Discover and read the best of Twitter Threads about #bioinformaticians
Most recents (5)
🧵🧵 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.
2. #AlphaFold has been applied and tested extensively in the biennial #CASP (Critical Assessment of protein Structure Prediction) experiment, and has achieved state-of-the-art performance.
🧵🧵 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.
2. #Nextflow allows #bioinformaticians to write their #pipelines and #workflows in a simple and expressive domain-specific language, called #Nextflow Script.
1. #Cloud #computing allows #bioinformaticians to access and analyze large and complex #biological #data sets in a fast, scalable, and cost-effective manner.
2. The #cloud provides a flexible and dynamic #infrastructure that can be easily adjusted to the changing needs and demands of #bioinformatics projects.
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.
#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.
