592 Open source projects that are alternatives of or similar to Startapp

Burrow-Wheeler Aligner for short-read alignment (see minimap2 for long-read alignment)

Seven Bridges API Client, CWL Schema, Meta Schema, and SDK Helper in R

Collapsible panels layout for r shiny apps

Create regional association plots from GWAS or meta-analysis

A pure Go game engine

Python Programming for Biologists

R scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data

Parser and database to index the terpene profile of different strains of Cannabis from online databases

A data analysis web-app written in R Shiny.

Lightweight Iterative Gene set Enrichment in R

HTS-compatible wrapper for IgBlast V-(D)-J mapping tool

Javascript full-stack framework for Big Data visualisation and analysis

1D/2D indexing and querying on bgzipped text file with a pair of genomic coordinates

GeneValidator: Identify problems with predicted genes

Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins

An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)

Generate UML diagrams of Shiny modules

Randomly subsample sequencing reads to a specified coverage

compacted de Bruijn graph construction in low memory

A versatile pairwise aligner for genomic and spliced nucleotide sequences

Distilled and Refined Annotation of Metabolism: A tool for the annotation and curation of function for microbial and viral genomes

Single-Cell Analysis in Python. Scales to >1M cells.

LAMBDA – the Local Aligner for Massive Biological DatA

Estimate metagenomic coverage and sequence diversity

unit testing for shiny reactivity

Official code repository for GATK versions 4 and up

Simultaneous detection of SNPs and Indels using a 16-genotype probabilistic model

Project files of the article featured here: http://db.rstudio.com/best-practices/dashboards/

Universal Transcript Archive: comprehensive genome-transcript alignments; multiple transcript sources, versions, and alignment methods; available as a docker image

🌈Scaffold genome sequence assemblies using linked read sequencing data

Exact Tandem Repeat Finder (not a TRF replacement)

A library for generating an interactive SVG visualization of CWL workflows

A standalone interactive application for detecting biological significance on a set of genes

Global Biotic Interactions provides access to existing species interaction datasets

MetaSRA: normalized sample-specific metadata for the Sequence Read Archive

Support Vector Structural Variation Genotyper

Comprehensive toolkit for generating various numerical features of protein sequences

Genome inference from a population reference graph

Snakemake-based workflow for detecting structural variants in WGS data

Emperor a tool for the analysis and visualization of large microbial ecology datasets

课题组每周研讨会

Solutions to assignments of Coursera Specializations - Deep learning, Machine learning, Algorithms & Data Structures, Image Processing and Python For Everybody

A lightweight immune repertoire browser

Yet Another Chimeric Read Detector

A collection of publications on comparison of high-throughput sequencing technologies.

🔪Good-looking problems: customise your Shiny disconnected screen and error messages

UNCURL is a tool for single cell RNA-seq data analysis.

Analysis pipelines for sequencing data

A full spaCy pipeline and models for scientific/biomedical documents.

Characterization of Germline variants

AIS visualization from an interactive R and Shiny based web app using Material Design from Google.

VerifyBamID2: A robust tool for DNA contamination estimation from sequence reads using ancestry-agnostic method.

🐣 locally query the ncbi taxonomy

A tutorial on methods of 16S analysis with QIIME 1

Tools and databases for analyzing HLA and VDJ genes.

Flexible genotype query among 30,000+ samples whole-genome

😎 A curated list of software and resources for exploring and visualizing (browsing) expression data 😎

R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)

Model and predict short DNA sequence features with neural networks

Finding surprising needles (=genes) in haystacks (=single cell transcriptome data).