Groups at the CRG's Bioinformatics and Genomics program perform research in Biology using computation. Focus is on Genomics and Evolution. We use computation as a means both to interrogate and to model biological phenomena. We use existing tools, but we also design and implement novel computational tools and databases, and we are also interested in basic research in algorithms.
http://big.crg.es/
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Bioinformatics and Genomics @ CRG | Research on bioinformatics and genomics | big.crg.es Reviews
https://big.crg.es
Groups at the CRG's Bioinformatics and Genomics program perform research in Biology using computation. Focus is on Genomics and Evolution. We use computation as a means both to interrogate and to model biological phenomena. We use existing tools, but we also design and implement novel computational tools and databases, and we are also interested in basic research in algorithms.
big.crg.es
Comparative Bioinformatics | Bioinformatics and Genomics @ CRG
http://big.crg.es/comparative_bioinformatics
MotEvo: integrated Bayesian probabilistic methods for inferring regulatory sites and motifs on multiple alignments of DNA sequences. Accurate multiple sequence alignment of transmembrane proteins with PSI-Coffee. AMPA: an automated web server for prediction of protein antimicrobial regions. Use of ChIP-Seq data for the design of a multiple promoter-alignment method. Transcription Factor Binding Site Positioning in Yeast: Proximal Promoter Motifs Characterize TATA-Less Promoters.
mmeta | Bioinformatics and Genomics @ CRG
http://big.crg.es/services/mmeta
Computational Biology of RNA Processing. Posted Fri, 2009-09-04 16:51 by Toni Hermoso. Mmeta is a program to produce and to align the TF-maps of multiple promoter regions. mmeta is very powerful to characterize promoter regions from multiple orthologous genes, or from co-regulated genes in microarrays, as it reduces the signal/noise ratio in a very significant manner, still detecting the real functional sites.
geneid | Bioinformatics and Genomics @ CRG
http://big.crg.es/services/geneid
Computational Biology of RNA Processing. Posted Fri, 2009-09-04 16:43 by Toni Hermoso. Geneid is a program to predict genes along a DNA sequence in a large set of organisms. While its accuracy compares favorably to that of other existing tools, geneid is more efficient in terms of speed and memory usage and it offers some rudimentary support to integrate predictions from multiple source.
gff2aplot | Bioinformatics and Genomics @ CRG
http://big.crg.es/services/gff2aplot
Computational Biology of RNA Processing. Posted Fri, 2009-09-04 16:49 by Toni Hermoso. Visualizing pair-wise alignments with annotated axes from GFF files. We are proud to announce the new version of. That has been re-implemented in perl. Visit the program's web page downloading section to obtain v2.0. You can obtain the full distribution tarball from there. We hope you will enjoy them. A snapshots web page is also available. Listing few examples of what can be done with.
AStalavista | Bioinformatics and Genomics @ CRG
http://big.crg.es/services/astalavista
Computational Biology of RNA Processing. Posted Fri, 2009-09-04 16:41 by Toni Hermoso. Retrieves all alternative splicing events from generic transcript annotations.
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Treevolution: Biology through the evolutionary lens: September 2011
http://treevolution.blogspot.com/2011_09_01_archive.html
Treevolution: Biology through the evolutionary lens. Blog of Toni Gabaldón, evolutionary biologist, working on comparative genomics at the Centre for Genomic Regulation (Barcelona, Spain). Saturday, September 24, 2011. Special BiB issue on "Orthology and Applications". An special issue on "Orthology and Applications". Is out in the journal Briefings in Bioinformatics. Reporting from that meeting. We contributed with an article. Links to this post. Wednesday, September 21, 2011. I appreciate the effort by...
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BİG İnşaat A.Ş. | Anasayfa
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Bioinformatics and Genomics @ CRG | Research on bioinformatics and genomics
Gene function and evolution. Genetic causes of disease. BioMoby Web Services and Workflows. Environment for Tree Exploration (ETE). Predictor of Interactions with Molecular Chaperones. Predictor of Protein Amyloidogenicity. Predictor of Protein Folding Propensities. Predictor of protein-RNA interactions. Predictor of Soluble Expression. SECISearch3 and Seblastian: prediction of SECIS elements and selenoproteins. The GEM (GEnome Multi-tool) Library. BIOINFORMATICS SYSTEMS ADMINISTRATOR (JOB OFFER). And wi...
Bioinformatics and Genomics @ CRG | Research on bioinformatics and genomics
Gene function and evolution. Genetic causes of disease. BioMoby Web Services and Workflows. Environment for Tree Exploration (ETE). Predictor of Interactions with Molecular Chaperones. Predictor of Protein Amyloidogenicity. Predictor of Protein Folding Propensities. Predictor of protein-RNA interactions. Predictor of Soluble Expression. SECISearch3 and Seblastian: prediction of SECIS elements and selenoproteins. The GEM (GEnome Multi-tool) Library. Active transcription without histone modifications.
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BIG - Bonner Informatik Gesellschaft e.V.
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BIG - Business Intelligence Group | Business Intelligence Group
DISI - University of Bologna, Italy. BIG - Business Intelligence Group. In this context, the Business Intelligence Group has been carrying out its research activity since 1997, mainly aiming at developing a structured methodology for design. Mar 2016: Lecture by Stefano Rizzi on Agility meets Data Warehouse design. At the Spring School Models, Systems, and Algorithms for Role-Based BI. At the 5th European Business Intelligence Summer School. At the 2015 TDWI Conference. At the EUNIS BITF Conference.
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