Essays about: "Bioinformatik"
Showing result 6 - 10 of 46 essays containing the word Bioinformatik.
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6. Classification of sequence tags from tandem mass spectrometry spectra using machine learning models
University essay from Lunds universitet/Examensarbeten i bioinformatikAbstract : Motivation: Proteomics is the large-scale study of all the proteins found in a cell, tissue or organism. In the last few years, and thanks to the development of mass spectrometry and bioinformatics, proteomics has led the research in several fields, ranging from medicine to agriculture. READ MORE
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7. Metagenomic analysis of Crohn’s Disease
University essay from Uppsala universitet/Molekylär epidemiologiAbstract : Inflammatory Bowel Disease (IBD) is a chronic and incurable condition that is increasing inprevalence across the globe. This illness consist of two forms: Crohn’s Disease (CD) andUlcerative Colitis (UC). CD is characterised by a patch inflammation pattern across the gut anda multitude of different factors, such as diet. READ MORE
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8. Optimal peptide quantification via machine learning enhanced fragment ion ranking in DIA-MS proteomics
University essay from Lunds universitet/Examensarbeten i bioinformatikAbstract : In a standard mass spectrometry workflow, acquired mass spectra are searched against a library of peptides to extract peptide spectra matches (PSMs). Peptides are normally quantified by aggregating the intensities of fragment ions extracted from MS/MS spectra. READ MORE
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9. A Single-Nucleus RNA Sequencing Analysis of HERVs and LINE1s in Alzheimer's and Parkinson's Disease
University essay from Lunds universitet/Examensarbeten i bioinformatikAbstract : Transposable elements (TEs) are mobile genetic elements that make up roughly 50% of the human genome, with retrotransposons (or transposons which retrotranspose via an RNA intermediate) making up the vast majority of these elements. Recent studies have suggested that TEs could play a role in many neurological conditions, including ALS and dementia. READ MORE
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10. Comparative Study of tools for Statistical Learning : Comparing the performance of data science languages and frameworks
University essay from KTH/DatavetenskapAbstract : Statistical learning is a sub-field of computer science that studies algorithms which try to solve the statistical inference problem of finding a predictive function based on data. This is used in fields such as finance, computer vision, and bioinformatics. READ MORE