Git Product home page Git Product logo

Comments (3)

davek44 avatar davek44 commented on August 19, 2024

Sorry this is overtuned for my setup; I keep an environmental variable pointing to reference genome files. You should be able to dodge this by providing the genome FASTA file with -f. If it's still breaking on the default, just change it to something benign.

I may be overinterpreting your command, but you'll want to be very thoughtful using this program for CLIP-seq modeling. If you just provide large genome blocks like I do for DNase, ATAC, ChIP, and CAGE, you'll be asking the model to learn gene transcript definitions as well as the RNA binding protein sites. I expect that'll be too hard. That's why I focused on CAGE rather than RNA-seq for gene expression. You can provide smaller sequences and make the program behave more like Basset, but I haven't tested that thoroughly. I also haven't tested variable length sequences like you might want for RNA.

from basenji.

kiranvpaul avatar kiranvpaul commented on August 19, 2024

i have provided the fasta file using -f but still its breaking, I think i will change the default. Also i am actually looking for RBP binding sites from the CLIP data(as i dont have a CAGE data for this). So my plan was to preprocess the bam, train the sequences and predict motifs. Do you think this approach make sense??

from basenji.

davek44 avatar davek44 commented on August 19, 2024

It might work, but you'd likely fit much better models if it better understood the isoform structure of the genes. E.g. I would assemble the training set as RNA sequences annotated with the CLIP coverage or some transformation of it. But in that case, you have variable length sequences, and I don't think Basenji will work out of the box. Maybe you can choose a length that covers most genes and pad the shorter transcripts.

from basenji.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.