Search Results for "cell negative analysis"
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Showing 8 open source projects for "cell negative analysis"
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awesome-single-cell
Community-curated list of software packages and data resources
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc. List of software packages (and the people developing these methods) for single-cell data analysis, including RNA-seq, ATAC-seq, etc. Rapid, accurate and memory-frugal preprocessing of single-cell and single-nucleus RNA-seq data. Find bimodal, unimodal, and multimodal features in your data. Ascend is an R package comprised of fast, streamlined analysis functions optimized to address the statistical challenges of single cell RNA-seq. ... -
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OME-3DR
3D cell reconstruction and quantitative analysis based on OME data
For big OME data analysis, we integrate commonly used quantitative methods, describe our novel strategies to quantify and analyze biological markers related to the cell or organelle spatial-coordinate model, and present open-source OME-3-Dimensional Reconstruction (OME-3DR), a flexible, programmable and batch-oriented tool based on OME data, for reconstructing 3-dimensional (3D) spatial conformations and conducting further analyses, such as the identification, counting, localization and tracking of bio-imaging markers, calculation of model-contour parameters for association analyses, establishing spatial-coordinate system, 3D co-localization analyses and so on. ... -
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GlycoPAT
Comprehensive, open-source tool for glycoproteomics MS data analysis
...Lo, Jun Li, Jun Qu and Sriram Neelamegham. " A comprehensive, open-source platform for mass spectrometry based glycoproteomics data analysis", Molecular Cell Proteomics, 2017 Sep 8, in press. https://doi.org/10.1074/mcp.M117.068239 -
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ETU SQL for MySQL
Powerful tool for data analysis and editing
Changelog (Version 7 - Update 1) New Discard Partialy Changes New Edit Row in Window New List of User Connections New Show Image on Form New Quickly View of Cell Values Download also: 1) ETU SQL for MS SQL : https://sourceforge.net/projects/etusqltango/ 2) ETU SQL for Oracle: https://sourceforge.net/projects/etusqlfororacle/ 3) ETU SQL for DB2: https://sourceforge.net/projects/etusqlfordb2/ 4) ETU SQL for PostgreSQL: https://sourceforge.net/projects/etusqlforpostegresql/ -
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ETU SQL for PostgreSQL
Powerful tool for data analysis and editing
Changelog (Version 7 - Update 1) New Discard Partialy Changes New Edit Row in Window New List of User Connections New Show Image on Form New Quickly View of Cell Values Download also : 1) ETU SQL for MySQL: https://sourceforge.net/projects/etusqlformysql/ 2) ETU SQL for Oracle: https://sourceforge.net/projects/etusqlfororacle/ 3) ETU SQL for DB2: https://sourceforge.net/projects/etusqlfordb2/ 4) ETU SQL for MS SQL Server: https://sourceforge.net/projects/etusqltango/ -
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ETU SQL for DB2
Powerful tool for data analysis and editing
Changelog (Version 7 - Update 1) New Discard Partialy Changes New Edit Row in Window New List of User Connections New Show Image on Form New Quickly View of Cell Values Download also : 1) ETU SQL for MySQL: https://sourceforge.net/projects/etusqlformysql/ 2) ETU SQL for Oracle: https://sourceforge.net/projects/etusqlfororacle/ 3) ETU SQL for MS SQL Server: https://sourceforge.net/projects/etusqltango/ -
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ETU SQL for Oracle
Powerful tool for data analysis and editing
Changelog (Version 7 - Update 1) New Discard Partialy Changes New Edit Row in Window New List of User Connections New Show Image on Form New Quickly View of Cell Values Download also: 1) ETU SQL for MS SQL : https://sourceforge.net/projects/etusqltango/ 2) ETU SQL for MySQL : https://sourceforge.net/projects/etusqlformysql/ 3) ETU SQL for DB2: https://sourceforge.net/projects/etusqlfordb2/ Damián Ezequiel Ortiz - 2014 -
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GLMNB
GLMNB: a shape-based peak calling tool for ChIP-Seq data analysis
This is the beta-version of a shape-based peak calling tool for ChIP-Seq data analysis. It is built using Generalized Linear Model with Negative binomial distribution. This tool accounts for the common peak shape, local variability of peak shifting distance and negative binomial background noise.
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