Code Monkey home page Code Monkey logo

Haroon Kalam's Projects

kb_python icon kb_python

A wrapper for the kallisto | bustools workflow for single-cell RNA-seq pre-processing

keras icon keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

labs icon labs

Scripts for HarvardX courses: PH525x

maaper icon maaper

Model-based analysis of APA using 3' end-linked reads

maestro icon maestro

Single-cell Transcriptome and Regulome Analysis Pipeline

mast icon mast

Tools and methods for analysis of single cell assay data in R

metage2metabo icon metage2metabo

From annotated genomes to metabolic screening in large scale microbiotas

metagem icon metagem

An easy-to-use workflow for generating context specific genome-scale metabolic models and predicting metabolic interactions within microbial communities directly from metagenomic data

microbecensus icon microbecensus

MicrobeCensus estimates the average genome size of microbial communities from metagenomic data

minimap2 icon minimap2

A versatile pairwise aligner for genomic and spliced nucleotide sequences

miso icon miso

MISO: Mixture of Isoforms model for RNA-Seq isoform quantitation

mistyr icon mistyr

Multiview Intercellular SpaTial modeling framework

modelselection icon modelselection

Tutorial on model assessment, model selection and inference after model selection

mothur icon mothur

Welcome to the mothur project, initiated by Dr. Patrick Schloss and his software development team in the Department of Microbiology & Immunology at The University of Michigan. This project seeks to develop a single piece of open-source, expandable software to fill the bioinformatics needs of the microbial ecology community.

mtbseq_source icon mtbseq_source

MTBseq is an automated pipeline for mapping, variant calling and detection of resistance mediating and phylogenetic variants from illumina whole genome sequence data of Mycobacterium tuberculosis complex isolates.

multiqc icon multiqc

Aggregate results from bioinformatics analyses across many samples into a single report.

mxnet icon mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, and more

mykrobe icon mykrobe

Antibiotic resistance prediction in minutes

nanogpt icon nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nichenetr icon nichenetr

NicheNet: predict active ligand-target links between interacting cells

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.