🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment

Analysis of deep sequencing data for rapid and intuitive interpretation of genome editing experiments

Quantitative Image Analysis in C++, MATLAB and Python

🐟 🔬🦀 alevin-fry is an efficient and flexible tool for processing single-cell sequencing data, currently focused on single-cell transcriptomics and feature barcoding.

An R package to test for batch effects in high-dimensional single-cell RNA sequencing data.

Discovering known and novel miRNAs from small RNA sequencing data

Assessing the purity of single cell population

A framework for Quantification written in Python

A highly customizable framework to quantify a pull request within a repository context.

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Fast and accurate label-free quantification for small and very large numbers of proteomes

A tool for domain based annotation with databases from the Conserved Domains Database

Pruning and quantization for SSD. Model compression.

CONCEPT is a dataset of lamb-wave measured in composite structures in healthy and damaged states. This experiment was conducted at the SHM Lab from UNESP Ilha Solteira.

DeltaE is a pure-Rust implementation of the CIEDE2000 algorithm

RNA-seq pipeline for raw sequence alignment and transcript/gene quantification.

A pipeline to assess the quantification of transcripts.

Ultra-fast label-free quantification algorithm for mass-spectrometry proteomics

Analysis of Dual RNA-seq data - an experimental method for interrogating host-pathogen interactions through simultaneous RNA-seq.

Pre-processing of mass spectrometry-based metabolomics data with quantification and identification based on MS1 and MS2 data.