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| Registros recuperados : 42 | |
| 1. |  | SILVA, F. R. da; NODA, R. W.; ZERLOTINI, A.; LOBO, F. P.; CARNEIRO, N. P. Counting RNAseq reads: which way is better? In: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 21.; EUROPEAN CONFERENCE ON COMPUTATIONAL BIOLOGY, 12., 2013, Berlin. Posters... Berlin: ISCB, 2013. Não paginado. Pôster N101.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Milho e Sorgo. |
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| 2. | | SILVA, L.; MARCET-HOUBEN, M.; NAHUM, L.; ZERLOTINI, A.; GALBADÓN, T.; OLIVEIRA, G. Proteome-wide evolutionary analysis reveals lineage-specific adaptations and improves funtional annotation of Schistosoma mansoni proteins. In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 8., 2012, Campinas. Abstract book... Ribeirão Preto: AB3C, 2012. Não paginado. X-MEETING 2012.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 3. | | NAGAI, L. A. E.; GIACHETTO, P. F.; CARDOSO, F. F.; ZERLOTINI, A.; KUSER-FALCÃO, P. R. Preliminary analysis of differentially expressed genes involved in meat tenderness in Angus and Nelore beef cattle. In: INTERNATIONAL SOCIETY FOR COMPUTATIONAL BIOLOGY LATIN AMERICA X-MEETING ON BIOINFORMATICS, 3., THE BRAZILIAN SYMPOSIUM ON BIOINFORMATICS; SOIBIO, 2014, Belo Horizonte. Program... [S.l.]: International Society for Computational Biology, 2014. Não paginado. ISCB-Latin America 2014. Pôster O10.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 6. | | HONGO, J.; CASTRO, G.; SILVA, F.; CINTRA, L.; ZERLOTINI, A.; LOBO, F. POTION: a massive parallel program for identification of homologous genes under positive selection on genomic scale datasets. In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 8., 2012, Campinas. Abstract book... Ribeirão Preto: AB3C, 2012. Não paginado. X-MEETING 2012.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 8. | | SIMÕES, M.; BAHIA, D.; ZERLOTINI, A.; TORRES, K.; ARTIGUENAVE, F.; NESHICH, G.; KUSER, P.; OLIVEIRA, G. Single nucleotide polymorphisms identification in expressed genes of Schistosoma mansoni. Molecular and Biochemical Parasitology, v. 154, p. 134-140, 2007.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 9. | | LEPESANT, J. M. J.; COSSEAU, C.; BOISSIER, J.; FREITAG, M.; PORTELA, J.; CLIMENT, D.; PERRIN, C.; ZERLOTINI, A.; GRUNAU, C. Chromatin structural changes around satellite repeats on the female sex chromosome in Schistosoma mansoni and their possible role in sex chromosome emergence. Genome Biology, v. 13, 2012. 15 p.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 10. | | CINTRA, L. C.; ZERLOTINI, A.; SILVA, F. R. da; LOBO, F. P.; YAMAGISHI, M. E. B.; KUSER-FALCÃO, P. R. K.; GIACHETTO, P. F. Embrapa Bioinformatic Multi-user laboratory. In: INTERNATIONAL PLANT & ANIMAL GENOME, 21., 2013, San Diego. [Abstracts...]. [S.l.: s.n.], 2013. Não paginado. Pôster 1017.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 11. | | KUSER-FALCÃO, P. R.; YAMAGISHI, M. E. B.; GIACHETTO, P. F.; SILVA, F. R.; LOBO, F. P.; CINTRA, L. C.; ZERLOTINI, A.; HIGA, R.; VIEIRA, F. Embrapa Bioinformatics Multi-Users Laboratory - LMB. In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 8., 2012, Campinas. Abstract book... Ribeirão Preto: AB3C, 2012. Não paginado. X-MEETING 2012.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 12. | | CARNEIRO, N.; NODA, R.; MAGALHÃES, P.; MENEZES, C.; SCHAFFERT, R.; BARROS, B.; GUIMARÃES, C.; LOBO, F. P.; ZERLOTINI, A.; MAGALHÃES, J. Association of differentially expressed genes with drought tolerant sorghum using computer analysis. In: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 21.; EUROPEAN CONFERENCE ON COMPUTATIONAL BIOLOGY, 12., 2013, Berlin. Posters... Berlin: ISCB, 2013. Pôster F52.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Milho e Sorgo. |
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| 13. | | CASASSOLA, A.; BRAMMER, S. P.; CHAVES, M. S.; NHANI JUNIOR, A.; MARTINELLI, J. A.; KUSER-FALCAO, P. R.; ZERLOTINI, A.; GRANDO, M. F.; STEFANATO, F.; BOYD, L. Genética da resistência de planta adulta à ferrugem da folha em trigo - cultivar Toropi. In: MOSTRA DE INICIAÇÃO CIENTÍFICA, 9.; MOSTRA DE PÓS-GRADUAÇÃO DA EMBRAPA TRIGO, 6., 2014, Passo Fundo. A construção de um cientista!: resumos. Brasília, DF: Embrapa, 2015. p. 53. Orientadora: Sandra Patussi Brammer.| Biblioteca(s): Embrapa Trigo. |
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| 14. | | GERHARDT, I. R.; GIACHETTO, P. F.; YAMAGISHI, M. E. B.; LOBO, F.; PENCHEL, R. M.; MISSIAGGIA, A. A.; ZERLOTINI, A.; SILVA, F. R. da. RNA-seq analysis of Eucalyptus genotypes that differ in carbon allocation. In: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY; STRUCTURAL BIOINFORMATICS AND COMPUTATIONAL BIOPHYSICS CONFERENCE MEETING, 8., 2012, Long Beach, California. Abstracts... [S.l.: s.n.], 2012. Não paginado. 1 Poster. ISMB 2012. Poster G19. Também publicado em: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 21.; EUROPEAN CONFERENCE ON COMPUTATIONAL BIOLOGY, 12., 2013, Berlin. Posters... Berlin: ISCB, 2013. Não paginado....| Biblioteca(s): Embrapa Agricultura Digital. |
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| 15. | | GERHARDT, I. R.; GIACHETTO, P. F.; YAMAGISHI, M. E. B.; LOBO, F. P.; PENCHEL, R. M.; MISSIAGGIA, A. A.; ZERLOTINI, A.; SILVA, F. R. da. RNA-seq analysis of Eucalyptus genotypes that differ in carbon allocation. In: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY; STRUCTURAL BIOINFORMATICS AND COMPUTATIONAL BIOPHYSICS CONFERENCE MEETING, 8., 2012, Long Beach, California. Abstracts. 1 Pôster. Poster G19.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Florestas. |
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| 16. | | GLENN, T. C.; LANCE, S. L.; MCKEE, A. M.; WEBSTER, B. L.; EMERY, A. M.; ZERLOTINI, A.; OLIVEIRA, G.; ROLLINSON, D.; FAIRCLOTH, B. C. Significant variance in genetic diversity among populations of Schistosoma haematobium detected using microsatellite DNA loci from a genome-wide database. Parasites & Vectors, v. 6, p. 1-12, 2013.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 17. | | GERHARDT, I. R.; ZERLOTINI, A.; GIACHETTO, P. F.; SILVA, F. R. da; LOBO, F.; PENCHEL, R. M.; MISSIAGGIA, A. A.; ARICETTI, J. A.; GIANOTTO, A. C.; CALDANA, C. Understanding molecular mechanisms of carbon allocation in Eucalyptus. In: INTERNATIONAL CONGRESS OF PLANT MOLECULAR BIOLOGY, 11., 2015, Iguassu Falls. Papers... [S.l.: s.n.], 2015. p. 514. p. 0551. IPMB 2015.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 18. | | CASASSOLA, A.; BRAMMER, S. P.; CHAVES, M. S.; NHANI JUNIOR, A.; KUSER-FALCÃO, P. R.; ZERLOTINI, A.; STEFANATO, F.; BOYD, L. Wheat transcriptome analysis targeting leaf rust resistance-related genes. In: INTERNATIONAL SOCIETY FOR COMPUTATIONAL BIOLOGY LATIN AMERICA X-MEETING ON BIOINFORMATICS, 3., THE BRAZILIAN SYMPOSIUM ON BIOINFORMATICS; SOIBIO, 2014, Belo Horizonte. Program... [S.l.]: International Society for Computational Biology, 2014. Não paginado. ISCB-Latin America 2014. Pôster D03.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 19. | | CRUZ, I. R. da C.; GERALDO, J. A.; LEITE, L. R.; ZERLOTINI, A.; ARAÚJO, F.; SILVA, M. V. G. B.; COIMBRA, R. S.; CARVALHO, M. R. S.; OLIVEIRA, G. Efficient gap-closure of eukaryotic genome sequence assemblies by third-generation sequencing. In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 8., 2012, Campinas. Abstract book... Ribeirão Preto: AB3C, 2012. Não paginado. X-MEETING 2012.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 20. | | SOUZA, M. M.; ZERLOTINI, A.; TIZIOTO, P. C.; OLIVEIRA, P. S. N.; SOMAVILLA, A. L.; MOKRY, F. B.; CESAR, A. S. M.; DINIZ, W. J. S.; MUDADU, M. A.; NICIURA, S. C. M.; COUTINHO, L. L.; REGITANO, L. C. A. Complex pattern of CAST allelic expression in bovine muscle tissue. In: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 22., 2014, Boston, USA. Program... [Boston]: International Society for Computational Biology, 2014. Não paginado. ISMB 2014. Pôster E13.| Biblioteca(s): Embrapa Agricultura Digital. |
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| Registros recuperados : 42 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
02/01/2014 |
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Data da última atualização: |
22/01/2020 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
CINTRA, L. C.; ZERLOTINI, A.; SILVA, F. R. da; LOBO, F. P.; YAMAGISHI, M. E. B.; KUSER-FALCÃO, P. R. K.; GIACHETTO, P. F. |
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Afiliação: |
LEANDRO CARRIJO CINTRA, CNPTIA; ADHEMAR ZERLOTINI NETO, CNPTIA; FELIPE RODRIGUES DA SILVA, CNPTIA; FRANCISCO PEREIRA LOBO, CNPTIA; MICHEL EDUARDO BELEZA YAMAGISHI, CNPTIA; PAULA REGINA KUSER FALCÃO, CNPTIA; POLIANA FERNANDA GIACHETTO, CNPTIA. |
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Título: |
Embrapa Bioinformatic Multi-user laboratory. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
In: INTERNATIONAL PLANT & ANIMAL GENOME, 21., 2013, San Diego. [Abstracts...]. [S.l.: s.n.], 2013. |
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Páginas: |
Não paginado. |
|
Idioma: |
Inglês |
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Notas: |
Pôster 1017. |
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Conteúdo: |
Recently Brazilian Agricultural Research Corporation (Embrapa) implemented the Embrapa Bioinformatic Multi-user Laboratory(LMB) that provides a central point of convergency for related bioinformatics issues in the organization, a high performance computing (HPC) infrastructure to be used by employees and partners on solution of computational intensive problems in bioinformatics, and principally, provides specialized collaborators to realize training, assist the elaboration of projects with bioinformatics components and in specific cases contribute to execute them. The importance of LMB is best understood when one takes into account the way Embrapa research centers are geographically located. The research centers are distributed among the several regions of the Brazil, and bioinformatic becames necessary in many of the projects developed all over the centers, most using considerable computational resources. How is inviable to replicate the HPC infrastructure in every locations, the practical solution is concentrate computational resources at a unique point and provide remote access to them. At human resources perspective, Embrapa has bioinformatics professionals working directly in the units, and is very important ensure they will communicate appropriately. LMB is a convergent point for bioinformaticians in the organization. Finally, The LMB has critical mass to explore complex problems in bioinformatics area. LMB´s infrastructure includes two HPC servers, each one with 512 GB RAM and 48 cores; one storage system and one tape library for backup. The users can execute their jobs by directly accessing the system through a ssh connection or using the Galaxy web system. LMB is also committed to education and training in bioinformatics by providing workshops and courses. MenosRecently Brazilian Agricultural Research Corporation (Embrapa) implemented the Embrapa Bioinformatic Multi-user Laboratory(LMB) that provides a central point of convergency for related bioinformatics issues in the organization, a high performance computing (HPC) infrastructure to be used by employees and partners on solution of computational intensive problems in bioinformatics, and principally, provides specialized collaborators to realize training, assist the elaboration of projects with bioinformatics components and in specific cases contribute to execute them. The importance of LMB is best understood when one takes into account the way Embrapa research centers are geographically located. The research centers are distributed among the several regions of the Brazil, and bioinformatic becames necessary in many of the projects developed all over the centers, most using considerable computational resources. How is inviable to replicate the HPC infrastructure in every locations, the practical solution is concentrate computational resources at a unique point and provide remote access to them. At human resources perspective, Embrapa has bioinformatics professionals working directly in the units, and is very important ensure they will communicate appropriately. LMB is a convergent point for bioinformaticians in the organization. Finally, The LMB has critical mass to explore complex problems in bioinformatics area. LMB´s infrastructure includes two HPC servers, each one with 512 G... Mostrar Tudo |
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Palavras-Chave: |
Bioinformática; Laboratório Multiusuário de Bioinformática. |
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Thesaurus NAL: |
Bioinformatics. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/94602/1/P1017.odt
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Marc: |
LEADER 02548nam a2200241 a 4500
001 1974773
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100 1 $aCINTRA, L. C.
245 $aEmbrapa Bioinformatic Multi-user laboratory.$h[electronic resource]
260 $aIn: INTERNATIONAL PLANT & ANIMAL GENOME, 21., 2013, San Diego. [Abstracts...]. [S.l.: s.n.]$c2013
300 $aNão paginado.
500 $aPôster 1017.
520 $aRecently Brazilian Agricultural Research Corporation (Embrapa) implemented the Embrapa Bioinformatic Multi-user Laboratory(LMB) that provides a central point of convergency for related bioinformatics issues in the organization, a high performance computing (HPC) infrastructure to be used by employees and partners on solution of computational intensive problems in bioinformatics, and principally, provides specialized collaborators to realize training, assist the elaboration of projects with bioinformatics components and in specific cases contribute to execute them. The importance of LMB is best understood when one takes into account the way Embrapa research centers are geographically located. The research centers are distributed among the several regions of the Brazil, and bioinformatic becames necessary in many of the projects developed all over the centers, most using considerable computational resources. How is inviable to replicate the HPC infrastructure in every locations, the practical solution is concentrate computational resources at a unique point and provide remote access to them. At human resources perspective, Embrapa has bioinformatics professionals working directly in the units, and is very important ensure they will communicate appropriately. LMB is a convergent point for bioinformaticians in the organization. Finally, The LMB has critical mass to explore complex problems in bioinformatics area. LMB´s infrastructure includes two HPC servers, each one with 512 GB RAM and 48 cores; one storage system and one tape library for backup. The users can execute their jobs by directly accessing the system through a ssh connection or using the Galaxy web system. LMB is also committed to education and training in bioinformatics by providing workshops and courses.
650 $aBioinformatics
653 $aBioinformática
653 $aLaboratório Multiusuário de Bioinformática
700 1 $aZERLOTINI, A.
700 1 $aSILVA, F. R. da
700 1 $aLOBO, F. P.
700 1 $aYAMAGISHI, M. E. B.
700 1 $aKUSER-FALCÃO, P. R. K.
700 1 $aGIACHETTO, P. F.
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Embrapa Agricultura Digital (CNPTIA) |
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