7. #Nextflow integrates seamlessly with other tools and services, such as AWS and Google Cloud, to provide a complete and powerful bioinformatics solution.
8. #Nextflow offers a rich ecosystem of community-contributed plugins and modules, to extend the capabilities and functionality of the platform.
9. #Nextflow is actively developed and supported by a vibrant and growing community of users and contributors, to ensure its continued evolution and innovation.
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.
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🧵🧵:
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