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Literature DB >> 25993922

No more hidden solutions in bioinformatics.

Mauno Vihinen¹.
1. Lund University, Sweden.

Abstract

Mesh：

Year: 2015 PMID： 25993922 DOI： 10.1038/521261a

Source DB: PubMed Journal: Nature ISSN： 0028-0836 Impact factor: 49.962

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Cited

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9 in total

1. Toward standard practices for sharing computer code and programs in neuroscience.

Authors: Stephen J Eglen; Ben Marwick; Yaroslav O Halchenko; Michael Hanke; Shoaib Sufi; Padraig Gleeson; R Angus Silver; Andrew P Davison; Linda Lanyon; Mathew Abrams; Thomas Wachtler; David J Willshaw; Christophe Pouzat; Jean-Baptiste Poline
Journal: Nat Neurosci Date: 2017-05-25 Impact factor: 24.884

2. PON-P and PON-P2 predictor performance in CAGI challenges: Lessons learned.

Authors: Abhishek Niroula; Mauno Vihinen
Journal: Hum Mutat Date: 2017-05-02 Impact factor: 4.878

3. FRETBursts: An Open Source Toolkit for Analysis of Freely-Diffusing Single-Molecule FRET.

Authors: Antonino Ingargiola; Eitan Lerner; SangYoon Chung; Shimon Weiss; Xavier Michalet
Journal: PLoS One Date: 2016-08-17 Impact factor: 3.240

4. Characterization of Disease-Associated Mutations in Human Transmembrane Proteins.

Authors: János Molnár; Gergely Szakács; Gábor E Tusnády
Journal: PLoS One Date: 2016-03-17 Impact factor: 3.240

5. Ten Simple Rules for Taking Advantage of Git and GitHub.

Authors: Yasset Perez-Riverol; Laurent Gatto; Rui Wang; Timo Sachsenberg; Julian Uszkoreit; Felipe da Veiga Leprevost; Christian Fufezan; Tobias Ternent; Stephen J Eglen; Daniel S Katz; Tom J Pollard; Alexander Konovalov; Robert M Flight; Kai Blin; Juan Antonio Vizcaíno
Journal: PLoS Comput Biol Date: 2016-07-14 Impact factor: 4.475

No more hidden solutions in bioinformatics.

1. Toward standard practices for sharing computer code and programs in neuroscience.

2. PON-P and PON-P2 predictor performance in CAGI challenges: Lessons learned.

3. FRETBursts: An Open Source Toolkit for Analysis of Freely-Diffusing Single-Molecule FRET.

4. Characterization of Disease-Associated Mutations in Human Transmembrane Proteins.

5. Ten Simple Rules for Taking Advantage of Git and GitHub.

6. How good are pathogenicity predictors in detecting benign variants?

7. Guidelines for systematic reporting of sequence alignments.

8. Problems in variation interpretation guidelines and in their implementation in computational tools.

Review 9. Computational models for predicting drug responses in cancer research.