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!

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More from @CloudGenomics

Dec 4
🧵#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.
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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:
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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
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Dec 2
🧬🧵here is a Twitter thread explaining #Bioinformatics in simple terms:🧬🧵
#Bioinformatics is the field that uses computational tools and methods to analyze and interpret #biological #data.
This can include analyzing #DNA and #protein #sequences, predicting the structure and function of #molecules, and modeling biological systems.
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