Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 Bioinformatics: bringing it all together.

Literature DB >> 12384707

Bioinformatics: bringing it all together.

Marina Chicurel.

Abstract

Mesh：

Year: 2002 PMID： 12384707 DOI： 10.1038/419751a

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

Keyword Cloud
Cited

× No keyword cloud information.

13 in total

1. Biopipe: a flexible framework for protocol-based bioinformatics analysis.

Authors: Shawn Hoon; Kiran Kumar Ratnapu; Jer-Ming Chia; Balamurugan Kumarasamy; Xiao Juguang; Michele Clamp; Arne Stabenau; Simon Potter; Laura Clarke; Elia Stupka
Journal: Genome Res Date: 2003-07-17 Impact factor: 9.043

2. BOD: a customizable bioinformatics on demand system accommodating multiple steps and parallel tasks.

Authors: Li-An Qiao; Jing Zhu; Qingyan Liu; Tao Zhu; Chi Song; Wei Lin; Guozhu Wei; Lisen Mu; Jiang Tao; Nanming Zhao; Guangwen Yang; Xiangjun Liu
Journal: Nucleic Acids Res Date: 2004-08-09 Impact factor: 16.971

3. BioMOBY successfully integrates distributed heterogeneous bioinformatics Web Services. The PlaNet exemplar case.

Authors: Mark Wilkinson; Heiko Schoof; Rebecca Ernst; Dirk Haase
Journal: Plant Physiol Date: 2005-05 Impact factor: 8.340

4. Data quality assessment of ungated flow cytometry data in high throughput experiments.

Authors: Nolwenn Le Meur; Anthony Rossini; Maura Gasparetto; Clay Smith; Ryan R Brinkman; Robert Gentleman
Journal: Cytometry A Date: 2007-06 Impact factor: 4.355

Review 5. Data standards for flow cytometry.

Authors: Josef Spidlen; Robert C Gentleman; Perry D Haaland; Morgan Langille; Nolwenn Le Meur; Michael F Ochs; Charles Schmitt; Clayton A Smith; Adam S Treister; Ryan R Brinkman
Journal: OMICS Date: 2006

Bioinformatics: bringing it all together.

1. Biopipe: a flexible framework for protocol-based bioinformatics analysis.

2. BOD: a customizable bioinformatics on demand system accommodating multiple steps and parallel tasks.

3. BioMOBY successfully integrates distributed heterogeneous bioinformatics Web Services. The PlaNet exemplar case.

4. Data quality assessment of ungated flow cytometry data in high throughput experiments.

Review 5. Data standards for flow cytometry.

6. Gating-ML: XML-based gating descriptions in flow cytometry.

7. A survey of flow cytometry data analysis methods.

8. Ontologies for bioinformatics.

9. Spatiotemporal integration of molecular and anatomical data in virtual reality using semantic mapping.

10. The Proteomics Identifications database: 2010 update.