Analysis of deep sequencing data for rapid and intuitive interpretation of genome editing experiments
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Updated
Jul 9, 2024 - Python
Analysis of deep sequencing data for rapid and intuitive interpretation of genome editing experiments
Quantitative Image Analysis in C++, MATLAB and Python
RNA-seq pipeline for raw sequence alignment and transcript/gene quantification.
Preprocess, noise-reduction, threshold & quantify images to get box plots for each class (mainly cell cultures of different cel llines). Colocalization due to a naive trick of counting all overlapping signals/pixels. Could be done in ImageJ as well, but i thought this is better suited than fiddling with macros.
A workflow designed to perform multiplexed image analysis, specialising in (but not limited to) analysis of metal distribution in LA-ICP-TOFMS data.
pyAMARES, an Open-Source Python Library for Fitting Magnetic Resonance Spectroscopy Data
A highly customizable framework to quantify a pull request within a repository context.
A R package to apply the climate reconstruction CREST.
Absolute quantification package based on quantms.io
Bayesian Quantification with Black-Box Estimators
A Python package to estimate class prevalence in unlabeled datasets by specifying stability assumptions
A framework for Quantification written in Python
🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment
An advanced persona-driven role-playing system with global faithfulness quantification and optimization. In memory of the Koishi's Day of 2024.
EpiProfile 2.0: A Computational Platform for Processing Epi-Proteomics Mass Spectrometry Data
MyoQuant🔬: a tool to automatically quantify pathological features in muscle fiber histology images. Demo version deployed at: https://lbgi.fr/MyoQuant
Quantitative analysis of chemicals
Fast and accurate label-free quantification for small and very large numbers of proteomes
Python interface to detect and quantify intranuclear proteins
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