747 Open source projects that are alternatives of or similar to dropClust

Phage-Host Interaction Search Tool

A tool to identify, orient, trim and rescue full length cDNA reads

simuG: a general-purpose genome simulator

Java implementation for DBSCANSD, a trajectory clustering algorithm.

High-performance error correction for Illumina resequencing data

SSH distribution for erlang

Genome-wide imputation pipeline

High-availability and horizontal scalability for InfluxDB

A versatile sequenced read processor for nanopore direct RNA sequencing

A comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.

viGEN - A bioinformatics pipeline for the exploration of viral RNA in human NGS data

Compute N50/NG50 and auN/auNG

Python package and CLI for whole-genome duplication related analyses

Implementations of machine learning algorithm by Python 3

Population assignment analysis using R

Implementation of linear CorEx and temporal CorEx.

machine learning algorithms in Swift

Multilocus sequence typing by blast using the schemes from PubMLST

The PyTorch official implementation of the CVPR2021 Poster Paper NNM: Nearest Neighbor Matching for Deep Clustering.

Elastic, reproducible, and reusable genomic data science tools from R backed by cloud resources

A high-level Docker Services management tool built on top of Swarm

The OpenSVC node agent

Ansible role to install Consul (cluster of) server/agent

RNA-seq analysis pipeline for detection gene-fusions

Genomics Workflows on AWS

Consul - based cluster manager that can be plugged into Vert.x ecosystem.

Implementation of SOM and GSOM

文本聚类（Kmeans、DBSCAN、LDA、Single-pass）

GREIN : GEO RNA-seq Experiments Interactive Navigator

A tool for fast and accurate summarizing of variant calling format (VCF) files

Summer school course materials collection

This project is ABANDONWARE. Use https://www.rabbitmq.com/cluster-formation.html instead.

Python port of R's Comprehensive Dynamic Time Warp algorithms package

R interface for Fixed Effect Models

An interactive web portal for exploring immuno-oncology data

Locality Sensitive Hashing for Go (Multi-probe LSH, LSH Forest, basic LSH)

Pipeline of a keylogging attack using just an audio signal and unsupervised learning.

Playing with MNIST. Machine Learning. Generative Models.

Reference-based transcript discovery from long RNA read

Word analysis, by domain, on the Common Crawl data set for the purpose of finding industry trends

Numerical Encoding for Human Genetic Variants

🍊 💫 Trim, circularise and orient long read bacterial genome assemblies

Feature extraction algorithm for genomic data

A fun study of some heuristics for the Travelling Salesman Problem.

TAD calling, phase imputation, 3D modeling and more for diploid single-cell Hi-C (Dip-C) and general Hi-C

Consul-based peer discovery backend for RabbitMQ 3.7.0+

A method to mine beyond-pairwise relationships using Min-Hashing for large-scale pattern discovery

interactive clustering platform

simplified searching, fetching, and parsing records from NCBI using their E-utilities interface

xHLA: Fast and accurate HLA typing from short read sequence data

Streamlining SLAM-seq analysis with ultra-high sensitivity

Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European Union Public Licence (EUPL). FSDA is a joint project by the University of Parma and the Joint Research Centre of the European Commission.

CICERO: a versatile method for detecting complex and diverse driver fusions using cancer RNA sequencing data.

🐍 Snakefiles for common RNA-seq data analysis workflows.

This repository is a recommended track, designed to get started with Machine Learning.

https://dodiku.github.io/audio_noise_clustering/results/ ==> An experiment with a variety of clustering (and clustering-like) techniques to reduce noise on an audio speech recording.

An R framework for phylostratigraphy

A repository of resources for understanding the concepts of machine learning/deep learning.

A Snakemake workflow to process single samples or cohorts of paired-end sequencing data (WGS or WES) using trim galore/bwa/GATK4/parabricks.

WebAssembly modules for genomics