Search Results for "j-interop"
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Showing 9 open source projects for "j-interop"
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JSONVisor
Visor for mass spectrometry JSON files generated by Integrator
...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/jsonvisor3/code/ci/default/tree/README.md - Gallardo, Ó., Ovelleiro, D., Gay, M., Carrascal, M., & Abian, J. (2014). A collection of open source applications for mass spectrometry data mining. PROTEOMICS, 14(20), 2275–2279. https://doi.org/10.1002/pmic.201400124 -
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LymPHOS2
LymPHOS2 Web-App
LymPHOS2 is a web-based Application at www.LymPHOS.org containing peptidic and protein sequences and spectrometric information on the PhosphoProteome of human T-Lymphocytes. - Nguyen, TD., Vidal-Cortes, O., Gallardo, Ó., Abian, J., Carrascal, M., LymPHOS 2.0: an update of a phosphosite database of primary human T cells. Database 2015, 2015. DOI: 10.1093/database/bav115 - Carrascal, M., Ovelleiro, D., Casas, V., Gay, M., Abian, J., Phosphorylation analysis of primary human T lymphocytes using sequential IMAC and titanium oxide enrichment. J. Proteome Res. 2008, 7, 5167-5176. ... -
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EasierMGF
Converts RAW Thermo Files into MGF files
...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/easiermgf3/code/ci/default/tree/README.md - Gallardo, Ó., Ovelleiro, D., Gay, M., Carrascal, M., & Abian, J. (2014). A collection of open source applications for mass spectrometry data mining. PROTEOMICS, 14(20), 2275–2279. https://doi.org/10.1002/pmic.201400124 -
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TCellXTalk
TCellXTalk Web-App from LP CSIC/UAB
...More detailed information on TCellXTalk and the people at the CSIC/UAB Proteomics Laboratory behind it can be obtained at https://www.tcellxtalk.org/about/ - Casanovas, A., Gallardo, Ó., Carrascal, M., Abian, J., TCellXTalk facilitates the detection of co-modified peptides for the study of protein post-translational modification cross-talk in T cells. Bioinformatics 2019, 35-8, 1404–1413, DOI 10.1093/bioinformatics/bty805 ( https://doi.org/10.1093/bioinformatics/bty805 ) -
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BayesRate
Bayesian estimation of diversification rates
BayesRate is a program to estimate speciation and extinction rates from dated phylogenies in a Bayesian framework. The methods are described in: Silvestro, D., Schnitzler, J. and Zizka, G. (2011) A Bayesian framework to estimate diversification rates and their variation through time and space. BMC Evolutionary Biology, 11, 311 Silvestro D., Zizka G. & Schulte K. (2014) Disentangling the effects of key innovations on the diversification of Bromelioideae (Bromeliaceae). Evolution, 68, 163-175. -
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ChIP-RNA-seqPRO
ChIP-RNA-sequencing-processing (ChIP-RNA-seqPRO)
ChIP-RNA-seqPRO: A strategy for identifying regions of epigenetic deregulation associated with aberrant transcript splicing and RNA-editing sites. Runnable python scripts packaged together with customized annotation libraries, demo data input and README guide. 9/26 : v1.1 Updated MAIN_IV to debug error thrown by python pandas no longer supporting 'subset'. This code will no longer be actively maintained/updated here. A cloud-based resource for comparative analysis of epigenetic,... -
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ReferenceFree
Scripts for reference free genomic analysis
These are Python scripts plus C/C++ programs for automating the reference free genomic analysis described in: Kua C-S, Ruan J, Harting J, Ye C-X, Helmus MR, et al. (2012) Reference-Free Comparative Genomics of 174 Chloroplasts. PLoS One 7(11). http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0048995 Analytical concept conceived by CHCannon and CSKua. Original script written in Mathematica by CHCannon. -
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A colorized interactive dotplot program designed for pair-wise comparisons of RNA & DNA. The original idea was from the mind of late Prof. William J. Dreyer of Caltech. The idea is to be able to see the "tapestry" of life, which comes alive with color.
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pymzML
Python module to interface mzML data in Python
Python module to interface mzML data in Python based on cElementTree with additional tools for MS-informatics. CITATION Please cite us when using pymzML for your publications. Bald, T., Barth, J., Niehues, A., Specht, M., Hippler, M., & Fufezan, C. (2012). pymzML - Python module for high throughput bioinformatics on mass spectrometry data. Bioinformatics, 1-2. doi: 10.1093/bioinformatics/bts066 -
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