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Englander Institute for Precision Medicine's Projects

ai-biopsy icon ai-biopsy

Biopsy-free prediction of prostate cancer aggressiveness using deep learning and radiology imaging

bioinformatics icon bioinformatics

Tool including several common bioinformatics software applications

bowtie2 icon bowtie2

A fast and sensitive gapped read aligner

cnn-smoothie icon cnn-smoothie

Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images

dgvar icon dgvar

Screening deleterious germline variants (DGVs) in WCM UC cohort

ervmap icon ervmap

ERVmap is one part curated database of human proviral ERV loci and one part a stringent algorithm to determine which ERVs are transcribed in their RNA seq data.

omero-server-docker icon omero-server-docker

EIPM fork of OMERO.server production docker image, with OMERO.dropbox support added.

paper_trail icon paper_trail

Track changes to your models' data. Good for auditing or versioning.

picard icon picard

A set of command line tools (in Java) for manipulating high-throughput sequencing (HTS) data and formats such as SAM/BAM/CRAM and VCF.

pmkb-bot icon pmkb-bot

PMKB bot for the Precision Medicine Knowledge Base using Microsoft Bot Framework.

salmonte icon salmonte

SalmonTE is an ultra-Fast and Scalable Quantification Pipeline of Transpose Element (TE) Abundances

stork icon stork

Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization

stork-v icon stork-v

This project aims to enhance the assessment of fertilized human embryos, a critical step in the process of in vitro fertilization (VF). The research paper behind this project introduced BELA, the Blastocyst Evaluation Learning Algorithm, a novel model for embryo ploidy status prediction.

strides icon strides

Supporting the Azure + NIH STRIDES initiative

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