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1.
J Proteome Res ; 22(2): 561-569, 2023 02 03.
Article in English | MEDLINE | ID: mdl-36598107

ABSTRACT

The Crux tandem mass spectrometry data analysis toolkit provides a collection of algorithms for analyzing bottom-up proteomics tandem mass spectrometry data. Many publications have described various individual components of Crux, but a comprehensive summary has not been published since 2014. The goal of this work is to summarize the functionality of Crux, focusing on developments since 2014. We begin with empirical results demonstrating our recently implemented speedups to the Tide search engine. Other new features include a new score function in Tide, two new confidence estimation procedures, as well as three new tools: Param-medic for estimating search parameters directly from mass spectrometry data, Kojak for searching cross-linked mass spectra, and DIAmeter for searching data independent acquisition data against a sequence database.


Subject(s)
Software , Tandem Mass Spectrometry , Tandem Mass Spectrometry/methods , Proteomics/methods , Databases, Protein , Algorithms
2.
PLoS Comput Biol ; 15(9): e1007329, 2019 09.
Article in English | MEDLINE | ID: mdl-31509524

ABSTRACT

Empirical evidence suggests that the malaria parasite Plasmodium falciparum employs a broad range of mechanisms to regulate gene transcription throughout the organism's complex life cycle. To better understand this regulatory machinery, we assembled a rich collection of genomic and epigenomic data sets, including information about transcription factor (TF) binding motifs, patterns of covalent histone modifications, nucleosome occupancy, GC content, and global 3D genome architecture. We used these data to train machine learning models to discriminate between high-expression and low-expression genes, focusing on three distinct stages of the red blood cell phase of the Plasmodium life cycle. Our results highlight the importance of histone modifications and 3D chromatin architecture in Plasmodium transcriptional regulation and suggest that AP2 transcription factors may play a limited regulatory role, perhaps operating in conjunction with epigenetic factors.


Subject(s)
Computational Biology/methods , Histone Code/genetics , Models, Statistical , Nucleosomes/genetics , Plasmodium falciparum/genetics , Erythrocytes/parasitology , Gene Expression Profiling , Gene Expression Regulation/genetics , Genes, Protozoan/genetics , Humans , Life Cycle Stages/genetics , Machine Learning , Malaria, Falciparum , Models, Biological , Plasmodium falciparum/cytology , Plasmodium falciparum/pathogenicity
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