@allydunham.bsky.social
36 followers 61 following 6 posts
Posts Media Videos Starter Packs
allydunham.bsky.social
Accompanied by a less polished nextflow pipeline to handle multiple samples and pre-processing - github.com/allydunham/d.... Configurably downsample, merge and trim reads before quantification plus FastQC, SeqKit Stats and a quanitification QC plot. Inspired by the github.com/cancerit/QUA....
GitHub - allydunham/dnacomb_pipeline: Versatile Nextflow pipeline processing sequence reads into count tables using DNAComb
Versatile Nextflow pipeline processing sequence reads into count tables using DNAComb - allydunham/dnacomb_pipeline
github.com
allydunham.bsky.social
I have more features planned to support my work, for instance multiple constructs in one library, combinations of sub-libraries and a region type expecting variants to a base sequence, but issues and pull-requests with other bugs and suggestions are very welcome too.
allydunham.bsky.social
Simulated tests and benchmarks and our datasets suggest the tool is generally accurate and robust as well as pretty quick. Feels like a state that could be useful more widely so a good time to share, although I do expect more bugs to come out with wider usage!
allydunham.bsky.social
Currently position in reads, flanking patterns and full alignment can be used to extract regions and extact matching, hamming distance and (bounded) Levenshtein used to compare to your library. This lets you nicely balance match accuracy with speed for your design.
allydunham.bsky.social
It takes in (paired) fastq/a files, a JSON expected read structure, an optional expected combinations TSV and a strategy for extracting and matching variable regions and outputs count tables against your library.
allydunham.bsky.social
We've been screening across many DNA construct structures with variable number/size of interesting regions - e.g. spacer, extension and barcode for prime editing. There wasn't a widely used tool to process these complex structured reads so I ended up developing github.com/allydunham/d....
GitHub - allydunham/dnacomb: CLI tool for flexibly parsing structured sequence reads into count tables and comparing them to expected libraries
CLI tool for flexibly parsing structured sequence reads into count tables and comparing them to expected libraries - allydunham/dnacomb
github.com
Reposted
nadavahituv.bsky.social
MPRAbase (mprabase.ucsf.edu) , a customized database for massively parallel reporter assays (MPRAs) to easily find and download MPRA data. Amazing work by Jingjing Zhao, Fotis Baltoumas, Georgios Pavlopoulos, @vagar.bsky.social, ilias Georgakopoulos-Soares & others.

genome.cshlp.org/content/earl...
MPRAbase a Massively Parallel Reporter Assay database
An international, peer-reviewed genome sciences journal featuring outstanding original research that offers novel insights into the biology of all organisms
genome.cshlp.org
Reposted
leopoldparts.bsky.social
We're hiring to expand on the work to understand the human genome by engineering it!
lnkd.in/da-gitNc
Reposted
leopoldparts.bsky.social
We are happy to share our enhancer scramble story, a strategy to create hundreds of stochastic deletions, inversions, and duplications within mammalian gene regulatory regions and associate these new architectures with gene expression levels 🧵
www.biorxiv.org/content/10.1...
Enhancer scrambling strategy
Reposted
leopoldparts.bsky.social
Does my mutation have the same impact as yours? Population genetics 🤠 🥸 🤓 🤡 meets single cell CRISPRi ⚡ ! www.biorxiv.org/content/10.1... Led by Claudia Feng, Oliver Stegle, Britta Velten, @sangerinstitute.bsky.social .
LinkedIn
This link will take you to a page that’s not on LinkedIn
lnkd.in