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bibymaths/README.md

Hi there, I'm Abhinav! 👋

I’m a bioinformatics wizard 🧙‍♂️ who loves to mix science, code, and a sprinkle of chaos to tackle big questions in biology. From cancer research 🧬 to dopamine pathways 🧠, my journey has been as dynamic as the proteins I model!

Who Am I? 🤔

  • 🔬 Bioinformatics Mastermind: Freshly brewed from Freie Universität Berlin, with a knack for modeling, optimization, and systems biology.
  • 🧑‍💻 Code Alchemist: Turning ideas into elegant Python scripts, magical Julia code, and sometimes deciphering Bash spells.
  • 🌱 Lifelong Learner: Currently exploring Julia and PKPD models, because science never sleeps (and neither do I after a good coffee ☕).

Fun Facts About Me 😎

  • 🎸 When I’m not cracking biological puzzles, you’ll find me strumming my ukulele or debating philosophy.
  • 🌌 A proud believer that data is the closest thing we have to the Force in real life. May the p-value be ever in your favor!
  • 🧩 My favorite pastime? Making sense of messy datasets. It’s like solving a Rubik’s cube, but nerdier.

My Superpowers 🦸‍♂️

  • 🧪 Bioinformatics Sorcery: High-throughput data analysis, omics, machine learning, and more buzzwords than you can count!
  • 💻 Languages Spoken: Julia, Python, R, Bash, Perl (also fluent in sarcasm).
  • 🎯 Tools in My Arsenal: GATK, Samtools, BAMtools, LaTeX, and a bottomless pit of curiosity.

Skills & Technologies

  • Languages: Julia, Python, R, Bash, Perl
  • Tools: Samtools, BAMtools, GATK, Conda, LaTeX
  • Specializations: High-throughput data analysis, omics analysis, comparative genomics, machine learning, applied statistics, drug discovery, and data visualization.

Get in Touch

Publications


💡 Feel free to check out my repositories and collaborate on exciting projects in bioinformatics and computational biology! 🎉 Let’s collaborate, innovate, and turn science fiction into science reality! Feel free to poke around my repos or say hi—I don’t byte (pun intended)!

Pinned Loading

  1. liver_prediction liver_prediction Public

    Forked from koehlek99/LIHC-project

    Predicting Clinical Outcomes of LIHC patients based on transcriptomic and epigenetics datasets

    Jupyter Notebook

  2. sars_genome_assembly sars_genome_assembly Public

    A complete pipeline for assembling and analyzing the SARS-CoV-2 genome from Illumina paired-end reads, featuring quality control, mapping, variant calling, consensus sequence generation, lineage an…

    Shell

  3. pattern_fasta pattern_fasta Public

    A Perl script to match marker sequences. Supports efficient file handling and regex-based searches, with benchmarking for memory and runtime performance.

    Perl

  4. codonanalyzer codonanalyzer Public

    A collection of Perl scripts for analyzing DNA and protein sequences, featuring tools for rare codon detection, GC content profiling, and hydropathy plotting, optimized for Escherichia coli datasets.

    Perl

  5. perl_snippets perl_snippets Public

    A collection of Perl scripts for solving bioinformatics problems and algorithmic challenges, including sequence analysis, alignment, and DNA assembly.

    Perl

  6. python_snippets python_snippets Public

    A collection of Python scripts for bioinformatics data analysis, including tools for transcription counts, nucleotide composition, and protein sequence evaluation.

    Python