User:Sunggyunglee/Choose an Article

Article Selection
Please list articles that you're considering for your Wikipedia assignment below. Begin to critique these articles and find relevant sources.

Option 1

 * Article title
 * Metabolic flux analysis 
 * Article Evaluation
 * Article is only a few sentences and is underdeveloped. Article could explain mathematical algorithm behind MFA, more citations (less primary sources), and more precise definition and applications of MFA. There's also different types of MFA software that should be clarified.
 * Importance: Low/medium importance
 * Sources
 * Source 1: High-resolution 13C metabolic flux analysis, 2019, https://doi.org/10.1038/s41596-019-0204-0, secondary
 * Source 2: Methods and advances in metabolic flux analysis, 2015, https://doi.org/10.1007/s10295-015-1585-x, secondary
 * Source 3: Metabolic Flux Analysis-Linking Isotope Labeling and Metabolic Fluxes, 2020, doi: 10.3390/metabo10110447, secondary

Option 2

 * Article title
 * C-DNA 
 * Article Evaluation
 * Article is stub/underdeveloped. The article could also use more sources, including sources that are NOT primary articles.
 * Importance: Low importance
 * Sources
 * Source 1: The conformation of c-DNA, 1975, https://doi.org/10.1016/S0022-2836(75)80115-X, primary
 * Source 2: Deoxyribonucleic Acid Structure, 1981, http://www.jstor.org/stable/1686151, secondary
 * Source 3: A glossary of DNA structures from A to Z, 2003, https://doi.org/10.1107/S0907444903003251, secondary

Option 3

 * Article title
 * ChiRP-Seq 
 * Article Evaluation
 * Article could have more sources and describe the method with more detail. Also including applications and history of ChiRP-Seq would be helpful and relevant.
 * Importance: Low/medium importance
 * Sources
 * Source 1: Chromatin Isolation by RNA Purification (ChIRP), 2012, https://doi.org/10.3791/3912, secondary
 * Source 2: Genomic maps of lincRNA occupancy reveal principles of RNA-chromatin interactions, 2011, https://doi.org/10.1016/j.molcel.2011.08.027, primary
 * Source 3: Genome-Wide Technologies to Study RNA–Chromatin Interactions, 2020, https://doi.org/10.3390/ncrna6020020, secondary