Curator Dashboard

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• 10 months ago - submitted by Kyriaki-Barbara Papalois

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• 10 months ago - submitted by Kyriaki-Barbara Papalois

cloud-based flow cytometry analysis platform bridging machine learning and analytical pipelines with classical analysis

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• 10 months ago - submitted by Meg Goswami

A Probabilistic Genome Simulator for Non-uniform Simple, Canonical, and Complex Structural Variations to Facilitate Benchmarking

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• 10 months ago - submitted by Zhen Zhang

for RNA, miRNA extraction

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• 10 months ago - submitted by Fatemeh VandRajabpour

eNRSA is an enhanced version of NRSA for analyzing nascent transcription profiles generated by PRO-seq, GRO-seq, (m)NET-seq, and Butt-seq data.

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• 10 months ago - submitted by huachang chen

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• 10 months ago - submitted by Moira Sheehan

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• 10 months ago - submitted by Moira Sheehan

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• 10 months ago - submitted by Moira Sheehan

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• 10 months ago - submitted by Moira Sheehan

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• 10 months ago - submitted by Moira Sheehan

Blueberry_DArTag_BI_Cornell_University 1.0 is a DArTag genotyping panel version 1 for blueberry targeting 3000 loci. DArTag assay uses custom designed oligos to amplify targeted SNPs, and their flanking sequences, prior to NGS sequencing. The sequenced amplicons are demultiplexed and targeted SNPs/haplotypes are analysed using DArT P/L’s proprietary pipeline (https://www.diversityarrays.com/services/targeted-genotying/). The markers were selected from a diverse set of 31 cultivated blueberry SHB and NHB parents and founders from North American breeding programs. The panel is suitable for genotyping tetraploid blueberry for breeding decisions and selection. Usage of the panel for hexaploid blueberry (i.e., Rabbit Eye) and diploid cranberry resulted in higher missing data and fewer polymorphic data points. Usage of the panel outside of Vaccinium corymbosum is likely to result in higher missing data and fewer data points. Panel developed in collaboration between DArT and Breeding Insight at Cornell University.

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• 10 months ago - submitted by Moira Sheehan

Alfalfa_DArTag_BI_Cornell_University 1.0 is an alfalfa DArTag genotyping panel of 3000 loci. DArTag assay uses custom designed oligos to amplify targeted SNPs, and their flanking sequences, prior to NGS sequencing. The sequenced amplicons are demultiplexed and targeted SNPs/haplotypes are analysed using DArT P/L’s proprietary pipeline (https://www.diversityarrays.com/services/targeted-genotying/). The markers were selected from a diverse set of 40 cultivated alfalfa parents and founders from North American breeding programs. The panel is suitable for genotyping tetraploid alfalfa for breeding decisions and selection. Usage of the panel on diploid Medicago was tested and resulted in higher missing data and fewer polymorphic data points. Usage of the panel outside of Medicago sativa is likely to result in higher missing data and fewer data points. Panel developed in collaboration between DArT and Breeding Insight at Cornell University.

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• 10 months ago - submitted by Moira Sheehan

The aldosterone reagent, produced by Mindray (Shenzhen, China), employs Single Epitope Meta-Sandwich chemiluminescence technology for the in vitro determination of aldosterone levels in human serum or plasma.

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• 10 months ago - submitted by Eric Lin

Vevo LAB offers basic and advanced tools for visualizing, quantifying and characterizing disease progression from ultrasound images obtained on a Vevo system

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• 11 months ago - submitted by Nahla Ibrahim

GEfetch2R is an R package dedicated to facilitating researchers to access and explore existing scRNA-seq data from various public repositories. As a data downloader, GEfetch2R supports downloading the most diverse scRNA-seq data types, including raw data (SRA and ENA), count matrices (GEO, UCSC Cell Browser, and PanglaoDB), and processed objects (Zenodo, CELLxGENE, and HCA). Besides the data download ability, GEfetch2R can process the downloaded data, load output/downloaded count matrices and annotations to R (SeuratObject/DESeqDataSet), extract a subset of the SeuratObject based on cell metadata and genes, and merge multiple SeuratObjects if applicable. Furthermore, to enable the integration of scRNA-seq data and the interoperability between different analysis tools, GEfetch2R provides the most comprehensive format conversions between different scRNA-seq objects, including SeuratObject, AnnData, SingleCellExperiment, CellDataSet/cell_data_set, and loom. In particular, GEfetch2R benchmarks the format conversion tools for converting between SeuratObject/SingleCellExperiment and AnnData. In addition to fetching scRNA-seq data, GEfetch2R can also be used to download raw data (SRA and ENA) and count matrices (GEO) of bulk RNA-seq, process the downloaded data, and load output/downloaded count matrices to R (DESeqDataSet).

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• 11 months ago - submitted by Yabing Song

vicky test Viničná 3

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• 11 months ago - submitted by Vicky Guo

vicky test Viničná 3

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• 11 months ago - submitted by Vicky Guo

vicky test Viničná 2

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• 11 months ago - submitted by Vicky Guo

vicky test Viničná

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• dkNET
• 11 months ago - submitted by Vicky Guo