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Iron is essential to fulfilling an indispensable role in the biological process in human physiology. Various proteins were known involved in iron metabolism. One of the proteins called iron-responsive element binding protein (IRP) which acts as master iron of cellular iron homeostasis. There are two IRP known to date, which is: IRP1 and IRP2. Previous studies showed IRP bind to iron-responsive elements (IRE) located in 5’-UTR of the transferrin receptor 1. The interaction of IRP/IRE is well studied through many years to find a better treatment for the cellular disorder in iron metabolism. However, the structural differences of both IRP and the binding prediction model of IRP/IRE remain unclear. This dataset provides structure predictions of IRP/IRE by using reliable bioinformatics tools .
Data Types:
  • Sequencing Data
  • Dataset
  • Document
  • Text
Sequence-based genotyping of a Cystoisospora species infecting a captive jaguar cub based on the mitochondrial cytochrome c oxidase subunit I. Primer Info - Primers were originally described here: https://doi.org/10.1017/pao.2015.7. JPEG - Amplicon sequencing of PCR product aligned to reference Cystoisospora felis sequence (GenBank KT184386) - 100% identity. FASTA - Conseq from ABI reads (not submitted to GenBank) - 100% pairwise identity to Cystoisospora felis sequence (GenBank KT184386) from domestic cat.
Data Types:
  • Image
  • Sequencing Data
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A differential fluorescence induction screening was performed in order to identify genes of Salmonella Typhimurium SL1344 that respond to conditions of high bacterial competition. This dataset contains the sequences of all positives hits after two rounds of positive and one round of negative selection. Description of the methods and experimental details of the DFI screening can be found at: Lories et al. (2020). Biofilm bacteria use stress responses to detect and respond to competitors. Current Biology.
Data Types:
  • Sequencing Data
  • Dataset
The dataset contains demagnetization data and least squares analyses data for samples of the Klipriviersberg Group (as .sam and .lsq format).
Data Types:
  • Other
  • Sequencing Data
  • Tabular Data
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NGS data for primary WT as wells as primary and immortalized RDEB keratinocytes treated with frameshift CRISPR gRNAs. gRNA with precise and predictable repair outcome (+1 nucleotide insertion).
Data Types:
  • Sequencing Data
  • Dataset
This project produced the complete chloroplast genome for Astelia australiana. It contains the circular annotated cpDNA sequence and the CDS-based alignment used to generate the phylogeny.
Data Types:
  • Software/Code
  • Sequencing Data
  • Dataset
Dataset contains four files and one folder. ·Folder sequencing: contains all the raw sequencing data, already demultiplexed. ·file community4: contains all the fungal community in each soil sample. Numbers represent read numbers ·env: contains the environmental data ·guilds2: contains the fungal community according to their guilds. Numbers represent percentages ·identifications_guilds_and__calculations: contains all the fungal identifications and the functional assignments to each OTU.
Data Types:
  • Sequencing Data
  • Tabular Data
  • Dataset
Manual drilling offers a practical and affordable method of increasing access to groundwater supply in regions struggling with economic water scarcity. However, manual techniques are limited to specific hydrogeological contexts and must be sited appropriately. Indicator kriging is proposed as an interpolation method that builds upon previous efforts to identify suitable zones for manual drilling, particularly in weathered crystalline basement aquifers. This approach allows for heterogeneity within weathering profiles and provides probability mapping of success for regional planning. Modeling was conducted in the Upper East Region of Ghana using available borehole-log data, including: transmissivity, static water depth, laterite thickness, depth to hard rock, water quality parameters, and the degree of weathering. Indicator kriging interpolations predicted binary variables with over 90% accuracy. The model predicts that drilling into highly weathered layers will be common, and percussion techniques will be necessary to reach sufficient depths. The results suggest that suitable zones occur near Bolgatanga, Bawku, and Zebila, which coincide with historical drilling efforts in the central and eastern portions of the region. The original dataset was derived from the Hydrogeological Assessment of the Northern Regions of Ghana Project (HAP) implemented by SNC-Lavalin, Institut national de Recherche Scientifique (INRS) and the Water Resources Comission (WRC) of Ghana, and was supported by the Canadian International Development Agency. Hydrogeological data was collected and aggregated for the Voltaian Sedimentary Basin and Precambrian Basement complexes in Ghana from numerous sources. The data was compiled into a GIS databased for further study and analysis of the groundwater resources in Ghana. For this study, the dataset was obtained from the University of Ghana upon request with a focus on manual drilling feasibility. Borehole records were manipulated with various interpolation methods within the Upper East Region in ArcGIS, as described within the journal article.
Data Types:
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  • Software/Code
  • Geospatial Data
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Bacterial OTUs found associated to the shell of Cancer pagurus. OTUs were calculated based on samples from the accession PRJEB27139 in ENA. Provided is the OTUs.fasta for sequence information and the associated assignments in Assignments.txt.
Data Types:
  • Sequencing Data
  • Dataset
  • Text
more and more research are used new technique to investigate bacterial community of silage, such as next generation sequencing. This study aimed to evaluate the effects of enzymes (cellulase combined with alpha-galactosidase), Lactobacillus plantarum (LP), and combinations of these enzymes with LP on the bacterial diversity and fermentation quality of alfalfa silage. Three repetitions for each treated were evaluated by ensiling for 56 days: (1) control with no additives; (2) treated with enzyme (a mix of cellulase and alpha-galactosidase) (EN), 2.5g/kg forgae of each enzyme; (3) 1 ×1 ×107 CFU/g LP; (4) 2.5g/kg forgae of EN combined with 1 ×107 CFU/g LP (CENLP). Illumina sequencing was used to reveal the bacterial community of these silage. As revealed by data, treatment of the silage significantly changed the bacterial community, as determined by the PCoA test. At the class level, Bacilli and Clostridia were predominant in the untreated silage, with abundances of 51.21% and 37.08%, respectively, while only Bacilli dominated the bacterial communities of all the treated silages, with an abundance of 94.98% in the EN silage, 98.61% in the LP silage, 98.57% in the ENLP silage. Gammaproteobacteria were present in all the silages. At the genus level, Garciella, Enterococcus, Lactobacillus and Pediococcus were predominant in the control silage, while Lactobacillus and Pediococcus were predominant in the EN silage, and Lactobacillus was predominant in the LP, ENLP silages. As showed below, 1_1 to 1_3 represent three samples of each treated silage. 1_1 to 1_3 represent control silage, 2_1 to 2_3 represent EN silage, 3_1 to 3_3 represent LP silage, 4_1 to 4_3 represent ENLP silage.
Data Types:
  • Sequencing Data
  • Dataset
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