Umar Ahmad Profile picture
Apr 23 9 tweets 6 min read Twitter logo Read on Twitter
1/ If you're new to #bioinformatics and looking to start learning, there are a ton of great resources out there to help you get started. Here are some sites, #Github repos, and books to check out:
2/ First up, the website Bioinformatics.org has a ton of resources for learning bioinformatics, including tutorials, forums, and #software tools. Check it out here: bioinformatics.org
3/ Next, the Github repository Awesome Bioinformatics is a great place to find curated lists of resources, including #tutorials, #courses, and #software tools. Check it out here: github.com/danielecook/Aw…
4/ One of the best books for beginners learning bioinformatics is "Bioinformatics Data Skills" by @vsbuffalo. This book covers everything from the basics of #programming to #analysing and #visualising biological datasets. Check it out here: oreilly.com/library/view/b…
5/ Another great book for beginners is "Bioinformatics Algorithms: An Active Learning Approach" by @PhillipCompeau . This book takes a problem-solving approach to bioinformatics and includes interactive exercises to help you learn. Check it out here: bioinformaticsalgorithms.org
6/ For a more in-depth introduction to bioinformatics, the book "Biological Sequence Analysis" by Richard Durbin, et al. is a great resource. It covers a wide range of topics such as sequence alignment, gene finding, and phylogenetics. Check it out here: cambridge.org/core/books/bio…
7/ Finally, the website @coursera has a ton of online courses on bioinformatics, many of which are free to audit. Check out their bioinformatics courses here: coursera.org/courses?query=…
8/ Learning #bioinformatics can be challenging, but with these resources, you'll be well on your way to mastering this exciting field. Happy learning!
n/ Follow me for more updates on #bioinformatics learning resources.

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More from @babasaraki1

Apr 23
1/ Are you a bioinformatics researcher looking for powerful tools to analyse your data? Check out @Bioconductor ! Here are some of my favorite packages for #bioinformatics analyses. Image
2/ First up: #DESeq2 by @mikelove. This package provides a method for differential gene expression analysis of RNA-seq data. It's widely used and highly cited in the field, and it's perfect for identifying genes that are differentially expressed between samples.
3/ Next, I recommend #edgeR. Like DESeq2, edgeR is a package for differential gene expression analysis of RNA-seq data. It's particularly useful for smaller sample sizes and can detect differential expression with greater sensitivity.
Read 10 tweets
Apr 23
1/ If you're interested in learning #bioinformatics as a #novice, you're in the right place! Bioinformatics is a field that combines biology, computer science, and statistics to analyse large scale biological data. Here are some resources to get you started:-
2/ First, you'll need to learn some basic biology. #KhanAcademy has a comprehensive series of videos on biology that can help you understand the fundamentals. Check it out here: khanacademy.org/science/biology
3/ Next, you'll need to learn some basic #programming skills. #Codecademy has a great course on #Python, which is a popular programming language in bioinformatics. Check it out here: codecademy.com/learn/learn-py…
Read 7 tweets

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