Search Results for "sandbox:/mnt/data/project_plan.pod" - Page 2

polyglot framework using Python/C++/JavaScript to fast develop applications to analyze biological sequences

...It congregates information from 4 different MaxQuant output files into a master file suitable explicitly for protein neo-termini analyses. The central anchor for the data congregation is the modificationSpecificPeptides.txt file - additional data is inferred from different other source files from the MaxQuant txt folder but the starting point for the data assembly is solely the modificationSpecificPeptides.txt file. Maybe also useful for normal proteomics purposes but this script is heavily optimized for protein neo-termini identification and validation. ...

COHCAP (City of Hope CpG Island Analysis Pipeline, pronounced "co-cap") is an algorithm to analyze single-nucleotide resolution methylation data (Illumina 450k methylation array, targeted BS-Seq, etc.). Please note: 1) The SourceForge version of COHCAP is no longer being updated. Please see the GitHub version: https://github.com/cwarden45/COHCAP This was the source repository for the Bioconductor version, with some changes after the decision to only provide the code through GitHub. 2) In addition to the original NAR paper, please see the following links: Benchmarks: http://www.nature.com/protocolexchange/protocols/2965#/introduction Protocol Exchange Files: http://sourceforge.net/projects/cohcap/files/Protocol_Exchange_Example.zip 3) Custom Annotation Files (including EPIC Array): https://sourceforge.net/projects/cohcap/files/additional_Bioconductor_annotations.zip/download

IntEnz is the name for the Integrated relational Enzyme database. IntEnz contains data curated and approved by the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology (NC-IUBMB).

...CBMPy supports the latest standards for encoding CBM models encoding, SBML L3 FBC, COBRA as well as MIRIAM compliant RDF and custom annotations. Its architecture is both extensible and flexible using data structures that are intuitive to the biologist while transparently translating these into the underlying mathematical structures. . CBMPy implements popular analyses such as FBA, FVA, element/charge balancing, network analysis and model editing as well as advanced methods developed for the ecosystem modelling. CBMPy supports user interaction via: - interactive console or as a library for advanced use - GUI, visual representation of the model, analysis methods - a SOAP based webAPI exposes high level functionality via web services

A key goal for NEMO is the development of a formal logic (“ontology”) to support data sharing, logic-based queries and mapping/integration of patterns across data from different labs, different experiment paradigms, and different modalities (EEG/MEG)

OpenChrom is a tool for gas chromatography and mass spectrometry. The focus is to handle data files from different GC/MS and GC/FID systems and vendors. Its functionality and algorithms can be extended using a flexible plugin approach, based on Eclipse RCP.

ProteoWizard development moved to GitHub in 2018. The ProteoWizard Library is a set of software libraries and tools for rapid development of proteomics data analysis software. The libraries are cross-platform and built from the ground up using modern C++ techniques.

Raw genomic sequences are frequently contaminated with sequences of other organism. Their identification is essential for the interpretation of genomic data. In this context it is essential to distinguish between horizontal gene transfers and contamination. The genomic context of sequences can help distinguish the two scenarios. Taxoblast splits genomic scaffolds into sub-sequences of defined length and for each of them determines the closest related taxon. It then summarizes this information for the entire scaffold, taking into account the taxonomic ontology. ...

DicomReader is a simple Java Dicom files decipher. It handles headers and images within as well; data (headers and pixel-value images) will be saved into ascii clear text files. A pgm version of the image files is also provided.

This project helps to digitize field data for a certain Bird Census method. Namely, bird census based on personal inspection or small (~10 km^2) regions with recording birds' position and behaviour on paper. This project makes it easy to annotate such field data and to make this data available for statistical analysis.

The Collaborative Computational Project for NMR (CCPN) provides tools and knowledge to maximise the impact of the biological NMR studies. The CCPN software facilitates data analysis and software integration. The project actively promotes the exchange of knowledge and provides training and best practices for the NMR community. CCPN also has a leading role in the development of a NMR data-sharing standard and coordination of NMR instrumentation proposals for RCUK and BIS. The 28 partners of CCPN jointly cover all aspects of biomolecular NMR and together they promote excellence in science in their respective fields.

...Karpievitch YV, Taverner T, Adkins JN, Callister SJ, Anderson GA, Smith RD, Dabney AR. Bioinformatics 2009 2) "Metabolomics data normalization with EigenMS" Karpievitch YV, Nikolic SB, Wilson R, Sharman JE, Edwards LM. PLoS One 2014

...National Science Foundation and the State of Kansas. A web browser application, Specify 7, is available on GitHub. In 2015, 450 biological collections worldwide use Specify Software for collections data management. An iPad app, Specify Insight is also available.

RDML-Ninja is an editor for qPCR data. It is the reference implementation for the RDML data standard allowing to visualize, edit and reanalyze qPCR data.

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).

MSqBAT is a freely-available all-platform software application for label-free quantification of proteins from LS-MS data. It was developed in the lab of Dr. Christoph Rösli at the Heidelberg Institude for Stem Cells and Experimental Medicine (HI-STEM) and the German Cancer Research Center (DKFZ). It’s main features are 1) Label-free, MS1-based quantification 2) Support both LC-MALDI-MS- as well as LC-ESI-MS data 3) Supports both GeLC-MALDI-MS- and GeLC-ESI-MS data 4) Convenient, graphical user interface Acknowledgements The development of MSqBAT is kindly supported by YourKit Java Profiler.

Maui is the Maltcms User Interface, a rich client application for Chromatography-Mass Spectrometry and related research areas.

ImagingAnalysis is a Mathematica package that performs grid-based analysis of time-lapse imaging data saved in a sequence of TIFF files. This package requires Mathematica 7.0. Revised on 14 May 2017: Bugs are fixed and incompatibility issues are resolved. The current version runs on Mathematica 11.

This project houses software to analyze data acquired from electrophysiology experiments. Currently, we have an Octave/MATLAB program to analyze electroneurogram traces of coupled oscillators, and a Perl library for the analysis of voltage trace data

An open source workbench for chemo- and bioinformatics built on the Eclipse Rich Client Platform (RCP).

The Maltcms - Modular Application Toolkit for Chromatography Mass-Spectrometry is a JAVA API for preprocessing, alignment, analysis and visualization of data stored in open file formats used in Proteomics and Metabolomics research.

The objective of this project is to provide an innovative tool for visualization of multiples genomes. Written in Java, it presents a simple and intuitive user interface to view and manipulate the relationships between groups of genes.

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).

Mauve computes and interactively visualizes genome sequence comparisons. Using FastA or GenBank sequence data, Mauve constructs multiple genome alignments that identify large-scale rearrangement, gene gain, gene loss, indels, and nucleotide substutit