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https://singlecell.broadinstitute.org/single_cell
Portal specializes in visualizing and disseminating single cell data. Allows you to use natural language and faceted search to discover other scientists’ research and share your own findings. Each study includes information on cell types, singular or multiple gene expression, and spatial transcriptomics. Interactive visualizations allow to explore cell clusters and search for related genes.
Proper citation: Single Cell Portal (RRID:SCR_014816) Copy
http://www.broadinstitute.org/gsea/
Software package for interpreting gene expression data. Used for interpretation of a large-scale experiment by identifying pathways and processes.
Proper citation: Gene Set Enrichment Analysis (RRID:SCR_003199) Copy
http://www.broadinstitute.org/software/pathseq/
A computational tool for the identification and analysis of microbial sequences in high-throughput human sequencing data that is designed to work with large numbers of sequencing reads in a scalable manner. This process is composed of a subtractive phase in which input reads are subtracted by alignment to human reference sequences, and an analytic phase in which the remaining reads are aligned to microbial reference sequences (viral, fungal, bacterial, archaeal) and de novo assembled. PathSeq is currently available in a cloud computing environment via Amazon Web Services The typical approach one would take to pathogen discovery with PathSeq: RNA or DNA is extracted from the tissue of interest and sequencing libraries are constructed to be run on the next-generation DNA sequencing platform of choice. The resulting sequence data is run through the PathSeq pipeline in a cloud computing environment. PathSeq reports potential microbes in the sequence data as well as the complete set of reads that could not be identified as human or microbial sequences.
Proper citation: PathSeq (RRID:SCR_005203) Copy
http://software.broadinstitute.org/gsea/msigdb/index.jsp
Collection of annotated gene sets for use with Gene Set Enrichment Analysis (GSEA) software.
Proper citation: Molecular Signatures Database (RRID:SCR_016863) Copy
https://portals.broadinstitute.org/gppx/crispick/public
Web tool for prediction of sgRNAs. Helps to select optimal guide RNA for gene of interest. Support for designing guide libraries. CRISPick ranks and picks candidate CRISPRko sgRNA sequences for targets provided, while attempting to maximize on-target activity and minimizing off-target activity.
Proper citation: CRISPick (RRID:SCR_025148) Copy
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
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