🧵#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.
In #healthcare, #bioinformatics is used to gain insights into the #genetic basis of diseases, and to develop new #diagnostic tests and #treatments.
Some of the tools and processes currently used in the #bioinformatics industry include:
• Sequence #alignment algorithms, such as #BLAST and Smith-Waterman, which are used to compare and align #DNA and #protein sequences
#Gene #prediction programs, such as Glimmer and #GeneMark, which are used to identify #genes within a #genome
#Phylogenetic reconstruction tools, such as Phylip and RAxML, which are used to infer evolutionary relationships among different species
#Databases of known protein structures, such as the Protein Data Bank (#PDB)
• Tools for predicting #protein function, such as PFAM and InterPro
• Software for analyzing and visualizing #gene #expression data, such as GenePattern and #Galaxy
Many of these tools and resources are available as #open-source software, allowing researchers to use and build upon them without incurring licensing fees.
In addition to these tools, there are also many online resources available for #bioinformatics professionals, including forums, blogs, and online courses that can help them stay up-to-date on the latest developments in the field.
With the increasing availability and accessibility of #bioinformatics tools and resources, professionals in the field have a wealth of tools at their disposal to help them tackle complex biological problems and improve healthcare outcomes.
Want to know more? Join our community of #bioinformatics professionals and stay at the forefront of the latest developments in the field! As a member of our community, you'll have access to exclusive resources, expert insights, and a supportive network of like-minded individuals.

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More from @CloudGenomics

Dec 14
🧵#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.
One key aspect of #bioinformatics in drug discovery is the identification of potential #drug #targets.
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Dec 13
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:
The #structure and #function of #cells, including the various #organelles and their roles in the cell. This will help you understand how cells work and how they carry out essential functions such as #metabolism and #energy production.
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Dec 12
🧵🧵 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.
2. #Bioinformatics has many exciting applications in various fields, such as #genetics, #genomics, #proteomics, and #metabolomics, that can provide new insights into the workings of living systems, and can help to advance science and society.
Read 8 tweets
Dec 11
🧵🧵 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.
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Dec 10
🧵🧵 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.
Read 9 tweets
Dec 9
🧵🧵 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.
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