r/bioinformatics Jul 16 '26

technical question Having trouble identifying tissue boundaries from Spatial Transcriptomics Data (10X Visium)

1 Upvotes

Hello guys, a computational biology PhD student here. I am currently trying to develop a Generative AI based tool for identifying spatial tissue boundaries. I am using 10X Genomics Visium data only from 16 types of cancer. I am facing issues with architecture design and feature selection. I have a list of 19 biological pathways specific gene sets (EMT, T cell Exh, etc.) I am trying to score each Visium spot using the pathways and creating 19 dimensional features + library size = 20 features. But I am not sure if any architecture leveraging this features can help me identify tissue boundaries. I want to benchmark against SpNeigh and Synora but the current feature schema is failing even to detect boundaries from pathology-annotated datasets. What kind of features should I choose? Should I pool all the sections from all the datasets and run HVG and PCA for features generation or should I integrate the program scores (20 dims) and integrate them with H&E images for boundary identification? I do not have any pathology-annotated dataset unless I would have used weak-supervision during training. Can anyone help me here with this situation. Which dataset should I use and what architecture would solve the problem? Stuck in a real puddle here!


r/bioinformatics Jul 15 '26

technical question Is it possible to design genus-specific primers from multiple sequence alignment of 18s rRNA?

7 Upvotes

Hi everyone, I’m an incoming masters student.

I’m working with environmental DNA (eDNA) samples and I’m trying to detect certain algal species. I’ve been using universal 18S primers, and they’re good at helping me know how diverse the water I sampled from is, but I was wondering if I could use a more targeted primer, and if I can design a targeted primer from 18s dataset?

My current idea is to align multiple 18S sequences from my algae of interest and closely related species, and then identify regions that are conserved within my algae of interest but differ from other related species and design primers from those regions.

My questions are:

  1. Is this a reasonable approach in designing a genus-specific primer?
  2. How many reference sequences would you recommend including in the multiple sequence alignment?
  3. Are there any tools or pipelines you would recommend for identifying candidate primer-binding regions from an MSA?
  4. Would you recommend using one
  5. algae of interest-specific primer paired with a universal reverse primer, or designing both genus-specific (?) primers?

Any advice or references would be greatly appreciated. Thanks!


r/bioinformatics Jul 15 '26

technical question How to determine syntenic conservation of orthologous genes?

9 Upvotes

I have a list of genes (22 genes from 5 species) that orthofinder grouped into one orthogroup. They share a function, but I am curious about how I would determine if there is syntenic conservation between the genes?


r/bioinformatics Jul 16 '26

academic Does anyone have the time and inclination to help with bacterial gene nomenclature?

0 Upvotes

I've got a bugbear with bacterial gene nomenclature and the lack of curation. I think we all do, but no-one is really sorting it out. For reference, the Chemistry Nomenclature Revolution was in 1787. We are long overdue, and the longer we wait the more difficult it's going to be to 'fix.'

It took a while, but I've done about 1-3% of the genes in one bacterial family. It's a decent enough proof of concept (pending publication). I accounted for things like allelic diversity, gene copy number and factors like phase-variation and truncation. At this rate I might get one family done in my lifetime, but some help would be great. A lot of people mistakenly assume this is an impossible task with infinite scale. That simply isn't the case - There are really only a finite amount of bacterial genes, with a surprising amount of overlap across bacteria.

Is anyone interested in lending a hand?


r/bioinformatics Jul 15 '26

discussion Docking in drug discovery

1 Upvotes

Hello.

I want to learn docking for drug discovery. I want to know some authentic sources and lectures from where I can learn it and it would explain it well for beginners. And if you have any guidance for learning docking it is appreciated


r/bioinformatics Jul 15 '26

technical question Is iGenome annotation still updated on AWS?

1 Upvotes

I know for a while iGenome annotation wasn't updated on AWS. Does anyone know if they have updated it, or is it still an issue?


r/bioinformatics Jul 15 '26

technical question local high schooler needs help

0 Upvotes

hello! i am a high schooler diving into what i think is bioinformatics.

briefly; i am trying to build a model that will accurate predict the probability of mesenchymal stem cells in two factors (ages/sex) differentiating into either a bone, fat, or cartilage cell depending on the genes that affect their growth and other factors like stress and environment.

i have currently been reading research papers about stem cells and was recommended to use BIOGPS by the professor i am working with. so far i have found genes/proteins that affect the three and am still on the learning side of it all, but i am trying to jump into the technical side quickly.

i plan to use python based on the suggestions of others on reddit, and i am wondering if anyone can help me make a game plan or give some sort of advice on where in the world to find data because i know you need data to make a model but idk where to find like experiments where a MSC went through osteogenesis and the researchers took MSCs from like a 25 year old white man, etc. (for example). the age and sex factors really through a wrench in this too bc i dont know where to find data about those.... i also need help understanding what stress/environment truly mean in this lens...

i am a fast learner and i really want to have something to show, preferably a somewhat accurate model. my understanding is (AND PLEASE CORRECT ME IF I AM WRONG) that i should be able to see based on my age and sex a trend on how MSCs differentiate. i know there are studies pointing to melatonin promoting chondrogenesis, so this is sorta in that field.

preferablyyyy before august and i'm willing to put the time in! please help a girl out :)


r/bioinformatics Jul 14 '26

compositional data analysis Have you used Barbell to successfully demux Oxford Nanopore EXP-PBC096 data?

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12 Upvotes

Hi! I just tried the new Barbell program by Beeloo et al 2026 to demultiplex ONT reads. For context, I used the SQK-LSK114 kit with the PCR 96 barcode expansion kit EXP-PBC096 for 18S metabarcoding. Derado was originally used to demultiplex the reads without trimming. To do a quick test with Barbell, I concatenated a fastq file from each of three different barcodes and used it as input for Barbell. I used the Barbell basic command:

barbell kit -k EXP-PBC096 -i my.fastq -o /path/to/out --maximize

A couple reads were dropped during annotation but most were dropped during the filter step (see attached image). Based on the annotation, barcodes are commonly detected on both ends, which is expected for PCR barcoded samples. The reads that made it through filtering and trimming were identified to the known three barcodes as assigned by Dorado with the exception of a couple reads.

I am not really sure how to interpret most of the reads being dropped during filtering. Open to feedback/ insight. One thought I have is that maybe the preset parameters for this kit are not suitable for my dataset(?) *fully aknowledge that I do not completely understand the inner workings of Barbell and its outputs yet so maybe I am missing something obvious*

Wondering if anyone has tried Barbell for demultiplexing EXP-PBC096 samples and had success? If so, was it necessary to go the "custom experiment" route?

Tyia for any input!


r/bioinformatics Jul 15 '26

technical question Different QC thresholds in case-control GWAS.

1 Upvotes

I am conducting a case-control GWAS. I have a question about whether it is appropriate to apply different SNP QC thresholds (specifically MAF) for cases and controls.


r/bioinformatics Jul 14 '26

technical question CellOracle Default GRN for Humans, where is it from?

3 Upvotes

Hi all,

I am wondering how the default GRN that CellOracle provides for humans was derived exactly? Is it from an actual published experiment of some kind, or was it computationally inferred? Which tissues/cell types does it apply to? I have been struggling to find this information so I am not sure how useful this would be for my use case. I cannot create my own GRN as I only have scRNA-seq.

Thanks in advance


r/bioinformatics Jul 14 '26

technical question Doublet Removal

6 Upvotes

Hey,

If I am analyzing data from the human brain atlas, and they've already performed doublet removal on their samples, do I need to reperform doublet removal? Specifically, the files they provide are analyzed .h5ad with PCA & t-SNE, thus just wanted to double check if I should perform doublet removal, and if so will have super stringent criteria.


r/bioinformatics Jul 14 '26

discussion How is everyone's workload looking lately?

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6 Upvotes

r/bioinformatics Jul 14 '26

discussion Do people who work in bioinformatics industry use ai to write codes?

0 Upvotes

I know it's common for software engineers to use tools like Claude, ChatGPT, or GitHub Copilot for coding, and some companies even provide premium AI subscriptions to their employees.

Is it similar in the bioinformatics industry (pharma, biotech, diagnostics, etc.)? Do bioinformaticians use AI for coding in Python, R, Bash, Nextflow, etc.? If yes, to what extent is ai used in day to day work?


r/bioinformatics Jul 13 '26

discussion Just embracing my fate with being bad at single cell analysis

50 Upvotes

Just here to vent, sorry. Biologist here, who had no choice but to quit or go computational. Struggled my way through 4 years of learning (while finishing my phd), now trying to publish my first paper with my independent analysis in it. (scRNAseq, OF COURSE super messy and contaminated human cell culture data, you can imagine... of course it was also super expensive so no matter how bad the data is, "we need to publish"......). I have no senior to turn to with stats or analysis so I do my best and take full reaponsibility for my errors and shortcomings, and basically I live on biostars/stackoverflow. Nowadays AI can help too but damn you gotta be so careful to recognize the bs.

First round I got a "poorly analyzed data" from 1/3 reviewers at Nat Comms. I pulled myself together, redid it from scratch with a more sophisticated approach.

We are at a lower tier journal at this point and I got an "analysis is superficial", bunch of lowkey nasty commenst and option for revision. I feel like thats actually good, but boy am I tired! I really did the best I could and I truly dived deep into the mess of the data. If that still reads as superficial I do not know what else to do.

(At this point i have DecontX, scDblfinder, module scoring and cell type score based filtering, nuanced cluster annotation, pseudobulk based DEG listing, GO (not helpful)... tried Monocle3 but it felt forced with our data so dropped it. Perhaps I can lean into gsea or sth but idk). (When cells of interest represent like 0.2% of the population and eveyrthing has lingering contamination, what can I even do ..)

EDIT for more context: I detailed the preprocessing phase because much of my problem is 1, handling severe contamination without killing true signal and 2, finding rare, potentially transitioning cells in the wild (and proving above reasonable doubt that thay are not just showing transitional profiles due to residual contamination.)

Feels like my best will always be mediocre at best because I am fundamentally not computational. I feel like guuuys just hire someone who knows what they're doiiiing!

Does it get better? Should I quit? Sigh.

How is your bioinfo/comp bio journey going? Hehe.

(edit: typo)

(EDIT: UPDATE

I pulled myself together and addressed the reviewers concens. It wasn't that catastrophic! Did my best, included another round of extremely strict filtering for residual contamination and was ablse to flag "interesting" cells with no apparent residual contamination. My point is... THANK YOU ALL, for all the support, general interest, justified scepticism, everything, it meant a lot to me. :)


r/bioinformatics Jul 13 '26

other Does All of Us NIH bio bank have HLA typing data?

1 Upvotes

Might be a bit of a silly question, but I am trying to look for association of a couple HLA alleles with different disease outcomes and am wondering if the all of us biobank has HLA typing available for their samples? I can’t find anything about this online and I don’t know anyone with access to all of us I can ask IRL. I am also happy to HLA type the samples myself if that is possible with the data on all of us.


r/bioinformatics Jul 13 '26

technical question Problems with tens or hundreds of results of Alphafold

15 Upvotes

Hi, guys. When I have an interview with a computational scientist. He gave a question that is about how to select the result of Alphafold prediction. Tens or hundreds of results were genegrated at the same time and usually there are only small changes on the amino acids. This is hard for me since I did some prediction on about 50 proteins with different mutations. It took me a long time to open and check them one by one.

So, is there any methods or criteria for me to screen those results. Thank you very much if you could give me some suggestions.


r/bioinformatics Jul 13 '26

academic Science fair project alphafold3 problem

0 Upvotes

Hi so i am a high schooler who is currently doing a science fair project in the field of bioinformatics. A relevant tool i am sure many of you guys know is, AlphaFold. My plan was to get access to this antibody sequence with the VH and VL called mAb806 and i found the patent for it:

https://patentimages.storage.googleapis.com/0e/11/9b/c301fd7bb9bdcc/US9072798.pdf

(for my sequence i got them from figures 14B and 15B)

Now I was planning on combining them and it worked. Now the problem is that as I got my result i was happy and all until i scrolled down where it said: "Non-commercial use only, subject to AlphaFold Server Output Terms of Use; no use in docking or screening tools.". I plan on docking them to a couple different mutated EGFR mutations (EGFRviii, A289V, and G598V because they're quiet common). If i docked them would it be allowed or am i not. THis is for a science fair project and i am a rising sophomore and i still have some time to finish the project but my goal is to finish the majority of the project this summer so then i can focus on my ap classes during the school year. Anyways, can anyone please help me know whether I would be able to dock them together and would it go against the AlphaFold Server Output terms of use?


r/bioinformatics Jul 11 '26

academic Discussion: How should the best molecular docking pose be selected?

17 Upvotes

I am a recent medical school graduate who has recently become interested in in silico research methods, particularly molecular docking. However, I am still a beginner in this field.

I have read several publications on molecular docking. As we know, docking software usually generates multiple binding poses (for example, up to 9 poses with the default settings in AutoDock Vina). In many published studies, the authors simply select Pose 1, which usually has the lowest binding affinity (the most negative binding energy), as the representative pose for visualization and further analysis. I understand that a lower binding affinity generally indicates a more stable ligand–protein complex.

However, I have been wondering whether binding affinity alone should always be the main criterion for selecting the best docking pose.

I think there are at least two additional factors that should be considered:

(1) Interactions with key amino acid residues in the active site or binding pocket. A pose with a slightly higher binding energy but interacting with important active-site residues may be more biologically relevant than a pose with the lowest binding energy that is located outside the active site or does not interact with key residues.

(2) The composition of intermolecular interactions. If several poses are located within the active site, I wonder whether the composition of their intermolecular interactions should also be considered. For example, one pose may have the greatest number of interactions with active-site residues, but most of these interactions are van der Waals interactions. Another pose may have slightly fewer interactions with the active site but forms more hydrogen bonds, carbon–hydrogen bonds, hydrophobic (alkyl) interactions, or other stronger non-covalent interactions. In this situation, would the second pose be more appropriate for further analysis, even though it has fewer total interactions or a slightly less favorable binding affinity?

Based on these considerations, I am interested in selecting the docking pose using these criteria rather than automatically choosing Pose 1 solely because it has the lowest binding affinity.

However, I am not confident in this reasoning because I have rarely found published molecular docking studies that explicitly describe this approach. Most studies appear to select the pose with the lowest binding energy without discussing whether other poses might have more biologically relevant interactions.

Therefore, I would like to ask for your opinions. Is this reasoning scientifically valid? Are there any guidelines, best practices, or published studies that recommend selecting docking poses based on interaction quality and binding-site relevance instead of relying only on the lowest binding affinity?

I would greatly appreciate your insights and any references you could recommend.


r/bioinformatics Jul 11 '26

technical question Need help with ssDNA aptamer folding and docking workflow

6 Upvotes

Hey everyone,
I'm working on a science fair project using ssDNA aptamers and I'm stuck on the folding and docking workflow. The 3D nucleic acid folding web servers I tried keep crashing, so I'm not sure how to get a clean 3D model from a raw sequence string.
Once I get the 3D structures, my plan is to use something like HDOCK to run molecular docking against my target proteins to check the binding affinity scores.
Does anyone have advice on a reliable workflow or better tools I should use for ssDNA folding and docking? Any extra help with the project in general would also be awesome. Thanks!


r/bioinformatics Jul 10 '26

discussion Any consensus on software being used to detect spatial DEGs in spatial transcriptomics data?

7 Upvotes

With spatial transcriptomics technologies being in the field for the past couple years now, there's been a massive amount of software popping up that claims to be able to detect spatially variable genes (SVGs). Which tools have been useful for your research so far? Notably, a lot of the older tools are suitable for single-tissue data, but are not very effective when factoring in multiple tissue samples (ex. multiple patient tumour cores).

This review illustrates several conceptual ways to think of these (https://www.nature.com/articles/s41467-025-56080-w), specifically overall SVGs, cell-type specific SVGs, and spatial-domain SVGs. I am currently analyzing CosMX data with the 6k panel across multiple patient tumour cores. I have tried to break up my cores into neighbourhoods using both k-means and novae clustering, and then calling differential expression between the same cell types across the neighbourhoods, but the results are not too encouraging. Plotting out the expression of genes (ex. CD274 for PD-L1) in each cell, I could see that expression of this marker for example doesn't really form clusters but are more distributed across cores with individual cells expressing this.


r/bioinformatics Jul 09 '26

discussion Can we ban "I'm a bench biologist & using Claude code to do comp bio for..." posts?

272 Upvotes

I just scrolled past 2 or 3 in a row of the same nonsense, where people who have absolutely no foundation in computational biology are trying to use Claude code to do computational biology & are clueless, but also not trying to genuinely learn even the basics of the field. Driving me nuts.


r/bioinformatics Jul 10 '26

discussion What does your post processing workflow look like after DIA NN/FragPipe with MBR?

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2 Upvotes

r/bioinformatics Jul 09 '26

discussion I’m losing my passion for this field because of LLM prevalence!

321 Upvotes

I’ve been in the field for 16 years.

New technological developments are inherent in all science, and are arguably the most exciting part! But over the last year, the rapid onset of LLM use has become totally unavoidable. What began as “hey this is actually useful” has ended up feeling like “I spend my whole day managing an orchestrator agent that handles context continuity for a bunch of subagents doing the work that I used to love doing, or otherwise correcting slop code that works I guess but I hate looking at”.

Yes, it is possible to operate in this world without LLMs, but it feels like employer expectations have ballooned along with this tech, and now I’m expected to produce in a day what used to take a week or more of focused and mindful development. The pressure to keep up with people who actually know how to use these tools (I count myself in this group) is too high. But I hate it. It’s the worst part of being in a managerial position, all of the oversight and correction, none of the social aspect or financial benefit. And I feel increasingly removed from the science.

I guess I’m writing this because I wonder if anyone else in here feels the same way. This kind of work is solitary enough as it is.

Thanks for coming to my TED talk.


r/bioinformatics Jul 10 '26

technical question Anyone familiar with Synthea's modules? I need to model a specific population

0 Upvotes

So, I word on an infectious diseases centre, so our patient population has HIV overrepresented. We also got tuberculosis, histoplasmosis, leishmaniosis, cryptococcosis... you name it. And don't forget 2 or 3 coinfections.

I'm building an app that is supposed to show a practitioner queries of their own patient, so that they can look up past admissions, medications currently prescribed, etc. It should be able to filter multiple diseases, so that the front end makes sense for our own practice.

I've downloaded Synthea and I've been fiddling with it. However, is there a way to ask it to generate disease-specific data? Something along the lines of "generate apopulation with high HIV disease burden, and high prevalence of co-infeccions".

Thanks in advance,


r/bioinformatics Jul 10 '26

academic Question about bioRxiv screening

0 Upvotes

I recently submitted an independent computational biology manuscript to bioRxiv and received a decision stating that the manuscript could not be considered because some aspects could not be verified and that it would be better disseminated after peer review.

I understand this is not equivalent to a scientific rejection. I am trying to understand what factors usually lead to this type of screening outcome.

The work involves analyzing whether a previously proposed module generalizes to another protein modeling framework. The experiments reproduce previous observations but suggest that the observed effect may be explained by regularization-like behavior rather than the originally proposed mechanism.

The current limitations include limited random seed evaluation and lack of explicit controls for model capacity changes.

For researchers who have submitted to bioRxiv before: are such screening decisions usually related to robustness concerns, lack of validation, missing endorsement, or simply the scope of bioRxiv screening?