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  • Francis Crick Institute
  • London
  • 13:35 (UTC -12:00)
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AkramMendez/README.md

Hi there đź‘‹

Akram Mendez, PhD

Computational Biology | Bioinformatics | Data Science

  • I have over 8 years of experience delivering Bioinformatics, Statistical analysis and Data visualization results in academia and industry.
  • I am a Computational Biologist working on genomics, transcriptomics and epigenomics.
  • I have worked on Cancer biology, Personalised medicine and Systems biology projects.
  • Hands-on experience in the analysis of next-generation sequencing data (NGS): RNA-seq, m6A-RIP, ChIP-seq, WGS, and Oxford Nanopore long-reads.
  • Scripting in R, Bash, Python, Awk, NextFlow.
  • Implementation of workflows in AWS and HPC systems.
  • Good coding practices and version control with GitHub.

Experience

Websites

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  1. custom_scripts custom_scripts Public

    General repository with custom scripts for data processing, bioinformatic workflows and downstream analysis

    HTML 7 1

  2. m6a_sarscov2 m6a_sarscov2 Public

    Source code and analysis repository used in "Global loss of cellular m6A RNA methylation following infection with different SARS-CoV-2 variants"

    R

  3. SQUADProject SQUADProject Public

    Forked from caramirezal/SQUADBookChapter

    Dynamic network models has been used in biological contexts to represent complex regulatory interactions between molecules. Discrete Boolean methods are often used as a first modeling approximation…

    Jupyter Notebook

  4. data-science-ipython-notebooks data-science-ipython-notebooks Public

    Forked from donnemartin/data-science-ipython-notebooks

    Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

    Python