Daniel Schreyer

Bioinformatician

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About Me!

I am a Bioinformatician with a passion for oncology and other fields of human diseases. My background is in Biology, and I entered the field of Bioinformatics through hard work and dedication. I am eager to apply my knowledge in the industry.

I am constantly striving to expand my knowledge of programming languages, bioinformatic algorithms, and statistical models, as the Bioinformatics field is vast and my love for it is almost endless. There is always something wonderful to discover.

This website-resume details my experiences, skills, and projects. I hope you enjoy this journey through my life as a Bioinformatician.

Details

Name

Daniel Schreyer

Age

28

Address

Erlangen, Germany

Skills



  • R
  • Python
  • Nextflow
  • Bash
  • sql
  • HTMLCSSJAVASCRIPTPerlBiopythonBioconductor
  • R-Shiny
  • Deep Learning
  • containerisation
  • git
  • AWS
  • HPCJupyter NotebookCondaTensorflowDockerSingularity
  • Genomics
  • Transcriptomics
  • Single-cell
  • epigenomics
  • metabolomics
  • WGSWESRNA-seqscRNA-seqATAC-seqNanopore

Experiences

Projects



nf-core/circdna

Best-practice nextflow pipeline for the identification of extrachromosomal circular DNAs from high-throughput biological data.

Pancreatic Cancer Gene Analysis

The Pancreatic Cancer Gene Analysis provides visualization and analysis of large-scale pancreatic cancer transcriptomic data sets and integration with related information and clinical data.

Reddit Wallpaper Scraper

Downloads images from an individual subreddit into a specific directory. Optimal for downloading wallpapers.

A scRNA-seq Processing Pipeline

A bash-written pipeline processing scRNA-seq data and generating usable output for downstream analysis.

Data analysis for Science

Bioinformatics analysis of biological high-throughput data to test scientific hypothesis.

Deep Learning Projects

Several projects using deep learning algorithms in Python to classify images or to write novel text.

My Website

This website has been created using html, css, and javascript to visualise my experiences and my strengths.

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