Literature DB >> 26490954

Erratum to: gespeR: a statistical model for deconvoluting off-target-confounded RNA interference screens.

Fabian Schmich1,2, Ewa Szczurek1,2, Saskia Kreibich3, Sabrina Dilling3, Daniel Andritschke3, Alain Casanova4, Shyan Huey Low4, Simone Eicher4, Simone Muntwiler4, Mario Emmenlauer4, Pauli Rämo4, Raquel Conde-Alvarez5, Christian von Mering2,6, Wolf-Dietrich Hardt3, Christoph Dehio4, Niko Beerenwinkel7,8.   

Abstract

Year:  2015        PMID： 26490954      PMCID： PMC4618351          DOI： 10.1186/s13059-015-0807-x

Source DB:  PubMed          Journal:  Genome Biol        ISSN： 1474-7596            Impact factor:   13.583


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After the publication of this work [1], some content was missing from the Acknowledgements section. The corrected Acknowledgements section is given below:
  1 in total

1.  gespeR: a statistical model for deconvoluting off-target-confounded RNA interference screens.

Authors:  Fabian Schmich; Ewa Szczurek; Saskia Kreibich; Sabrina Dilling; Daniel Andritschke; Alain Casanova; Shyan Huey Low; Simone Eicher; Simone Muntwiler; Mario Emmenlauer; Pauli Rämö; Raquel Conde-Alvarez; Christian von Mering; Wolf-Dietrich Hardt; Christoph Dehio; Niko Beerenwinkel
Journal:  Genome Biol       Date:  2015-10-07       Impact factor: 13.583
  1 in total
  3 in total

1.  RIsearch2: suffix array-based large-scale prediction of RNA-RNA interactions and siRNA off-targets.

Authors:  Ferhat Alkan; Anne Wenzel; Oana Palasca; Peter Kerpedjiev; Anders Frost Rudebeck; Peter F Stadler; Ivo L Hofacker; Jan Gorodkin
Journal:  Nucleic Acids Res       Date:  2017-05-05       Impact factor: 16.971

2.  A Genome-Wide siRNA Screen Implicates Spire1/2 in SipA-Driven Salmonella Typhimurium Host Cell Invasion.

Authors:  Daniel Andritschke; Sabrina Dilling; Mario Emmenlauer; Tobias Welz; Fabian Schmich; Benjamin Misselwitz; Pauli Rämö; Klemens Rottner; Eugen Kerkhoff; Teiji Wada; Josef M Penninger; Niko Beerenwinkel; Peter Horvath; Christoph Dehio; Wolf-Dietrich Hardt
Journal:  PLoS One       Date:  2016-09-14       Impact factor: 3.240

3.  Seed-effect modeling improves the consistency of genome-wide loss-of-function screens and identifies synthetic lethal vulnerabilities in cancer cells.

Authors:  Alok Jaiswal; Gopal Peddinti; Yevhen Akimov; Krister Wennerberg; Sergey Kuznetsov; Jing Tang; Tero Aittokallio
Journal:  Genome Med       Date:  2017-06-01       Impact factor: 11.117
  3 in total

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