pythseq Goto Github PK

squeezemeta

A complete pipeline for metagenomic analysis

squigglekit

SquiggleKit: A toolkit for manipulating nanopore signal data

sra-explorer

Web application to explore the Sequence Read Archive.

sra-tools

SRA Tools

srac2lrac

R code for calculating the concordance statistic between short read derived MAG and long read chromosomes

sradbv2

R Interface to the NCBI SRA metadata

srafind

Get SRA accessions from nucleotide accessions, assuming the authors did the right thing and made the data available

stages

standard-raxml

staphopia-paper

Code used for Staphopia manuscript

star

RNA-seq aligner

star-fusion

STAR-Fusion codebase

stash

Naive on-disk caching in R

stat545

A :book: on data wrangling, exploration, & analysis with R - created by Jenny Bryan, made with bookdown

stat_rethinking_2023

Statistical Rethinking Course for Jan-Mar 2023

statannotations

add statistical significance annotations on seaborn plots. Further development of statannot, with bugfixes, new features, and a different API.

statcomp_src

Statistical Computing - source Rmarkdown files

statiskit

A Software Suite for Statistical Analyses

statrethinking_winter2019

Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019

stats-illustrations

R & stats illustrations by @allison_horst

statsexpressions

Expressions with statistical details 📉 📜🔣✅

statsintro_python

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

stemmrolemodels

Inspire future generations by providing the most exciting and diverse speakers for your conference.

straight.el

🍀 Next-generation, purely functional package manager for the Emacs hacker.

strainhub

Welcome to the StrainHub Repo - Files and Data - StrainHub Online:

strategic-communication

A best-of-breed language with a holistic approach to moving the needle

stratipy

Graph regularized nonnegative matrix factorization (GNMF) in Python

stream

STREAM: Single-cell Trajectories Reconstruction, Exploration And Mapping of single-cell data

streaminghttp-tutorial

L'objectif de cette série d'exercices est d'apprendre à concevoir et développer une application en utilisant des technologies de Streaming HTTP (WebSocket et Server-Sent Event). L'implémentation sera réalisée en utilisant le langage Java et les bibliothèques JAX-RS et Tyrus.

streamlit

Streamlit — The fastest way to build custom ML tools