🧬🧵here is a Twitter thread explaining #Bioinformatics in simple terms:🧬🧵
#Bioinformatics is the field that uses computational tools and methods to analyze and interpret #biological #data.
This can include analyzing #DNA and #protein #sequences, predicting the structure and function of #molecules, and modeling biological systems.
#Bioinformatics is a rapidly growing field that is essential for many areas of #biology, including #genomics, #proteomics, and #drug #discovery.
It involves a combination of #biology, #computer science, #statistics, and other disciplines to solve complex biological problems.
Some examples of #bioinformatics tools and techniques include sequence #alignment, #gene #prediction, and #phylogenetic analysis.
Overall, #Bioinformatics is an exciting and rewarding field that offers many opportunities for researchers and professionals with the right skills and expertise.

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More from @CloudGenomics

Dec 4
🧵#Bioinformatics applications, a THREAD🧵🧵:
One of the key areas of #bioinformatics is the application of #computational techniques to the analysis of large #datasets of biological information, such as #genomic, #proteomic, and #metabolomic data.
#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.
Read 8 tweets
Dec 3
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
Read 8 tweets

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