Essays about: "BIOINFORMATICS TOOL"

Showing result 1 - 5 of 27 essays containing the words BIOINFORMATICS TOOL.

  1. 1. Detection of root borne pathogen causing pea root rot by using minion sequencing

    University essay from Högskolan i Skövde/Institutionen för biovetenskap

    Author : Aderemi Olubode; [2023]
    Keywords : ;

    Abstract : Pea (Pisum sativum L.) is the most cultivated pulse in the temperate zone, economically important with high nutritional value (high protein content of 20-30%) and relatively low cost. Root rot is its predominant disease, it is referred to as root rot complex because it involves many pathogens. READ MORE

  3. 2. CRISPR-Drawr, a tool to design mutagenic primer

    University essay from Uppsala universitet/Institutionen för biologisk grundutbildning

    Author : Larsson Torbjörn; [2023]
    Keywords : Integrated CRISPR design; new score method; short open reading frames; functional screening; bioinformatics;

    Abstract : Short open reading frames (sORFs) are codon sequences with a start and stop codon within atmost 100 codons. Cells produce many transcripts from them and some sORFs have been found to have function. sORFs have been associated with embryogenesis, myogenesis, immunity and various diseases including cancers. READ MORE

  4. 3. Comparative genomics of Central Arctic Ocean microbiota for observation of Alternative Carbon Fixation Pathways

    University essay from Uppsala universitet/Institutionen för biologisk grundutbildning

    Author : Kaavya Venkateswaran; [2023]
    Keywords : comparative genomics; microbial ecology; bioinformatics; carbon fixation; pangenomics;

    Abstract : The Central Arctic Ocean is a repository of rich and diverse biota, whose major portion is one of the most important drivers of global biogeochemical cycles, including carbon cycling. In this study, the functional potential of the microbiota to fix carbon with alternative carbon fixation pathways were investigated along with their chemolithotrophic characteristics. READ MORE

  5. 4. Predicting Biomarkers/ Candidate Genes involved in iALL, using Rough Sets based Interpretable Machine Learning Model.

    University essay from Uppsala universitet/Institutionen för biologisk grundutbildning

    Author : Girish Pulinkala; [2023]
    Keywords : Machine Learning; Cancer; Oncology; Acute Lymphoblastic Leukemia; Rough sets; Pathway analysis; Feature selection; Bioinformatics; Computational Biology.;

    Abstract : Acute lymphoblastic leukemia is a hematological malignancy that gains a proliferative advantage and originates in the bone marrow. One of the more common genetic alterations in ALL is KMT2A-rearrangement which constitutes 80% of the cases of ALL in infants. READ MORE

  6. 5. Identifying cell type-specific proliferation signatures in spatial transcriptomics data and inferring interactions driving tumour growth

    University essay from Uppsala universitet/Neuroonkologi och neurodegeneration

    Author : Felix Wærn; [2023]
    Keywords : spatial transcriptomics; breast cancer; dimensionality reduction; bioinformatics; deconvolution;

    Abstract : Cancer is a dangerous disease caused by mutations in the host's genome that makes the cells proliferateuncontrollably and disrupts bodily functions. The immune system tries to prevent this, but tumours have methods ofdisrupting the immune system's ability to combat the cancer. READ MORE