Search Results for "quantitative"
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Showing 36 open source projects for "quantitative"
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PANDA
A comprehensive and flexible quantification tool for proteomics data
PANDA is a comprehensive and flexib tool for quantitative proteomics data analysis, which is developed based on our solid foundations in quantitative proteomics for years. Several novelties have been implemented in it. First, we implement the advantage algorithms of LFQuant (Proteomics 2012, 12, (23-24), 3475-84) and SILVER (Bioinformatics 2014, 30, (4), 586-7) into PANDA. Second, we consider the state-of-art concept of quantification reliability in this quantitative workflow. ... -
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Nemo
Individual-based forward-time genetics simulation software
Nemo is an individual-based, forward-time, genetically explicit, and stochastic simulation software designed for the study of the evolution of life history and quantitative traits, and genetic markers under various types of selection, in a spatially explicit, metapopulation framework. -
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DataPrep
Python-based data preprocessing tool
DataPrep v0.2 is a Tkinter-based GUI application/tool designed to assist users in data preprocessing, multicollinearity removal, and feature selection for a wide range of applications in Cheminformatics, Bioinformatics, Data Analysis, Feature Selection, Molecular Modeling, Machine Learning, and Quantitative-structure-property relationship (QSPR) studies. It includes functionality to load, process, and save datasets with support for different preprocessing & multicollinearity removal strategies with customizable parameter setting options. -
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Croizat
A software package for quantitative analysis in Panbiogeography
Croizat is a free, user-friendly, cross-platform desktop software package which biologists can use to integrate and analyze spatial data on species or other taxa and to explore geographical patterns in diversity under a panbiogeographic and graph-theoretic approach. -
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Gemi
PCR primers / probes design from multiple & degenerate sequences
...https://sites.google.com/view/hsa23/ Gemi, an automated, fast, and easy-to-use bioinformatics tool with a user-friendly interface to design primers and probes for polymerase chain reaction (PCR). Gemi accepts multiple aligned and long DNA and RNA sequences with degenerate nucleotide (non-A/C/G/T bases). Gemi can be used for quantitative, real-time and conventional PCR (qPCR, rt-PCR, etc.), and Sanger sequencing. Gemi can parse large dataset of sequences efficiently. Python codes can be supported upon request. Article: Gemi: PCR primers prediction from multiple alignments Comparative and functional genomics 2012;2012:783138 DOI: https://doi.org/10.1155/2012/783138 PMID: https://www.ncbi.nlm.nih.gov/pubmed/23316117 PMCID: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3535827/ -
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miRprimer
Automatic design of primers for miR-specific RT-qPCR
miRprimer designs primers for PCR amplification of microRNAs as described (Busk (2014). A tool for design of primers for microRNA-specific quantitative RT-qPCR. BMC Bioinformatics. 15, 29) for use with the method miR-specific RT-qPCR (Cirera, S., and Busk, P.K. (2014). Quantification of miRNAs by a simple and specific qPCR method. Methods in Molecular Biology. 1182, 73-81.). The program was written in Ruby and is available as source code for developers and as an .exe file for easy use. -
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DBSolveOptimum
The software for systems biology/pharmacology modeling
...In addition to the capabilities of these software packages, DBSolveOptimum is implemented with new tools for extended data analysis and multiple simulations, which are important for simulation of virtual clinical trials and application of modern modeling techniques, like quantitative systems pharmacology, to problems arising in drug research and development. By this time, DBSolveOptimum has been successfully tested and applied for the development and analysis of both systems pharmacology and conventional PK/PD models of drugs. It is free for academic and industrial use. http://www.ncbi.nlm.nih.gov/pubmed/20698988 -
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Python4Proteomics Course
Python course for Proteomics analysis
Python course (in Spanish) for Proteomics analysis using basically Jupyter NoteBooks. For more information, you can have a look at the readme.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/p4p/code/ci/default/tree/readme.md -
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DEBay
Deconvolutes qPCR data to estimate cell-type-specific gene expression
...The user manual of DEBay: https://sourceforge.net/projects/debay/files/UserManual.pdf Sample data: https://sourceforge.net/projects/debay/files/Test_data/ Citation Information: Vimalathithan Devaraj, Biplab Bose. DEBay: A computational tool for deconvolution of quantitative PCR data for estimation of cell type-specific gene expression in a mixed population. Heliyon, 2020, 6(7), e04489. https://doi.org/10.1016/j.heliyon.2020.e04489 -
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MetaErg
Metagenome Annotation Pipeline
MetaErg is a stand-alone and fully automated metagenome and metaproteome annotation pipeline published at: https://www.frontiersin.org/articles/10.3389/fgene.2019.00999/full. If you are using this pipeline for your work, please cite: Dong X and Strous M (2019) An Integrated Pipeline for Annotation and Visualization of Metagenomic Contigs. Front. Genet. 10:999. doi: 10.3389/fgene.2019.00999 The instructions on configuring and running the MetaErg pipeline is available at GitHub... -
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PANDA-view
An easy-to-use tool for data visualization and statistical analysis
PANDA-view, an affiliated tool of PANDA, includes the methods for differentially expressed protein detection, missing value imputation and the parametric and non-parametric statistical tests. Meanwhile, the most commonly-used data visualization methods are also implemented in PANDA-view. -
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CompleXChange
differential analysis of combinatorial protein complexes
The increasing wealth of transcriptomic data and current computational tools enable to infer how protein interactomes and complexomes may be assembled in specific samples. With CompleXChange this information can be exploited to conduct differential analyses of the dynamic protein complexome in a quantitative manner. The corresponding publication can be found on https://doi.org/10.1186/s12859-019-2852-z. -
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RDML stands for Real-time PCR Data Markup Language and is the standard file format for export, storage and exchange of quantitative PCR (qPCR) data. This project focuses on the development, implementation and enhancement of the RDML file format and its description (XML schema).
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...This software is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY. In case you use the package in your work, we do appreciate a citation to a DSS publication. Citation: Yadav et al. (2014), Quantitative scoring of differential drug sensitivity for individually optimized anticancer therapies. Scientific Reports 4, 5193; DOI:10.1038/srep05193 Please visit the link below for details
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A tool for extracting and preprocessing spectral count data for label-free quantitative proteomic analysis. This program is designed to be used with the Trans-Proteomic Pipeline (TPP).
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pyQPCR is a GUI application written in python that deals with quantitative PCR (QPCR) raw data. Using quantification cycle values extracted from QPCR instruments, it uses a proven and universally applicable model to give finalized quantification resu
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RT-alignment
Graph-based time alignment algorithms for multiple LC-MS datasets
...An LC-MS analysis of a complex biological sample can be visualized as a “map” of which the positional coordinates are the mass-to-charge ratio (m/z) and chromatographic retention time (RT) of the chemical species profiled. Label-free quantitative-proteomics requires the alignment and comparison of multiple LC-MS maps to ascertain the reproducibility of experiments or reveal proteome changes under different conditions. The main challenge in this task lies in correcting retention time shifts, which are inevitable even on the same instrument and under the same elution conditions. ... -
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GASiC
Genome Abundance Similarity Correction
One goal of sequencing based metagenomic analysis is the quantitative taxonomic assessment of microbial community compositions. However, the majority of approaches either quantify at low resolution (e.g. at phylum level) or have severe problems discerning highly similar species. Yet, accurate quantification on species level is desirable in applications such as metagenomic diagnostics or community comparison. -
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fitGCP
Fitting genome coverage distributions with mixture models
...Thus, biases such as fragmented or erroneous reference genomes often remain unaccounted for. Making this information accessible can improve the quality of sequencing experiments and quantitative analyses. fitGCP is a framework for fitting mixtures of probability distributions to genome coverage profiles. Besides commonly used distributions, fitGCP uses distributions tailored to account for common artifacts. The mixture models are iteratively fitted based on the Expectation-Maximization algorithm. Please find the accompanying paper here: http://dx.doi.org/10.1093/bioinformatics/btt147 -
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qPMerge
phospho-peptide merge tools for Galaxy
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IQuant
A pipeline for quantitative proteomics based upon isobaric tags
IQuant is an automated pipeline for quantitative proteomics based upon isobaric tags. It integrates post-processing tool of protein identification and advanced statistical algorithms to process the MS/MS signals generated from the peptides labeled by isobaric tags for quantification. IQuant can run from a graphical user interface (GUI) as well as a command-line interface and work with both Windows and Linux system. -
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CoDeCZ
Derive copy number status from targeted sequencing data
CoDeCZ derives copy number state from targeted sequencing data on gene or exon level. Results are NOT true copy number however, but they are semi-quantitative: It uses the modified z-score to calculate deviation in normalized coverage per specified region. The higher the Z-score, the higher the copy number. The final z-score depends on the quality of the data and the makeup of the reference pool. -
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Altrans
Quantification of Splicing Events
...The link counts ascertained from unique regions are normalized with the probability of observing such a link given the insert size distribution which is referred to as link coverage. Finally the quantitative metric produced is the fraction of one link’s coverage over the sum of the coverages of all the links that the initial first exon makes. -
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RICmerge
Improved Isobaric Label Reporter Ion Assignment
This script and underlying data are in support of the manuscript entitled "Improved reporter ion assignment of raw isobaric stable isotope labeled LC-MALDI-TOF/TOF MS/MS spectral data for quantitative proteomics". Authors: Thomas Jakoby, Andreas Tholey and Bart H.J. van den Berg* * = corresponding author bvdberg@live.com -
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FastMap is Java based software that performs quantitative trait locus mapping for gene expression data (eQTL Mapping).
