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HOME ABOUT Blast2GO Citations


Blast2GO is a convenient, user-friendly solution to the problem of annotating DNA sequence data, and is especially useful for novel sequences from non-model organisms. We have used Blast2GO for annotation of sequences from flatfish, sticklebacks, zebrafish, Daphnia, algae and annelids and for analysis of gene expression and high throughput sequencing data. Blast2GO has already been a key component in 14 peer-reviewed publications from our laboratory. The package can be freely accessed from any networked computer and the graphical user interface avoids tedious command-line syntax. The developers are approachable and responsive, providing excellent online support. I recommend Blast2GO as part of any molecular biologist’s informatics toolbox.

Dr. Tim Williams
Research Fellow
The University of Birmingham, UK

I have found Blast2Go very helpful in my work for blasting and annotating various sequences. The versatile and user-friendly interface makes small and large blast-annotations jobs easy and provides a very comprehensive collection of tools needed for doing the work.

Dr. Knut Erik Tollefsen
Senior researcher in Ecotoxicology and adjunct Professor
Norwegian Institute for Water Research (NIVA) and University of Life Sciences, Norway

Blast2Go provides a convenient, intuitive yet flexible interface and pipeline for the annotation of large-scale transcript and EST DNA sequence data. The application enables the relatively painless annotation of next generation transcriptome assemblies by bringing together a variety of otherwise extremely daunting informatics steps into one neat package. We have been using Blast2Go to annotate and explore de novo assemblies of spider transcriptomes and can not imagine how much slower we would have been without it. Blast2Go has been and will continue to be central to our work with transcriptome data. The support team is quick to respond positively. In short, Blast2Go is an indispensable tool for the analysis of next generation DNA sequence data.

Dr. Peter Croucher
Associate Research Specialist
University of California, Berkeley, USA

My current research harnesses the power of Next Generation Sequencing, de novo transcriptome assemblage and downstream analysis to assess the impact that specific anthropogenic disturbances have on gene expression in plant species. The Blast2GO program neatly rolls several downstream analytical functions into one simple Graphical User Interface. This is further made easy by the help icons presented through-out each and every step. I would highly recommend this software to anyone who is working within the field of Transcriptomics.

Peter Davey
PhD Student
University of Technology, Sydney, Australia

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Blast2GO is used by more than hundred labs worldwide, has contributed to the annotation efforts in EST projects, genomics studies and microarray experiments, covering taxa from microorganisms to fungi, plants, fish, animals and humans. During the last years the application has been cited in more than 400 scientific papers.
Please find a complete list here.


Blast2GO publications:

Please cite:
  • A. Conesa, S. Götz, J. M. Garcia-Gomez, J. Terol, M. Talon and M. Robles. "Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research", Bioinformatics, Vol. 21, September, 2005, pp. 3674-3676.

  • A. Conesa and S. Götz. "Blast2GO: A Comprehensive Suite for Functional Analysis in Plant Genomics", International Journal of Plant Genomics, Vol. 2008. 2008, pp. 1-13.

  • S. Götz et al. "High-throughput functional annotation and data mining with the Blast2GO suite", Nucleic Acids Research, Vol. 36, June, 2008, pp. 3420-3435.

  • S. Götz et al. "B2G-FAR, a species centered GO annotation repository", Bioinformatics, Vol. 27 (7), 2011, pp. 919-924.

Word-Cloud of 400 abstracts citing Blast2GO


Blast2GO sponsored projects:

Environmental Science:
Natalie Ng is a junior at Monta Vista High School. This year, she is working on an environmental science project where she combine molecular biology, bioinformatics and data mining to investigate how human activities have contributed to the increased occurrence, duration and intensity of harmful algal blooms (HABs) in marine ecosystems around the world. She plans to use the automated annotation framework as well as statistical and visualization tools available in Blast2GO PRO to analyse the transcriptome of K. brevis in response to nutrient inputs. The goal is to gain a better understanding of molecular mechanisms and metabolic pathways that control the dynamics and persistence of HABs. The Blast2GO team wishes here all the best for this project.