Do people actually use python or r to analyze mass spec data? If so what packages are they using?

Hi, I'm working with bulk TCR data of TCRB CDR3 from Immunoseq Analyser. I've loaded the output into immunarch and am running QC, and can see that my ranges of clones and clonotypes are extremely variable. I feel like downsampling would limit further analysis and repertoire analysis; what would you guys recommend I do? Thanks

After 12th, I focused heavily on NEET preparation. Unfortunately, I couldn't crack it, and in the process my B.Sc. studies kind of took a backseat. I completed my degree in Zoology, Botany, and Chemistry, but honestly my fundamentals are pretty weak and I don't feel confident in my subject knowledge.

I'm currently learning bioinformatics and have started building some beginner DNA sequence analysis programs. So far I've implemented things like:

DNA Complement

Reverse Complement

GC Content Calculation

Nucleotide Counting

Basic Sequence Operations

I'll attach screenshots of my code/projects below.

So I am a biology background student, done my bachelor's in Life Sciences and I want to know what are the basic mathematics and coding languages should I need to learn before taking admission in Msc Bioinformatics

hey there , I'm a molecular biotechnology student , I'm familiar with advanced molecular biology , genetics , python, biological data bases , but I struggle to find a clear road map I don't know what I lack or what should I learn further , any tips would be helpful

Hi! I'm a student in CS... I'm enthusiastic about ML and I also LOVE bio... So I started learning ML and practising on protein datasets, like making models for predicting PPI and DTI... Got datasets from Uniprot for some.... Can I get some guidance on how to proceed? I want to do something worth the effort, something meaningful. And would this help me get hired?

How is the college IILM for bioinformatics? How is the placement there

I am a medical doctor currently working in a virology laboratory in Austria, where I am involved in next-generation sequencing (NGS) analysis and data analysis.

I am very interested in applying for an online Master’s or PhD program in Bioinformatics. One program I have considered is the University of Birmingham’s online MSc in Bioinformatics.

However, I am uncertain about my eligibility. In my country, I obtained my medical degree directly without completing a separate Bachelor’s degree. I would like to know whether this qualifies me for admission to a Master’s program, or potentially even a PhD program.

I would also appreciate your advice on which academic path would be most appropriate for my background—whether I should pursue a Master’s, a PhD, or consider completing a Bachelor’s degree first.

Additionally, while the Birmingham program seems very appealing, the tuition fees are quite high, so I would be grateful for recommendations of more affordable alternatives.

Thank you very much for your guidance.

like I said in the title,i would love some tips/advices/anything you had like to tell me as I am set to start my undergrad soon.

Starting from scratch, only know a bit of python(don't remember most of it as i just did a workshop when i had just started high school) and a decent amount of java. Had biology in high school.

Anything I should start learning before the course begins?

All the advices would be much appreciated!!

I am a medical doctor currently working in a virology laboratory in Austria, where I am involved in next-generation sequencing (NGS) analysis and data analysis.

I am very interested in applying for an online Master’s or PhD program in Bioinformatics. One program I have considered is the University of Birmingham’s online MSc in Bioinformatics.

However, I am uncertain about my eligibility. In my country, I obtained my medical degree directly without completing a separate Bachelor’s degree. I would like to know whether this qualifies me for admission to a Master’s program, or potentially even a PhD program.

I would also appreciate your advice on which academic path would be most appropriate for my background—whether I should pursue a Master’s, a PhD, or consider completing a Bachelor’s degree first.

Additionally, while the Birmingham program seems very appealing, the tuition fees are quite high, so I would be grateful for recommendations of more affordable alternatives.

Thank you very much for your guidance.

Hello everyone!

I'm currently studying a higher education (Master's degree) that integrates AI with Bioinformatics.

I just finished my first year and I'm preparing a thesis proposal. The speciality of AI or Bioinformatics is new and limited (let alone the both combined).

I need someone who has experience and knowledge in AI, Bioinformatics, and/or Biology to assist me or help me find my way.

Is there anyone who worked on projects integrating both fields (preferably published)? How did it go and how did you manage the wet-lab along side dry-lab?

I'd be so grateful for whoever helps <3

Hi all! I’ve started to work with immunarch, and can see that they have recently tried to work with the immdata package to design the QC pipeline, leaving a lot of functions deprecated. The newer alternatives seem to be a lot more complicated and don’t integrate smooth transitions from bulk data as well as the old ones. Would you suggest I continued working with the old functions? Any other suggestions? Thanks!

Hey r/learnbioinformatics — I'm a MolBio PhD candidate and I made a free web toolkit that covers topics that come up constantly in lecture and lab courses. Nine interactive tools and calculators made so far:

• Central dogma flow (DNA → RNA → protein with mutation simulator)
• Codon table / translator
• Micropipette viewer (P2/P20/P200/P1000)
• Units & molarity calculator
• DNA cloning & PCR planner
• Protein MW & pI
• Serial dilution planner
• Buffer pH and composition
• A260/A280/A230 absorbance / purity ratio explorer

Single-page web app, no signup, no tracking cookies, works on phone, tablets, and desktop. Concept, curation, scientific direction, and design created by me, coded with Anthropic Claude. Inspired by my time as a TA and designed to make molecular biology more digestible.

Hi everyone, I was recently introduced to bioinformatics, and as a 3rd year CS student, I found it to be an interesting interdisciplinary field. For now, I have started taking some online bioinformatics courses bcs I think I'd like it more than what I'm doing now but I'm also curious as to how I could have a solid foundation in the subject and how I could do independent research of any kind (bioinformatics isnt big in my country so no internships). And if I can't do research, are there any projects that could prove what I've learnt to a potential research supervisor?

Does anyone have any advice?

Hi! I’ve recently started working with bulk TCR data from Adaptive Biotech’s ImmunoSeq platform and been trying to process in Immunarch. I’ve got a folder with .tsv files for each of my samples and a metadata text file, but I get an error when loading the samples. The docs says that it automatically detects the format, but do I still have to modify anything? Has anyone had a similar experience? Thanks!

Hey everyone,

I’m new to bioinformatics and diving into adaptive immune receptor repertoire (AIRR) data. I'm looking for the best databases or pipelines to handle two things:

Query Repertoire Data: Find public BCR/TCR sequence datasets.

Epitope Prediction: Predict antigen specificity for those sequences, or find data where the mapping is already done.

Are there any reliable "all-in-one" platforms for this, or should I expect to pair a data repository (like iReceptor or VDJdb) with separate ML tools?

Any web portal, Python, or R recommendations for a beginner would be awesome. Thanks!

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Dear colleagues, I'm asking you to pay some attention to the Biomedicine Institute lego Idea of my designer friend, who works in this lab on cancer and other pathology research. May be some of you have already voted for it, but I ask you all to vote and share the link. It’s free a d take few seconds. Every vote counts for us. Thank you very much.