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@nf-core @Meshinchi-Lab @RSC-RP

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jennylsmith/README.md

Computational biologist applying methods in data science to biomedical and translational research at Ospedale Pediatrico Bambino Gesù.

Expertise of over 9 years in genomics and next generation sequencing (NGS) data.


Bambino Gesù Logo Seattle Children's logo Fred Hutch logo

Bambino Gesu, Seattle Children's, Fred Hutch




Associated Code Repositories

Most of my work lives in two organization accounts:

Meshinchi-Lab — Pediatric cancer genomics at Ospedale Pediatrico Bambino Gesù and Fred Hutch: pediatric AML, T-ALL, and rhabdomyosarcoma. Bulk and single-cell RNA-seq, gene fusion detection, Oxford Nanopore long-read WGS and structural variant calling, and immunotherapy target discovery. Active project repositories are private; the pipelines, packages, and templates below are public.

RSC-RP — Research Scientific Computing at Seattle Children's: shared Nextflow pipelines, HPC and cloud infrastructure, and analysis support spanning pediatric leukemia (ALL), developmental biology in iPSC-derived motor neurons, and infectious disease (Plasmodium falciparum). Code repositories for internal SCRI analytical work were hosted on a private organizational Bitbucket.

Selected Work

Pipelines and workflows — Nextflow and WDL, on Slurm HPC and AWS

R packages

  • DeGSEA — Associating clinical data with transcriptome sequencing data
  • fusBreakpoint — Sequence search in BAM files with Bioconductor

Analysis

Reproducibility and standards



Contact Info

Pinned Loading

  1. RSC-RP/cutandrun_nf RSC-RP/cutandrun_nf Public

    Cut&Run Alignment, QC, and Peak Calling Pipeline

    Nextflow 1

  2. RSC-RP/bulk_rnaseq_fusion_nf RSC-RP/bulk_rnaseq_fusion_nf Public

    Jupyter Notebook 2

  3. Meshinchi-Lab/DeGSEA Meshinchi-Lab/DeGSEA Public

    R package for associating clinical data with transcriptome sequencing data

    R 1

  4. Meshinchi-Lab/contributing_guidelines Meshinchi-Lab/contributing_guidelines Public

    Documentation for creating, maintaining, and contributing to the Meshinchi and Locatelli Lab's software and data analysis pipelines.

    R

  5. NCBI-Hackathons/ConsensusML NCBI-Hackathons/ConsensusML Public

    Machine Learning to Detect Cancer Biomarkers from RNAseq Data

    HTML 36 24

  6. mack_d_2023.04.13_iPSC_neuromuscular_scRNAseq mack_d_2023.04.13_iPSC_neuromuscular_scRNAseq Public

    Time-course analysis of scRNA-seq from iPSC motor neurons.

    R