🧵#Bioinformatics applied to genomics, a THREAD🧵🧵:
#Genomics is the study of the entire #genetic makeup of an #organism, including its #DNA sequence, #gene structure, and regulation of #gene #expression.
#Bioinformatics is the application of computational techniques, such as #machine #learning and data mining, to the analysis of large datasets of biological information, such as #genomic, #proteomic, and #metabolomic data.
By analyzing #genomic data using #bioinformatics tools and algorithms, such as #BLAST and #FASTA, researchers can gain new insights into the structure and function of #genes, and the mechanisms of #gene #regulation.
#Bioinformatics can also be used to identify #genetic #variations and #mutations that are associated with specific diseases, such as cancer and inherited disorders, using tools such as #GATK and #VCF.
In addition to its applications in human #health, #bioinformatics can also be used to study the #genetics of #plants and #animals, and to develop new agricultural and environmental #technologies.
Some examples of #bioinformatics tools and #algorithms commonly used include #sequence #alignment algorithms, such as Smith-Waterman and Needleman-Wunsch, #gene #expression analysis tools, such as DESeq and EdgeR,and genetic variant calling software, such as VarScan and FreeBayes
#Bioinformatics plays a critical role in modern #genomics research, and is essential for unlocking the full potential of #genomic data in advancing our understanding of living systems.
Join our #community of #researchers, #students, and #enthusiasts, and learn more about the exciting world of #bioinformatics and #genomics. Follow us on Twitter and check out our blog and newsletter for updates and resources. #cloudgenomics
• • •
Missing some Tweet in this thread? You can try to
force a refresh
