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Data Analysis in Biology and Life Science

DASC 6310
Fermé
Thompson Rivers University (TRU)
Thompson Rivers University (TRU)
Kamloops, British Columbia, Canada
Yan (Stacy) Yan
Professeur.euse
1
Chronologie
  • janvier 10, 2022
    Début de expérience
  • février 8, 2022
    Project Scope Meeting
  • avril 2, 2022
    Fin de expérience
Expérience
2/2 match de projet
Dates fixées par le expérience
Entreprises privilégiées
N'importe où
Any
N'importe qu'elle industrie

Portée de Expérience

Catégories
Analyse des données
Compétences
data analysis research project presentation and delivery inference programming
Objectifs et capacités de apprenant.es

Do you have a problem/challenge in data analysis in biology and life science that you would like to solve? In this project, student-consultants working in small groups will apply their knowledge of major concepts and techniques in biology to help your organization tackle a problem related to genome sequencing and analysis, database searching, population genomics analysis, protein sequence analysis, etc. The major goal of students is to develop skills for framing important biological hypotheses and deploying appropriate tools for testing those hypotheses. Approaches for data quality assessment and evaluation of computational tools is a major theme for students, and laboratory time has helped provide them with hands-on experience with analysis of DNA, RNA and protein sequence data, and the regulatory networks controlling gene expression and metabolic activity.

Apprenant.es

Apprenant.es
Finissant
Tout niveau
10 apprenant.es dans le programme
Projet
60 heures par apprenant.e
Les apprenant.es s'auto-attribuent
Équipes de 3
Résultats et livrables attendus

The final project deliverables might include:

  1. 10-15 minute presentation of key findings and recommendations
  2. A detailed report including their research, analysis, insights, and recommendations
Chronologie du projet
  • janvier 10, 2022
    Début de expérience
  • février 8, 2022
    Project Scope Meeting
  • avril 2, 2022
    Fin de expérience

Exemples de projets

Exigances

Beginning in January, students in groups of 2-5 will work with your company to identify a problem/challenge in data analysis in biology and life science and then perform analysis by using existing tools or building their own new tools.

Project examples include but are not limited to:

  • Utilizing Linux server to manipulate large biological data with bash commands
  • Writing bash scripts and build pipelines to automate the data analysis workflow
  • Utilizing online tools and databases, and various bioinformatics programs, to interpret results, generate new hypotheses, and draw conclusions
  • Adjusting bioinformatic algorithm search parameters through a deep understanding of their effects on results based on the biological context
  • Manipulating a diversity of large bioinformatic data files and evaluate data quality
  • Using and evaluating of existing bioinformatic tools
  • Designing reproducible bioinformatic experiments
  • Analyzing nucleic acid and protein sequence data in large data sets
  • Performing statistical analyses
  • Inferring mass spectra data to identify peptide and protein sequences
  • Querying sequence databases and perform alignments

Critères supplé mentaires pour entreprise

Les entreprises doivent répondre aux questions suivantes pour soumettre une demande de jumelage pour cette expérience:

  • Q - Case à cocher
  • Q - Case à cocher
  • Q - Case à cocher
  • Q - Case à cocher