Genetic Interaction Score (S-Score) Calculation, Clustering, and Visualization of Genetic Interaction Profiles for Yeast.

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

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Genetic Interaction Score (S-Score) Calculation, Clustering, and Visualization of Genetic Interaction Profiles for Yeast. / Roguev, Assen; Ryan, Colm J.; Xu, Jiewei et al.
Yn: Cold Spring Harbor Protocols, Cyfrol 2018, Rhif 2, 02.2018.

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

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Roguev A, Ryan CJ, Xu J, Colson I, Hartsuiker E, Krogan N. Genetic Interaction Score (S-Score) Calculation, Clustering, and Visualization of Genetic Interaction Profiles for Yeast. Cold Spring Harbor Protocols. 2018 Chw;2018(2). Epub 2017 Gor 21. doi: 10.1101/pdb.prot091983

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Roguev, Assen ; Ryan, Colm J. ; Xu, Jiewei et al. / Genetic Interaction Score (S-Score) Calculation, Clustering, and Visualization of Genetic Interaction Profiles for Yeast. Yn: Cold Spring Harbor Protocols. 2018 ; Cyfrol 2018, Rhif 2.

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TY - JOUR

T1 - Genetic Interaction Score (S-Score) Calculation, Clustering, and Visualization of Genetic Interaction Profiles for Yeast.

AU - Roguev, Assen

AU - Ryan, Colm J.

AU - Xu, Jiewei

AU - Colson, Isabelle

AU - Hartsuiker, Edgar

AU - Krogan, Nevan

PY - 2018/2

Y1 - 2018/2

N2 - This protocol describes computational analysis of genetic interaction screens, ranging from data capture (plate imaging) to downstream analyses. Plate imaging approaches using both digital camera and office flatbed scanners are included, along with a protocol for the extraction of colony size measurements from the resulting images. A commonly used genetic interaction scoring method, calculation of the S-score, is discussed. These methods require minimal computer skills, but some familiarity with MATLAB and Linux/Unix is a plus. Finally, an outline for using clustering and visualization software for analysis of resulting data sets is provided.

AB - This protocol describes computational analysis of genetic interaction screens, ranging from data capture (plate imaging) to downstream analyses. Plate imaging approaches using both digital camera and office flatbed scanners are included, along with a protocol for the extraction of colony size measurements from the resulting images. A commonly used genetic interaction scoring method, calculation of the S-score, is discussed. These methods require minimal computer skills, but some familiarity with MATLAB and Linux/Unix is a plus. Finally, an outline for using clustering and visualization software for analysis of resulting data sets is provided.

U2 - 10.1101/pdb.prot091983

DO - 10.1101/pdb.prot091983

M3 - Article

VL - 2018

JO - Cold Spring Harbor Protocols

JF - Cold Spring Harbor Protocols

SN - 1559-6095

IS - 2

ER -