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Background
Although single molecule sequencing is still improving, the lengths of the generated sequences are inevitably an advantage in genome assembly. Prior work that utilizes long reads to conduct genome assembly has mostly focused on correcting sequencing errors and improving contiguity of de novo assemblies.Results
We propose a disassembling-reassembling approach for both correcting structural errors in the draft assembly and scaffolding a target assembly based on error-corrected single molecule sequences. To achieve this goal, we formulate a maximum alternating path cover problem. We prove that this problem is NP-hard, and solve it by a 2-approximation algorithm.Conclusions
Our experimental results show that our approach can improve the structural correctness of target assemblies in the cost of some contiguity, even with smaller amounts of long reads. In addition, our reassembling process can also serve as a competitive scaffolder relative to well-established assembly benchmarks.4.
Lili Wei Leixi Cao Yanyan Miao Shuju Wu Shumei Xu Ruisheng Wang Jun Du Aihua Liang Yuejun Fu 《Biotechnology letters》2017,39(8):1129-1139
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Background
Activity in populations of neurons often takes the form of assemblies, where specific groups of neurons tend to activate at the same time. However, in calcium imaging data, reliably identifying these assemblies is a challenging problem, and the relative performance of different assembly-detection algorithms is unknown.Results
To test the performance of several recently proposed assembly-detection algorithms, we first generated large surrogate datasets of calcium imaging data with predefined assembly structures and characterised the ability of the algorithms to recover known assemblies. The algorithms we tested are based on independent component analysis (ICA), principal component analysis (Promax), similarity analysis (CORE), singular value decomposition (SVD), graph theory (SGC), and frequent item set mining (FIM-X). When applied to the simulated data and tested against parameters such as array size, number of assemblies, assembly size and overlap, and signal strength, the SGC and ICA algorithms and a modified form of the Promax algorithm performed well, while PCA-Promax and FIM-X did less well, for instance, showing a strong dependence on the size of the neural array. Notably, we identified additional analyses that can improve their importance. Next, we applied the same algorithms to a dataset of activity in the zebrafish optic tectum evoked by simple visual stimuli, and found that the SGC algorithm recovered assemblies closest to the averaged responses.Conclusions
Our findings suggest that the neural assemblies recovered from calcium imaging data can vary considerably with the choice of algorithm, but that some algorithms reliably perform better than others. This suggests that previous results using these algorithms may need to be reevaluated in this light.6.
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Peter A. Larsen R. Alan Harris Yue Liu Shwetha C. Murali C. Ryan Campbell Adam D. Brown Beth A. Sullivan Jennifer Shelton Susan J. Brown Muthuswamy Raveendran Olga Dudchenko Ido Machol Neva C. Durand Muhammad S. Shamim Erez Lieberman Aiden Donna M. Muzny Richard A. Gibbs Anne D. Yoder Jeffrey Rogers Kim C. Worley 《BMC biology》2017,15(1):110
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Alexey А. Moskalev Anna V. Kudryavtseva Alexander S. Graphodatsky Violetta R. Beklemisheva Natalya A. Serdyukova Konstantin V. Krutovsky Ivan V. Kulakovskiy Andrey S. Lando Artem S. Kasianov Dmitry A. Kuzmin Yuliya A. Putintseva Sergey I. Feranchuk Mikhail V. Shaposhnikov Vadim E. Fraifeld Dmitri Toren Anastasia V. Snezhkina Vasily V. Sitnik 《BMC evolutionary biology》2017,17(2):258
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Background
The 26S proteasome is at the heart of the ubiquitin-proteasome system, which is the key cellular pathway for the regulated degradation of proteins and enforcement of protein quality control. The 26S proteasome is an unusually large and complicated protease comprising a 28-subunit core particle (CP) capped by one or two 19-subunit regulatory particles (RP). Multiple activities within the RP process incoming ubiquitinated substrates for eventual degradation by the barrel-shaped CP. The large size and elaborate architecture of the proteasome have made it an exceptional model for understanding mechanistic themes in macromolecular assembly.Objective
In the present work, we highlight the most recent mechanistic insights into proteasome assembly, with particular emphasis on intrinsic and extrinsic factors regulating proteasome biogenesis. We also describe new and exciting questions arising about how proteasome assembly is regulated and deregulated in normal and diseased cells.Methods
A comprehensive literature search using the PubMed search engine was performed, and key findings yielding mechanistic insight into proteasome assembly were included in this review.Results
Key recent studies have revealed that proteasome biogenesis is dependent upon intrinsic features of the subunits themselves as well as extrinsic factors, many of which function as dedicated chaperones.Conclusion
Cells rely on a diverse set of mechanistic strategies to ensure the rapid, efficient, and faithful assembly of proteasomes from their cognate subunits. Importantly, physiological as well as pathological changes to proteasome assembly are emerging as exciting paradigms to alter protein degradation in vivo.15.
Yoann Anselmetti Wandrille Duchemin Eric Tannier Cedric Chauve Sèverine Bérard 《BMC genomics》2018,19(2):96
Background
Genomes rearrangements carry valuable information for phylogenetic inference or the elucidation of molecular mechanisms of adaptation. However, the detection of genome rearrangements is often hampered by current deficiencies in data and methods: Genomes obtained from short sequence reads have generally very fragmented assemblies, and comparing multiple gene orders generally leads to computationally intractable algorithmic questions.Results
We present a computational method, ADseq, which, by combining ancestral gene order reconstruction, comparative scaffolding and de novo scaffolding methods, overcomes these two caveats. ADseq provides simultaneously improved assemblies and ancestral genomes, with statistical supports on all local features. Compared to previous comparative methods, it runs in polynomial time, it samples solutions in a probabilistic space, and it can handle a significantly larger gene complement from the considered extant genomes, with complex histories including gene duplications and losses. We use ADseq to provide improved assemblies and a genome history made of duplications, losses, gene translocations, rearrangements, of 18 complete Anopheles genomes, including several important malaria vectors. We also provide additional support for a differentiated mode of evolution of the sex chromosome and of the autosomes in these mosquito genomes.Conclusions
We demonstrate the method’s ability to improve extant assemblies accurately through a procedure simulating realistic assembly fragmentation. We study a debated issue regarding the phylogeny of the Gambiae complex group of Anopheles genomes in the light of the evolution of chromosomal rearrangements, suggesting that the phylogenetic signal they carry can differ from the phylogenetic signal carried by gene sequences, more prone to introgression.16.
Nguyen Si-Tuan Hua My Ngoc Pham Thi Thu Hang Cuong Nguyen Pham Hung Van Nguyen Thuy Huong 《Annals of clinical microbiology and antimicrobials》2017,16(1):74
Background
Acinetobacter baumannii is an important nosocomial pathogen that can develop multidrug resistance. In this study, we characterized the genome of the A. baumannii strain DMS06669 (isolated from the sputum of a male patient with hospital-acquired pneumonia) and focused on identification of genes relevant to antibiotic resistance.Methods
Whole genome analysis of A. baumannii DMS06669 from hospital-acquired pneumonia patients included de novo assembly; gene prediction; functional annotation to public databases; phylogenetics tree construction and antibiotics genes identification.Results
After sequencing the A. baumannii DMS06669 genome and performing quality control, de novo genome assembly was carried out, producing 24 scaffolds. Public databases were used for gene prediction and functional annotation to construct a phylogenetic tree of the DMS06669 strain with 21 other A. baumannii strains. A total of 18 possible antibiotic resistance genes, conferring resistance to eight distinct classes of antibiotics, were identified. Eight of these genes have not previously been reported to occur in A. baumannii.Conclusions
Our results provide important information regarding mechanisms that may contribute to antibiotic resistance in the DMS06669 strain, and have implications for treatment of patients infected with A. baumannii.17.
Renato de Souza Pinto Lemgruber Kaspar Valgepea Mark P. Hodson Ryan Tappel Sean D. Simpson Michael Köpke Lars K. Nielsen Esteban Marcellin 《Metabolomics : Official journal of the Metabolomic Society》2018,14(3):35
Introduction
Quantification of tetrahydrofolates (THFs), important metabolites in the Wood–Ljungdahl pathway (WLP) of acetogens, is challenging given their sensitivity to oxygen.Objective
To develop a simple anaerobic protocol to enable reliable THFs quantification from bioreactors.Methods
Anaerobic cultures were mixed with anaerobic acetonitrile for extraction. Targeted LC–MS/MS was used for quantification.Results
Tetrahydrofolates can only be quantified if sampled anaerobically. THF levels showed a strong correlation to acetyl-CoA, the end product of the WLP.Conclusion
Our method is useful for relative quantification of THFs across different growth conditions. Absolute quantification of THFs requires the use of labelled standards.18.
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