Process / pipelineFunctional genomics

Analīze CRISPR skrīningiem

Analīze CRISPR skrīningiem apstrādā datus no kopīgiem (pooled) ģenētiskiem skrīningiem, izmantojot CRISPR-Cas9, lai identificētu gēnus, kas nepieciešami šūnu augšanai, izdzīvošanai vai noteikta fenotipa parādīšanai specifiskos apstākļos. Šo aprēķinu (computational) cauruļvadu, ko izstrādājuši Zhang, Sanjana un citi, pārvērš gida RNS (guide RNA) daudzumu sekvenču nolasījumus sakārtotos funkcionālo gēnu sarakstos.

Atvērt MethodMindDrīzumāVideoDrīzumāDownload slides

Lasīt pilno metodes aprakstu

Tikai dalībniekiem

Piesakieties ar bezmaksas kontu, lai lasītu šo sadaļu.

Pieteikties

Method map

The neighbourhood of related methods — select a node to explore.

Avoti

  1. Shalem, O., Sanjana, N. E., Hartenian, E., Shi, X., Scott, D. A., Mikkelsen, T. S., ... & Zhang, F. (2014). Genome-scale CRISPR-Cas9 knockout screening in human cells. Science, 343(6166), 84-87. DOI: 10.1126/science.1247005
  2. Hart, T., Chandrashekhar, M., Aregger, M., Steinhart, Z., Brown, K. R., MacLeod, G., ... & Moffat, J. (2015). High-resolution CRISPR screens reveal fitness genes and pathways. Molecular Systems Biology, 11(8), 820. link
  3. King, J. B., Palmer, A. C., & Sorger, P. K. (2020). Application of a genetic algorithm designed for flexible objective optimization in pharmaceutical research and development. Cancer Research, 79(13 Supplement), 3435. link

Kā citēt šo lapu

ScholarGate. (2026, June 3). CRISPR Screening Data Analysis and Hit Identification. ScholarGate. https://scholargate.app/lv/bioinformatics/crispr-screen-analysis

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

Uz to atsaucas

ScholarGateCRISPR Screen Analysis (CRISPR Screening Data Analysis and Hit Identification). Izgūts 2026-06-15 no https://scholargate.app/lv/bioinformatics/crispr-screen-analysis · Datu kopa: https://doi.org/10.5281/zenodo.20539026