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Open AccessJournal ArticleDOI

A Comprehensive Subcellular Atlas of the Toxoplasma Proteome via hyperLOPIT Provides Spatial Context for Protein Functions

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TLDR
This work determines the steady-state subcellular location of thousands of proteins simultaneously within the globally prevalent apicomplexan parasite Toxoplasma gondii, and these data reveal the spatial organizations of protein expression and function, adaptation to hosts, and the underlying evolutionary trajectories of these pathogens.
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This article is published in Cell Host & Microbe.The article was published on 2020-11-11 and is currently open access. It has received 158 citations till now.

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Density-based clustering based on hierarchical density estimates

TL;DR: In this article, the authors proposed a hierarchical density-based hierarchical clustering method, which provides a clustering hierarchy from which a simplified tree of significant clusters can be constructed, and demonstrated that their approach outperforms the current, state-of-the-art, densitybased clustering methods.

A Genome-wide CRISPR Screen in Toxoplasma Identifies Essential Apicomplexan Genes

TL;DR: The first genome-wide genetic screen of an apicomplexan parasite is presented, revealing essential functions during infection of human cells and providing broad-based functional information on T. gondii genes that will facilitate future approaches to expand the horizon of antiparasitic interventions.
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Molecular characterization of the conoid complex in Toxoplasma reveals its conservation in all apicomplexans, including Plasmodium species.

TL;DR: The conoid is a conspicuous feature of the apical complex used by apicomplexan parasites, and the conoid proteins have previously been identified, making it difficult to address how conserved this feature is throughout the phylum and whether it is genuinely missing from some major groups as discussed by the authors.
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Biogenesis and discharge of the rhoptries: Key organelles for entry and hijack of host cells by the Apicomplexa.

TL;DR: In this article, the authors review the recent studies on Toxoplasma and Plasmodium parasites that shed light on the key steps leading to rhoptry biogenesis, trafficking, and discharge.
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Composition and stage dynamics of mitochondrial complexes in Plasmodium falciparum.

TL;DR: This article applied complexome profiling to map the inventory of protein complexes across the pathogenic asexual blood stages and the transmissible gametocyte stages of Plasmodium falciparum and found that respiratory chain complex components and linked metabolic pathways are up to 40 times more prevalent in gametocytes, while glycolytic enzymes are substantially reduced.
References
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Journal Article

R: A language and environment for statistical computing.

R Core Team
- 01 Jan 2014 - 
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
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Controlling the false discovery rate: a practical and powerful approach to multiple testing

TL;DR: In this paper, a different approach to problems of multiple significance testing is presented, which calls for controlling the expected proportion of falsely rejected hypotheses -the false discovery rate, which is equivalent to the FWER when all hypotheses are true but is smaller otherwise.
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NIH Image to ImageJ: 25 years of image analysis

TL;DR: The origins, challenges and solutions of NIH Image and ImageJ software are discussed, and how their history can serve to advise and inform other software projects.
Journal Article

Visualizing Data using t-SNE

TL;DR: A new technique called t-SNE that visualizes high-dimensional data by giving each datapoint a location in a two or three-dimensional map, a variation of Stochastic Neighbor Embedding that is much easier to optimize, and produces significantly better visualizations by reducing the tendency to crowd points together in the center of the map.
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Inference from Iterative Simulation Using Multiple Sequences

TL;DR: The focus is on applied inference for Bayesian posterior distributions in real problems, which often tend toward normal- ity after transformations and marginalization, and the results are derived as normal-theory approximations to exact Bayesian inference, conditional on the observed simulations.
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