🧵#Bioinformatics in #drug #discovery and development, a THREAD🧵🧵: #Bioinformatics is playing an increasingly important role in the discovery and development of new #drugs. In this thread, we'll explore how #bioinformatics is being used to identify new targets for drug intervention and optimize drug design.

🧵#Bioinformatics and its impact on #healthcare, a THREAD🧵🧵: #Bioinformatics is the application of #computational techniques to the analysis of #biological data, such as #DNA sequences and #protein #structures.

Are you interested in learning about #bioinformatics and working with #genomic data? Here's a detailed #learning path to get you started: To build a strong foundation in biology, you'll need to learn about:

🧵🧵 THREAD: #Bioinformatics applications - a deep dive into #pipelines and #workflows 🧵🧵 1. #Bioinformatics is the application of #computational techniques to the #analysis of #biological #data, such as #sequences, #structures, and #interactions, and is an essential field of modern biology and medicine.

🧵🧵 THREAD: 9 tips for successful #bioinformatics #projects 🧵🧵 1. Start by defining the aim, scope, and objectives of your project, and by identifying the #biological and #computational questions you want to answer.

🧵🧵 THREAD: #Bioinformatics and #AlphaFold 🧵🧵 1. #AlphaFold is a deep learning system developed by #DeepMind, to predict the 3D #structure of #proteins from their #aminoacid sequence.

🧵🧵 THREAD: 10 reasons why #bioinformaticians should use #Nextflow 🧵🧵 1. #Nextflow is an open-source platform for #bioinformatics #pipelines and #workflows, designed to make them #scalable, #reproducible, and #portable.

🧵🧵 THREAD: The role of #cloud #computing in #bioinformatics 🧵🧵 1. #Cloud #computing allows #bioinformaticians to access and analyze large and complex #biological #data sets in a fast, scalable, and cost-effective manner.

🧵#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.

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🧵🧵: Start by learning a high-level #programming language, such as #Python or #R, and familiarizing yourself with data structures and #algorithms commonly used in #bioinformatics. The #BioPython and #Bioconductor libraries are great resources for this.

🧵#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.

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:

🧬🧵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.