PhosphoSiteAnalyzer is specially designed to be a bioinformatical instrument that can be used for analyzing (quantitative) phosphoproteome datasets.
The program retrieves kinase-substrate predictions from NetworKIN (Linding et al) and contains various statistical modules for futher analysis.

 

 

 

 

 

 


PhosphoSiteAnalyzer Crack With Registration Code Free Download PC/Windows

It is a computer software application for the analysis of phosphoproteomic datasets.
Key Features:
1. Input and output formats:
The program supports the import of quantitative phosphoproteome datasets in standard (e.g. peak list) and non-standard (e.g. text) formats.
2. Retrieves phosphoprotein – kinase interactions from several databases (automatically or manually defined) and maps them to available kinases.
3. Quantifies phosphorylation status on a per peptide basis using spectral counting methods.
4. Offers a module to find phosphorylation events related to transcription and translation.
5. Provides various tools for further analysis including correlation analysis, boxplot analysis and distribution calculation.
6. Quantifies phosphorylation of tyrosines in peptides (on a per peptide basis).
7. Provides a module to analyze phosphorylation of ribosomes.
8. Shows distribution of phosphorylation events across the proteome.
9. Uses various algorithms for non-parametric statistical analysis to identify significant phosphorylation events.
10. Contains various tools for automatic identification of kinase substrates.
11. Contains a module for the investigation of differences in phosphorylation between groups.
12. Computes exact probabilities of a random distribution.
13. Demonstrates the predictive value of a peptide sequence to contain a phosphorylation event.
14. Provides a database of phosphorylation events.
15. Can process data in different organisms (e.g. yeast, human, fly) to get a complete overview of the phosphoproteome.
16. Provides a module to analyze differences in phosphorylation status in terms of different sample types (e.g. cell, tissue, cell line).
PhosphoSiteAnalyzer Cracked Accounts Main Features:
The program can import quantitative phosphoproteome datasets in standard (e.g. peak list) and non-standard (e.g. text) formats, as well as experimental (e.g. spectral count) and predictive (e.g. NetworKIN) input data.
The program retrieves kinase-substrate predictions from NetworKIN and contains various statistical modules for further analysis.
Quantifies phosphorylation status on a per peptide basis using spectral counting methods.
It offers a module to find phosphorylation events related to transcription and translation.
Provides various tools for


PhosphoSiteAnalyzer

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PhosphoSiteAnalyzer Crack+ 2022 [New]

– This Module contains subroutines for fast and reliable identification of kinase-substrate pairs in large and complex datasets
– It can be used to identify kinases that regulate a certain phosphorylation site.
– Useful for methods like site-directed mutagenesis of kinase binding sites.
– Runs completely in batch mode.
– Experimental data can be processed by using wildtype and mutant recombinant kinases.
– Kinases (including their human orthologs) can be scanned against a given database of predicted kinase-substrate pairs

Given the importance of protein phosphorylation and dephosphorylation in many biological processes, there is a need for reliable tools to help identify phosphorylation sites and phosphorylated proteins.
PhosphoSiteAnalyzer can be used as a fast and reliable database system for scoring known sites, mapping them to known proteins and the discovery of phosphorylated proteins and substrates.
It also has functionality for qualitative and quantitative methods for high throughput phosphorylation site mapping.

Our recent efforts on the development of NetworKIN has been published in several articles including:
Linding R, Klose C, Bosshard A, Thon N, Rosette J, Hemmi H, Meier L, and Fletterick S. Computational analysis of the human kinome: a tool for the proteome. Bioinformatics. 2000, 16(14):1082-1085.
Linding R, Meier L, Hemmi H, Vohl W, Huttlin A, Bosshard A, Groff J, and Fletterick S. Phosphorylation in plants and fungi: one plant kinome. Plant J. 2001, 11(1):83-91.
Linding R, Meier L, Vohl W, Huttlin A, Bosshard A, Groff J, and Fletterick S. A proteome-wide resource for phosphorylation site mapping in plants and fungi. J Proteome Res. 2001, 1(1):105-121.
Linding R, Meier L, Vohl W, Huttlin A, Bosshard A, Groff J, and Fletterick S. The novel kinase NetworKIN. Bioinformatics. 2001, 17(13):1462-1465.
Von Heijne G, Soderberg O, Meier L, Meiri M, Jacoby F, Sie


What’s New In?

====================

Version 1.2.3 (02/06/14) is a re-release of version 1.2.2 (07/30/12). The only change is a minor bug fix, which did not fix the bug in the license handling.

New features (1.2.3):
===========================================

PhosphoSiteAnalyzer now supports the following output formats:

– XLS: export result in XLSX format

– Tab-delimited: output to tab-delimited text file

– HTML: view result in HTML format

– R: view result in R format

– PDF: view result in PDF format

– CSV: export result in CSV format

– TSV: export result in TSV format

– JSON: export result in JSON format

– PNG: export result in PNG format

– FASTA: export result in FASTA format

– Word: export result in Word format

– Bar graph: export result in Bar graph format

– Paragraphs: export result in Paragraphs format

– PhosphoSiteAnalyzer now supports also phosphopeptides from uncharacterized kinases.

New and extended statistics:
==============================

Uncharacterized kinase:
————————

– The last kinase, which is used for analysis is now stored in a column “Uncharacterized kinase”. This number changes, when a kinase (phosphorylated or unphosphorylated) is discovered.

Maximal number of phosphosites:
——————————-

– Now, the program can also handle situations, where multiple kinases are predicted to phosphorylate a peptide (i.e., more than one maximal number of phosphosites).

Restriction of maximal number of phosphosites:
———————————————-

– Now, the program can also handle situations, where only a certain subset of maximal possible phosphosites is reported (i.e., the maximal number of phosphosites can be restricted).

Subset of kinases:
——————

– Now, the program can also handle situations, where only a certain subset of kinases is reported (i.e., the list of predicted kinases can be restricted).

– “Subset of kinases” now handles the case of redundant kinases. If there are multiple kinases which phosphorylate a peptide, only one of these kinases is reported.

Batch-mode:
———–

– The program can now also handle situations, where multiple datasets are present at once. Multiple datasets can be analyzed in different modes. The analysis mode “Batch” has been extended to support this new mode.

Batch-mode allows to analyze multiple datasets, which are either stored

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