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GlossaryBioinformatics Analysis

using computer tools to interpret complex biological data

Bioinformatics Analysis involves using computer software and algorithms to interpret biological data, such as DNA sequences or protein structures. This type of analysis helps scientists understand complex biological processes, identify genetic markers for diseases like alopecia, and develop new treatments by analyzing large datasets that would be impossible to process manually.

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research Bioinformatics Analysis of Evolutionary Characteristics and Biochemical Structure of FGF5 Gene in Sheep

23 citations , March 2019 in “Gene”

Editing the FGF5 gene in sheep increases wool length, confirming its role in hair growth.

research Impact of Taxol on Dermal Papilla Cells: A Proteomics and Bioinformatics Analysis

9 citations , October 2011 in “Journal of proteomics”

Taxol damages hair growth cells, causing hair loss.

research Bioinformatics Analysis of Genes Associated with Patchy-Type Alopecia Areata: CD2 May Be a New Therapeutic Target

4 citations , September 2019 in “Biomedical Papers/Biomedical Papers of the Faculty of Medicine of Palacký University, Olomouc Czech Republic”

CD2 might be a new treatment target for patchy alopecia areata.

research Bioinformatics Analysis of EST Segment from Goat

1 citations , January 2008 in “China Journal of Bioinformatics”

research Investigation of Hub Genes and Immune Infiltration in Androgenetic Alopecia Using Bioinformatics Analysis

November 2022 in “Annals of Translational Medicine”

Immune activities and specific genes are important in male pattern baldness.

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community UPDATE: The theory that explains everything. Please help me make this big!

in Research/Science 442 upvotes 4 years ago

Hair loss theory involves 3alpha-hydroxysteroid reductase (3AHD) converting DHT to androstenol. Discussion explores potential treatments and encourages more research.