#Genomic data provides information about the entire genetic makeup of a #biological system, including the #sequences of all its genes and the #regulation of their e#xpression.
#Proteomic data provides information about all the #proteins in a biological system, including their #structures, functions, and interactions.
#Metabolomic data provides information about the small #molecules involved in the #metabolism of a biological system, including intermediates, products, and waste products.
By analyzing these datasets, #bioinformaticians are able to gain new insights into the workings of living systems, and to develop new technologies and therapies to improve human health and well-being.
Join us as we explore the world of bioinformatics and see how it is helping to unlock the secrets of the natural world and improve human health and well-being. We're cloud genomics.
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Are you interested in getting started in #bioinformatics but not sure where to begin? Here are some tips to help you get started on your journey. A THREAD🧵🧵:
Next, learn about #genomic data formats and standards, such as #FASTA, #FASTQ, and #GFF. This will allow you to effectively manipulate and analyze large-scale #genomic#datasets. The #NCBI SRA and #EBI ENA databases are great places to find real-world data to work with.
Thread explaining a complete pipeline for #RNA-seq analysis 🧵
RNA-seq is a powerful technique that allows researchers to study the expression of genes at a global level. The RNA-seq analysis pipeline typically involves several different steps, including:
1. Quality control and filtering of the raw RNA-seq data 2. Alignment of the reads to the reference genome 3. Assembly of the aligned reads into transcripts 4. Quantification of gene and transcript expression levels