gene-expression-analysis

There are 11 repositories under gene-expression-analysis topic.

  • snakemake-workflows/rna-seq-star-deseq2

    RNA-seq workflow using STAR and DESeq2

    Language:Python3311239205

  • sivkri/small-RNA-Seq-Analysis

    scripts and resources for performing miRNA sequencing analysis using tools like mirPRo and miRDeep2. Explore the code to process reads, map them to the genome, quantify known miRNAs, identify novel miRNAs, and browse the results

    Language:Shell2100

  • jawa23bio/RNA-Seq

    RNA-Seq analysis pipeline for investigating transcriptional changes during mammalian cardiac regeneration.

    Language:HTML1100

  • Aniket7651/biosys-net

    Bioinformatics package created in C# and python, which can analyze biological data such as DNA, RNA and protein sequences, Biological Databases Scrapping, As well as 'GEO Analysis' offers a variety of analysis on RNA-seq. Preprocessing, parsing various biological file formats (FASTA, PDB, SOFT, FASTQ, etc.), this all using C# language and dotnet.

    Language:C#0100

  • lhartmanis/compound-screen

    Code and analysis scripts for analyzing newly transcribed RNA in large-scale compound screen experiments

    Language:Python0100

  • Saherpathan/BioInnovate

    Gene expression analysis and classification using XGBoost and Differential Expression Analysis (DES)

    Language:Jupyter Notebook0100

  • shalinis602/RNASeq-GeneExpression

    This project aims to identify gene expression patterns associated with different conditions or diseases, leveraging advanced data processing and model training techniques. The analysis includes preprocessing RNA-Seq data, training multiple classifiers, and evaluating their performance to determine the most effective models for such biological data.

    Language:Jupyter Notebook0100

  • sivkri/RBP-Data-Processing

    RBP-Data-Processing is a repository containing R code for processing RNA-binding protein (RBP) datasets. The code imports the data table, performs data cleaning and transformation operations, and saves the processed dataset. It provides a convenient and reproducible workflow for analyzing RBP data obtained from external sources.

    Language:R0100

  • thisisyichenzhang/matrix_completion

    Scaled matrix completion and cell deconvolution with NanoString data, Yichen Zhang, 2019

    Language:R0100

  • Tolupeter/Tolulope-

    This toolkit provides Python code for preprocessing, quality control, clustering, and visualization of single-cell RNA sequencing data using Scanpy. Ideal for deep insights into cell populations and gene expression.

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  • BothBosu/Gene-Expression-EDA-of-Breast-Tumor-and-Normal-Tissue

    This project involves an exploratory data analysis (EDA) of gene expression in breast tumor and normal tissue as part of the ICCS361 course at Mahidol University International College.

    Language:Jupyter Notebook