BioCode

A Bioinformatics Platform to Gain Bioinformatics Skills in Python, R, Linux, NGS, Single-Cell Genomics & Metagneomics | Get Analysis Services & Consultancy

[BioCode @BioCodeLtd]

Need help with #Bioinformatics Analysis for your project?
Just contact us at [email protected] and avail bioinformatics services catered to your needs or visit https://t.co/6QVpdJn2KX

#Genomics #MolecularBiology #NGS #ComputationalBiology #Biology #Biotechnology

[BioCode @BioCodeLtd]

Get highly quality molecular docking and molecular dynamics simulation services for your proteins/ligands. If you do not have ligands, we can dock your protein, against thousands of ligands within 24 hours and provide you top 10 ligands for your proteins.

[BioCode @BioCodeLtd]

CEO, @twDignity is going live for an oral talk on Parkinson's disease research at the International Society for Computational Biology conference in Lyon, France.

https://t.co/eaSVFzp9SI

[BioCode @BioCodeLtd]

#SingleCellGenomics #MachineLearning #DimensionReduction #GenomicsResearch #data #genomics #cancerresearch #cancergenomics #singlecell #singlecellrnaseq

[BioCode @BioCodeLtd]

1/ Single cell genomics (scRNA-seq & scATAC) is a fascinating field of Bioinformatics that focuses on analyzing the large-scale genetic material (expression, epigenetics, variations) of individual cells to gain insights into their molecular properties.

[BioCode @BioCodeLtd]

9/ How exactly it is done? You can use scanPy (Python) or Seurat (R) to accomplish this, but don’t directly go into dimension reduction, first you will have to do quality control and normalization among other steps.

[BioCode @BioCodeLtd]

#genomics #technology #python #health #singlecellgenomics #singlecell #scRNAseq #scRNA #singlecellrnaseque #cancergenomics #cancer #healthinformatics #rnaseq #cancerresearch #bioinformatics #pipelines

[BioCode @BioCodeLtd]

(Thread) One of the most interesting questions that people ask is “how do I get started with single-cell RNA-seq analysis?” Here's a step-by-step workflow guideline that can help you get started:

[BioCode @BioCodeLtd]

6/ Oh, this slide is part of one of our detailed courses on single-cell RNA-seq analysis using Linux, R, and Python.