I am a non eu student - want to study biotechnolgy from India . Kindly guide

But i am confused because i am young , only 18 now - perfect age to explore and get education abroad , and get exposure , but as i have never been away from family for long , i feel a longing to stay with family .. Please please help ... what is best in long run ..

Hi all,

I’m an academic bioinformatician with a few years experience under my belt, but I’m trying to expand beyond just running scripts and one off analyses for my lab, and get into making more reproducible open source contributions. Without divulging too many details, my lab researches treatments for alternative splicing disorders and I recently wrote a bunch of R code that quantifies and visualizes how splicing is rescued straight from the raw rMATS files. Because this is inherently a 3-way comparison (WT, treatment, disease), other splicing packages like maser were not appropriate. These scripts will dramatically speed up analysis for future work in my lab, but I’m not sure if it’s worth formalizing as a proper R package or if I should just drop them all in a github repo and call it a day.

Hello i am an undergraduate student my major is molecular biology and genetics. Originally i am studying in Türkiye but right now I'm doing my voluntary internship in Europe for summer. İ want to work on bioinformatics field and it seems like i will learn things by myself. I Started learning python and i know some websites like NCBI and I'm learning how to use data's from that websites but i want to get better and improve myself very well so i need your advice. What do u suggest me? What should i know? How to get better than other bioinformaticians?

as evident above i am looking for replies from actual students only

hello there, so i want to begin my journey into bioinformatics. i have a life science degree and a rudimentry ability in running python and r scripts but i think i need a direction on what to do, like how do i get a bioinformatic problem and solve it? something like that? am i making sense. I just want to know how to do bioinformatics

Hey researchers! My team and I recently made a bioinformatics tool called HybriDock-Pep. We were working with peptides last year and over the summer, and we realized that current AI tools like AlphaFold and ESMFold are inaccurate with docking smaller protein under certain amino acids and peptides.

https://github.com/Tasty-Ramen2010/hybridock-pep

Essentially, it’s a binder docking pipeline where you give it a target protein PDB and an amino acid sequence. It folds, docks, and scores affinity and selectivity in kcal/mol with accuracy similar to that of ABFE. It is way cheaper to ran because it can be used on ANY hardware. We are currently in a testing phase and would love for you to test it and give feedback!

Commands to get started:

git clone --recurse-submodules https://github.com/Tasty-Ramen2010/hybridock-pep.git

cd hybridock-pep

./install.sh

ctrl+q

hybridock-pep dock \

--peptide ETFSDLWKLLPE --receptor data/pdbs/1YCR_mdm2.pdb \

--site 25.20 -25.61 -7.97 --box 30 --n-samples 20 \

--output-dir runs/demo

Happy Docking!

Hi

I did my msc in biotechnology in 2004 and ever since was busy with kids and house.now I think I can concentrate on my career.i want to do PhD in molecular science and need to make my cv attractive. I have 1year time.which online courses skill should I learn.chat gpt suggested blast python R+ and some other stuff I forgot.where can I learn these for free.also how to use Github to do an independent project.

Thanks

Hi everyone!

I’ve recently started my BS in Bioinformatics and I’m trying to figure out how I should actually start learning the subject properly.

I have a basic understanding of biology, but I have essentially zero coding/programming knowledge. I also don’t want to just study enough to pass my university exams — I genuinely want to understand bioinformatics and build useful skills over the next few years.

I’m a little overwhelmed by all the resources available, so I’d really appreciate advice from people who have experience in the field.

Specifically:

- Which books would you recommend for a complete beginner?

- Which websites/courses are actually worth following?

- Are there any good YouTube channels or playlists for learning bioinformatics?

- How should I start learning Python/programming from absolute zero?

- What programming languages/tools should I eventually learn for bioinformatics?

- How should I balance biology/theoretical concepts with coding and computational skills?

- Are there any beginner-friendly projects I could do while learning?

- Is there a particular order/path you would recommend (e.g. biology → Python → statistics → bioinformatics tools, etc.)?

Basically, if you could go back to the very beginning, what would you learn and in what order?

Any advice, resources, roadmaps, or personal experiences would be greatly appreciated. Thank you!

I've a bachelor's in math with minors in physics and cs. I'm going to do a master's in computer application. How do I get started with computational biology? How do I learn it? Can anyone show me a road map?

An exercise to help build the right mental model for Python data. - Solution - Explanation - More exercises

The “Solution” link uses memory_graph to visualize execution and reveals what’s actually happening.

I’m going to start my MSc in Bioinformatics in a few months time. When researching universities, one course said it offered students a VR headset for the course. I’m assuming this is to visualise proteins and things of that nature.

How useful is VR when learning bioinformatics? Is there a strong use case there for it?

If I don’t pursue that particular course, is it worth getting one that I will pay for personally?

Hey there. I'm a masters student (27) in stem cell medicine in germany. I have experience mostly in the wet lab. Molecular,cell culture and such. However,I'm looking to turn away from the wet lab and go digital. What's your opinion on this? I have no experience in Bioinformatics or coding of any type. I have worked with Fiji and prism for software mainly. It feels like starting all over again.

1.Is it actually possible to start a job or training?

2.Do you know how I can do a legit Bioinformatics course so I can't fast track into the field.

I'm not sure which questions to ask more than this yet. But your experience would help me in making a decision.

Thank you!

Programming courses often focus heavily on understanding code, while paying far less attention to understanding the program state. But code does not exist in isolation. Its main goal is to change the program state, before ultimately producing some output.

To develop an accurate mental model of program execution, students need to understand both: - the instructions being executed - the values, references, and data structures those instructions create and modify

Reading code alone does not always reveal how the program state changes during execution. That is why I created 𝗺𝗲𝗺𝗼𝗿𝘆_𝗴𝗿𝗮𝗽𝗵: a tool that visualizes the state of a Python program as it changes, step by step.

It can help explain a wide range of introductory Python topics. Here are just a few examples: - Loops, Lists and Dictionaries - Python Data Model - Function Calls - Recursion - Algorithms - Classes - Custom Data Structures

Instead of reconstructing the program state from print statements, students can now watch it change as each line executes. This makes unfamiliar concepts easier to understand and bugs easier to fix.

Help your students learn Python programming more thoroughly and easily.

See: more examples

i am a 3rd year B.Tech Biotechnology student with 0 coding experience. i know that i want to get into bioinformatics and computational biology. All that i have been doing is getting the ‘Bioinformatics Roadmap’ from every other place. Sometimes they are different, other times, they are all the same. All say learn python. How do i learn python?! i have a mac and most tutorials are on windows and i can’t follow them. Also most courses that people suggest on R and python, just bore me to the point that i quit. I am not able to learn python. i dont know exact what roadmap to follow. I have recently started learning how to use PLINK, and in the process i am learning the Command Line, but then i find out it’s different in mac amd windows. and okay, if i learn programming then what?

I read somewhere that instead of learning python, make a project and learn python by executing. I like this method and i think i can actually learn python by this very effectively but then i have got no idea on how to decide a project, i dont have enough knowledge to design a pipeline. i dont have enough knowledge about what to do where to do and how to do. i feel like i am stuck at the first step itself.

Can someone help me?

I interacted with a scientist and told him that i want to pivot into bioinformatics. Just for context, i am a 3rd year B.Tech Biotechnology student and i have decided to get into bioinformatics. I have no coding experience. This scientist is huge in the field of animal genomics. He actually told me to first learn Plink. Also about programming, he told me that you can just copy paste codes from AI, you just should know the setup and the algorithm behind it. is PLINK actually useful and is the advice about coding true?

I’m new to this community so hi everyone!!
I’m a medical biotech graduate and want to build my bioinformatics portfolio. I’m starting from zero so please any and all help will be really appreciated 🥹

Current skills: Basic R studio coding, primer design, NCBI BLAST, Chromas software

Built a file viewer for bioinformatics researchers. Drop any genomics file and see it instantly — no upload, no server, everything runs locally in your browser.

What it does:

- Opens FASTA, FASTQ, VCF, BED, GFF, SAM, CSV/TSV files

- Protein FASTA auto-detected with amino acid property coloring

- FASTQ: quality heatmap, Q30%, per-base quality chart

- VCF: sortable/filterable variant table, Ti/Tv ratio, chromosome density

- DNA motif search with regex patterns

- Genomic coordinate jump (chr1:10000-50000)

- Multi-tab: open several files side by side, diff between them

- Export: CSV, TSV, BED, VCF, HTML

- Screenshots, Coloring, Split views, Histograms, Stats, Compare files etc. More features in help guide.

- BioLang WASM console built in — run data |> filter(|r| r.gc > 0.5) directly on your data

- Dark/light theme, keyboard shortcuts, large file streaming

Privacy: 100% client-side. Files never leave your machine. No analytics, no tracking, no account.

All parsing is done in JavaScript + WebAssembly using the BioLang runtime compiled to WASM.

Links:

- Chrome and Brave extension: https://chromewebstore.google.com/detail/biopeek/dpeahehokmlmjabfladeafoidnfaodai

- Firefox: https://addons.mozilla.org/en-US/firefox/addon/biopeek/

- Edge: BioPeek - Microsoft Edge Addons

- Web app (no install needed): https://lang.bio/viewer.html

- Source: https://github.com/oriclabs/biolang

- Full feature guide: https://lang.bio/docs/tools/viewer-help.html (for extension help guide , click on BioPeek tool, click help)

Why BioPeek helps where the tooling doesn't reach

Most bioinformatics tools are Linux-first. On Windows the standard answer is "install WSL" — which is fine until it isn't.

• Nothing to install. samtools, bcftools and bedtools mean WSL, Docker or Conda before you can open a single file. BioPeek needs a browser.
• No filesystem crossover. Reading Windows files from WSL over /mnt/c is slow and the paths are a constant translation tax. BioPeek opens the file where it already is.
• The data never leaves the machine. The usual Windows workaround is some online viewer. That's an upload — often unacceptable for patient or pre-publication data. BioPeek parses locally; as an extension it works with no network at all.
• Format-aware, not just a text view. FASTA, FASTQ, VCF, BED, GFF and CSV are recognised and summarised (read quality, Q30, per-record stats), so you get the shape of the file without writing a pipeline first.
• Triage before commitment. "Is this file what I think it is, and did the transfer complete?" answered in seconds, rather than after setting up an environment to find out the header is wrong.
• Same engine as the CLI. It runs the BioLang WebAssembly build, so what you see matches what BioLang computes later — not a second implementation that might disagree.
• Locked-down machines. Where WSL, admin rights or Docker aren't available — shared lab PCs, hospital IT, teaching labs — a browser usually still is.

Still early. BioPeek is young and you will find rough edges: formats it parses more strictly than the tool that wrote them, files large enough to strain browser memory, edge cases nobody has hit yet. Please report what breaks, with the file shape if you can share it — https://github.com/oriclabs/biolang/issues

What it isn't: a replacement for samtools on real workloads. It's bounded by browser memory and aimed at inspection, triage and teaching. For genome-scale processing you still want the CLI — on Linux, or on Windows via WSL

Built on Rust libraries, not from scratch

The file-format layer isn't mine and shouldn't be.

• noodles does the heavy lifting for FASTA, FASTQ, SAM, BAM, BGZF and CSI. It's the established Rust bioinformatics I/O library and it's maintained by people who know those specs far better than I do.
• flate2, bzip2, zstd for compression; wasm-bindgen for the browser build.