2. The #cloud provides a flexible and dynamic #infrastructure that can be easily adjusted to the changing needs and demands of #bioinformatics projects.
4. The cloud enables #bioinformaticians to collaborate and share data and resources with other researchers across the globe in a secure and seamless manner.
5. The use of #cloud#computing in #bioinformatics is expected to continue to grow and evolve, as more data and more complex analyses are generated and performed.
6. Cloud genomics is a pioneer in the field of cloud-based bioinformatics, providing expert advice and solutions to help researchers and organizations succeed in their bioinformatics projects.
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.
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.
#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.
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