There are 2 repositories under quantification topic.
🐟 🍣 🍱 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
🐟 🔬🦀 alevin-fry is an efficient and flexible tool for processing single-cell sequencing data, currently focused on single-cell transcriptomics and feature barcoding.
Discovering known and novel miRNAs from small RNA sequencing data
Assessing the purity of single cell population
A highly customizable framework to quantify a pull request within a repository context.
Pruning and quantization for SSD. Model compression.
A tool for domain based annotation with databases from the Conserved Domains Database
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.
RNA-seq pipeline for raw sequence alignment and transcript/gene quantification.
Ultra-fast label-free quantification algorithm for mass-spectrometry proteomics
:link: A TenderMint blockchain API to make collaborative work measurable & quantifiable
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.
Construction, quantification, and visualization of proteoform families
QuantificationLib is an open-source library for quantification learning.
#ZVQ - Zebrafish Vascular Quantification - https://doi.org/10.1242/dev.199720
A R package to apply the climate reconstruction CREST.
Pipeline for RNA-seq analysis
A Python library which provides a collection of tools for the measurement, quantification, and visualization of neuron morphology.
Quantification of qualitative survey data
🏥 Quantification of Parkinsonian and Essential Tremor using a novel, bluetooth-integrated accelerometer based system
[IEEE-JBHI 2020] TensorFlow/Keras implementation: Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification
EELSAnalyser is a EELS data analysis tool written in MATLAB. Contact : Veer.Angadi@brunel.ac.uk
#GliaMorph - Toolkit to Process and Analyse Müller Glia Morphology
Repo accompanying our manuscript on quantifying extra-nuclear inserts from population-level low-pass sequencing data