#course
#analysis
#February5
#sequencing
#paid
#externalevent

https://www.ebi.ac.uk/training/events/2021/single-cell-rna-seq-analysis-using-r-virtual?ct=t%28Sep20_all+virtual+events%29

@letslearnbioinformatics

#R #bioconductor #analysis

ChIP-seq with Bioconductor in R.

Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset

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@llbschool
@letslearnbioinformatics

#tutorial #gromacs #xmgrace #postmd #analysis

If you are looking for tutorial to generate quality Image and bunch of post MD analysis in Gromacs, then we highly recommend this youtube

demonstration of xmgrace, plotting and data analysis program available on Linux computers

Table of Contents:
importing data
multiple data sets
resizing graphs
viewpoint coordinates
modifying a graph
changing the scale
axis properties
graph appearance
controlling the legend
controlling data sets
deleting data sets
data set appearance
graph appearance
saving plot parameters
saving the project
data analysis tools
running averages
histograms
making an empty graph
exporting data
saving graphs as imges
correlations
moving data between graphs
fitting ata
zoom in to restrict a fit
creating data sets
entering a formula
portrait mode

🎥Tutorial link

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@letslearnbionformatics

#resource #graph #bioinfo #analysis

Flowchart for choosing the correct graphics for Bioinformatics and other Research Analysis

- An important aspect of Bioinformatics data analysis is to select the correct plot, chart, and graphics.

- Today there is a plethora of options for graphics that would help you to inform visually the results of experiments, test, and possible projections. However, you want to present graphics that are the easiest for your audience to read and visually pleasing with right amount of detail

Here is a guide chart for choosing the correct graphics. which is an adapted version of Andrew V. Abela chart on "what would you like to show?"

📚Download Pdf version here
https://www.linkedin.com/posts/nyberman_basic-graphs-selection-by-nyberman-bioinformatics-activity-6923536134161506304-d1X9?utm_source=linkedin_share&utm_medium=member_desktop_web

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Channel @llbschool
Forum @letslearnbioinformatics

#resource #Bioinformatics #dataset #genomics #analysis

Do you want to understand how functional analyses of the mammalian genome are made possible by a reference dataset composed of comprehensive and consistent phenotyping data? 👨‍🏫

The International Mouse Phenotyping Consortium: "comprehensive knockout phenotyping underpinning the study of human disease".
The IMPC portal provides a substantial reference dataset that helps to enrich numerous domain-specific initiatives and databases, as well as the larger research and clinical community, where the IMPC genotype-phenotype knowledge helps to molecularly diagnose patients with rare illnesses.

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🪩 Checkout the article 👇
https://tinyurl.com/yc7dxx9w
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Channel @llbschool
Forum @letslearnbioinformatics