Thread by @CloudGenomics

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.

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.

Familiarize yourself with common #bioinformatics tools and algorithms, such as #BLAST, multiple #sequence #alignment, and #phylogenetic inference. The #Biopython and #Bioconductor libraries, as well as tools like #Galaxy, can be useful for this.

Join online #communities and forums, such as #Biostar and Stack Overflow, to connect with other #bioinformaticians and learn from their experiences.

Keep up to date with the latest research in the field by reading papers and attending conferences and workshops, such as the #ISMB conference series.

Consider pursuing advanced training or certification in #bioinformatics, such as a graduate degree or specialized coursework. Programs like the one at Johns Hopkins University are highly regarded in the field.

Developing a strong understanding of the ethical and privacy considerations surrounding #genomic #data is crucial. Make sure to read up on best practices and guidelines, such as those outlined by the National Human Genome Research Institute.

#Data #visualization is an important skill for #bioinformaticians. Consider learning tools and techniques, such as #ggplot2 in #R, to effectively communicate your results to others.

Many #bioinformatics jobs require a strong background in biology and/or computer science. Consider taking courses or gaining experience in these fields to enhance your career prospects.

Finally, don't be afraid to ask for help and advice from more experienced #bioinformaticians. Join online #communities and forums, such as our own, to connect with others and learn from their experiences.

We hope these tips have been helpful for getting started in bioinformatics. Join our #community to connect with other professionals and continue learning and growing in the field. Happy learning!