug discovery.
The bioinformatics field is constantly evolving with new technologies and techniques.
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