Searching journal content for articles similar to Le Bouder-Langevin et al. 12 (12): 1961.

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  1. ...microbes as unimportant: Many pathogens are rare and can be detected at low levels using PCRbased assays in clinically relevant settings. Thus, the appropriate trade-off between depth of coverage and number of samples is likely to vary depending on the goal of the study. It is likely that the frequent...
  2. ...regions (Fig. 4E). To further analyze these DEGs, we consulted the Gene Ontology (GO) database (https://geneontology.org/) for gene sets associated with limb and spine development. Key GO terms, including those related to limb development (GO:0060173) and spine development (GO:0060996), were retrieved...
  3. ...and machine learning, we developed models for predicting alternative TISs in the tomato (Solanum lycopersicum). Distinct feature sets were predictive of AUG and nonAUG TISs in 5′ untranslated regions and coding sequences, including a novel CU-rich sequence that promoted plant TIS activity, a translational...
  4. ...assessment. At the protein level, SynMall adopts an advanced model capable of extracting rich structural information from standalone protein sequences.To demonstrate the utility of the feature module, we analyze a curated data set (Supplemental Methods) using extracted DNA, RNA, and protein features. We...
  5. ..., there are different databases available incorporating the identification of potential G4 DNA-forming sequences in different organisms; however, all available data sets cover a small number of species or taxa. Zhong et al. (2023) constructed G4Bank, a G4 database containing 6 million G4s across 13 species (Zhong et al...
  6. ...; Miyauchi et al. 2020) have demonstrated that high TE content and a reduced set of plant cell wall–degrading enzymes are recurring genomic features among ECM fungi. As all known Tuberaceae species exhibit an ECM lifestyle (Bonito and Smith 2016), this family represents a valuable model for investigating...
  7. ...-based approach (Guo et al. 2018). In addition, specific methods such as StrSpy leverage TRs’ high variability between individuals for forensic applications by targeting only a small set of TRs (Hall et al. 2022). A significant challenge in TR detection lies in the inconsistent definition of repeat units across...
  8. ...and is able to aggregate heterogeneous information in both prokaryote and eukaryote data sets. AuCoMe combines metabolic network reconstruction, propagation, and verification of annotations. The method automatizes the strategy of transferring information from the annotations of the s and complements...
  9. ...of “complete metagenomics” by enabling complete or nearly complete assemblies of hundreds of MAGs from a single HiFi data set (Kolmogorov et al. 2020; Bickhart et al. 2022; Kim et al. 2022). This shift allows fundamentally new possibilities in the analysis of metas.Identifying rare mutations in metagenomic...
  10. ...ORFs and the ORFs that they detected, we found that 64 ORFs were common to the two data sets (Supplemental Table S27), all of them being shared by several lines. As we show in this manuscript, most neORFs are line specific. This result suggests that most line-specific neORFs are not yet widely translated. Another...
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