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https://nyumc.ilab.agilent.com/service_center/4273

Core offers services for researchers who want to apply advanced molecular genetic techniques in rodent models of physiology and disease. Provides expertise in generating novel mutant and transgenic mouse strains using genome engineering in mouse embryos and in embryonic stem cells (ESCs). Available technologies include:Generation of genome-edited mice by embryo pronuclear microinjection of DNA and genome editors (e.g., CRISPR/Cas9, site-specific recombinases) or traditional BAC transgenesis;Generation of genome-edited mice from mouse embryonic stem cells (mESCs) by chimeric blastocyst injection;Generation of genome-edited mice from mESCs by tetraploid blastocyst injection; Generation of mice from induced pluripotent stem cells;Assisted reproductive technologies; Sperm and embryo cryopreservation, storage and import/export;in vitro fertilization (IVF); Embryo rederivation technologies for animal import into barrier vivaria through quarantine.

Proper citation: NYU Langone’s Advanced Rodent Transgenics Laboratory ART-Lab Core Facility (RRID:SCR_017692) Copy   

•   Source: SciCrunch Registry

https://github.com/hariszaf/pema

Software as flexible pipeline for environmental DNA metabarcoding analysis of 16S/18S rRNA, ITS and COI marker genes. Performs reads’ pre-processing, clustering to (M)OTUs and taxonomy assignment for 16S rRNA and COI marker gene data. Allows users to explore alternative algorithms for specific steps of pipeline without need of complete re-execution.

Proper citation: PEMA (RRID:SCR_017676) Copy   

•   Source: SciCrunch Registry

https://github.com/shanglicheng/BootstrappingWithoutReplacement

Software tool to dig out more robust and reliable differentially expressed genes between two groups. Samples from different groups will be re-sampled randomly associated with total number of samples.

Proper citation: BootstrappingWithoutReplacement (RRID:SCR_017673) Copy   

•   Source: SciCrunch Registry

http://microc.org

Software tool to model genotypes in their microenvironment and to predict single- and multi-cellular behaviour. A 3D virtual microenvironment for perturbation biology., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: microC (RRID:SCR_016672) Copy   

•   Source: SciCrunch Registry

https://www.omicsnet.ca/

Web based tool to create different types of molecular interaction networks and visually explore them in a three-dimensional (3D) space (genes/proteins, microRNAs, transcription factors or metabolites).

Proper citation: OmicsNet (RRID:SCR_016724) Copy   

•   Source: SciCrunch Registry

https://bioinformatics.niaid.nih.gov/netcirchro/

Software interactive tool for visualizing and analyzing network data in the spatial context of the chromosome. Used to discover the role of gene organization in functional regulatory networks. Plugin enables users of Cytoscape to overlay networks onto a circular chromosomal map.

Proper citation: NetCirChro (RRID:SCR_016616) Copy   

•   Source: SciCrunch Registry

https://github.com/hakyimlab/PrediXcan

Software tool to detect known and novel genes associated with disease traits and provide insights into the mechanism of these associations. Used to test the molecular mechanisms through which genetic variation affects phenotype.

Proper citation: PrediXcan (RRID:SCR_016739) Copy   

•   Source: SciCrunch Registry

http://metascape.org/gp/index.html#/main/step1

Web service to analyze gene or protein lists. Provides automated meta analysis tools to understand pathways within a group of orthogonal target-discovery studies.

Proper citation: Metascape (RRID:SCR_016620) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/release/bioc/html/scran.html

Software package for low-level analyses of single-cell RNA-seq data. Used for quality control, data exploration and normalization, cell cycle phase assignment, identification of highly variable and correlated genes, clustering into subpopulations and marker gene detection.

Proper citation: scran (RRID:SCR_016944) Copy   

•   Source: SciCrunch Registry

https://github.com/ehodzic/cd-CAP

Software designed for simultaneous detection of connected subnetworks of an interaction network where genes exhibit conserved alteration patterns across tumor samples.

Proper citation: cd-CAP software (RRID:SCR_016843) Copy   

•   Source: SciCrunch Registry

https://www.networkanalyst.ca/

Web tool for gene expression profiling, meta-analysis and systems understanding. Used for statistical, visual and network-based meta-analysis of gene expression data.

Proper citation: NetworkAnalyst (RRID:SCR_016909) Copy   

•   Source: SciCrunch Registry

https://sourceforge.net/projects/jtreeview/

Software as a cross platform gene expression visualization tool. Extensible viewer for microarray data in the PCL or CDT format. Interactive display of clustered gene expression data. Java application for visualizing large data matrices. It can load a dataset, cluster it, browse it, customize its appearance and export it into a figure.

Proper citation: Java Treeview (RRID:SCR_016916) Copy   

•   Source: SciCrunch Registry

https://pachterlab.github.io/sleuth/about

Software tool for analysis of RNA-Seq experiments for which transcript abundances have been quantified with kallisto. Used for the differential analysis of gene expression data that utilizes bootstrapping in conjunction with response error linear modeling to decouple biological variance from inferential variance.

Proper citation: sleuth (RRID:SCR_016883) Copy   

•   Source: SciCrunch Registry

http://www.bx.psu.edu/~giardine/vision/

International project to analyze mouse and human hematopoiesis, and provide a tractable system with clear clinical significance and importance to NIDDK. Collection of information from the flood of epigenomic data on hematopoietic cells as catalogs of validated regulatory modules, quantitative models for gene regulation, and a guide for translation of research insights from mouse to human.

Proper citation: ValIdated Systematic IntegratiON of epigenomic data (RRID:SCR_016921) Copy   

•   Source: SciCrunch Registry

https://github.com/flo-compbio/xlmhg

Software Python package as a semiparametric test for enrichment in ranked lists. Used for determining gene set enrichment.

Proper citation: XL-mHG (RRID:SCR_016846) Copy   

•   Source: SciCrunch Registry

http://biotecnun.unav.es:8080/app/TranscriptAchilles

Software genome-wide tool to predict transcript biomarkers of gene essentiality in cancer. This tool can be used to predict new potential target genes with their corresponding biomarkers (either transcript or gene expression).

Proper citation: TranscriptAchilles (RRID:SCR_016849) Copy   

•   Source: SciCrunch Registry

https://github.com/maypoleflyn/BSATOS

Software tools for next generation sequencing based bulked segregation analysis for outbreeding species including fruit trees such as apple or cirtus. Used to improve gene mapping efficiency of next generation sequencing based segregant analysis in outbreeding species and realize rapid candidate gene mining based on multi-omics data.

Proper citation: Bulked segregation analysis tools for outbreeding species (RRID:SCR_017009) Copy   

•   Source: SciCrunch Registry

http://portal.brain-map.org/

Portal provides access to data and web based applications created for benefit of global research community by Allen Institute for Brain Science. Projects to ombine genomics with neuroanatomy by creating gene expression maps for mouse and human brain. Mouse Brain Atlas, Human Brain Atlas, Developing Mouse Brain Atlas, Developing Human Brain Atlas, Mouse Connectivity Atlas, Non-Human Primate Atlas, and Mouse Spinal Cord Atlas and three related projects Glioblastoma, Mouse Diversity, and Sleep data banks, are used to advance various fields of science especially in neurobiological diseases.

Proper citation: Allen Brain Atlas (RRID:SCR_017001) Copy   

•   Source: SciCrunch Registry

https://github.com/KhiabanianLab/TuBA

Software tool as graph based unsupervised biclustering algorithm to identify alterations in tumors based on hypothesis that gene pairs relevant to clinical process share statistically significant number of samples with extreme expression.

Proper citation: Tunable Biclustering Algorithm (RRID:SCR_017121) Copy   

•   Source: SciCrunch Registry

http://pklab.med.harvard.edu/scde/pagoda.links.html

Software tool for analyzing transcriptional heterogeneity to detect statistically significant ways in which measured cells can be classified. Used to resolve multiple, potentially overlapping aspects of transcriptional heterogeneity by testing gene sets for coordinated variability among measured cells.

Proper citation: PAGODA (RRID:SCR_017099) Copy   

•   Source: SciCrunch Registry