We provide NGS and PacBio Long-Read Sequencing computational analysis services. The BiNGS staff advises on experimental design and protocols, performs data analysis, and assists in data interpretation, integration, and visualization. We encourage you to contact us at the planning stage so we could advise on best practices. We asked that our work be acknowledged in publications and presentations supported by BiNGS. Please also consider including our bioinformaticians in the authors list in cases where they contributed significantly.
Transcriptomics
• Bulk RNA-seq (WGCNA)
• Alternative Splicing Analysis
• TE analysis
• Alternative Promoter Analysis
• BCR-seq
• Integration with public datasets (e.g., TCGA)
• miRNA-seq
Epigenomics
• ChIP-seq
• Bulk ATAC-seq
• Cut&Run and Cut&Tag
• HiC/HiChIP/Micro-C
• Integration with public datasets
(ENCODE)
• DNA methylation
Single Cell
• scRNA-seq
• snATAC-seq
• snMultiome
• snCut&Tag (Paired tag with snRNA-seq)
• CITE-seq
• Spatial Transcriptomics (Visium HD)
• scTCR-seq
• Got-ChA
Genomics
• WES
• WGS
• Ultra Low Pass WGS
• CRISPR screens
• Oncomine-seq
PacBio long-read
• Iso-seq
• Fiber-seq
• DAF-seq
• MAS-seq
To acknowledge our work and the MSSM computational infrastructure please include the following statement:
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The development of the Bioinformatics for Next Generation Sequencing (BiNGS) Shared Resource is partially supported by the NCI P30 (P30CA196521) Cancer Center support grant. This work was also supported in part through the Minerva computational and data resources and staff expertise provided by Scientific Computing and Data at the Icahn School of Medicine at Mount Sinai and supported by the Clinical and Translational Science Awards (CTSA) grant UL1TR004419 from the National Center for Advancing Translational Sciences. Research reported in this publication was also supported by the Office of Research Infrastructure of the National Institutes of Health under award number S10OD030463.
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For SBDRC supported work, please add: the ISMMS Skin Biology and Disease Resource-based Center NIAMS P30 support grant (AR079200).