THE USE OF BIOINFORMATICS AND GENOME BIOLOGY TO ADVANCE OUR UNDERSTANDING OF BIOLEACHING MICROORGANISMS

With about 300 fully sequenced bacterial and archaeal genomes and with additional information of hundreds of thousands of DNA and protein sequences in public databases it is possible to predict genes and their putative protein products in DNA sequences derived from genome sequencing projects. In abo...

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Detalhes bibliográficos
Autores: Holmes, David Salway, Jedlicki Corbeaux, Eugenia Maria, Quatrini Nyqvist, Raquel Clara, Valdes, Jorge
Formato: capítulo de livro
Estado:Versión publicada
Fecha de publicación:2007
País:Chile
Idioma:inglés
OAI Identifier:oai:repositorio.anid.cl:10533/165831
Acesso em linha:https://hdl.handle.net/10533/165831
Access Level:acceso abierto
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spelling Holmes, David SalwayJedlicki Corbeaux, Eugenia MariaQuatrini Nyqvist, Raquel ClaraValdes, Jorge2007https://hdl.handle.net/10533/16583110.1007/1-4020-5589-7http://purl.org/coar/access_right/c_abf2THE USE OF BIOINFORMATICS AND GENOME BIOLOGY TO ADVANCE OUR UNDERSTANDING OF BIOLEACHING MICROORGANISMS239221HOLANDAHolmes, David SalwayJedlicki Corbeaux, Eugenia MariaQuatrini Nyqvist, Raquel ClaraValdes, JorgeDonati, Edgardo R.Sand, Wolfgang2016-12-27T21:51:18Z2022-06-17T20:40:52Z2016-12-27T21:51:18Z2022-06-17T20:40:52Z2007With about 300 fully sequenced bacterial and archaeal genomes and with additional information of hundreds of thousands of DNA and protein sequences in public databases it is possible to predict genes and their putative protein products in DNA sequences derived from genome sequencing projects. In about 60% of the cases putative functions can be assigned to the predicted proteins. These assignments can range from near certainty to deep speculation, highlighting the need for subsequent experimental validation of the predictions. High-throughput sequencing, microarray screening and protein expression profiling technologies drive discovery efforts in today's genomics and proteomic laboratories. These tools allow researchers to generate massive amounts of data, at a rate orders of magnitude greater than scientists ever anticipated. In this chapter, we provide a general overview of how bioinformatics and genome biology can provide insight into the genomic organization and function of biomining microorganisms with a special reference to Acidithiobacillus ferrooxidans about which most is known. Bioinformatics and genome biology are effective tools for making preliminary inroads into how an otherwise uncharacterized organism functions. It is particularly powerful in cases where it is difficult to implement conventional genetic tools such as in the case of several bioleaching microorganisms. Bioinformatics and genome biology are effective tools for making preliminary inroads into how an otherwise uncharacterized organism functions. It is particularly powerful in cases where it is difficult to implement conventional genetic tools such as in the case of several bioleaching microorganisms and results are beginning to emerge to support this view (e.g. Selkov et al., 2000; Barreto et al., 2003; Appia-Ayme, 2005; Quatrinia et al., 2005).The Use Of Bioinformatics And Genome Biology To Advance Our Understanding Of Bioleaching Microorganisms (PDF Download Available). Available from:FONDECYT326FONDECYT1050063978-1-4020-5588-1978-1-4020-5589-8https://hdl.handle.net/10533/165831engSPRINGERinstname: Conicytreponame: Repositorio Digital RI2.0instname: Conicytreponame: Repositorio Digital RI 2.010.1007/1-4020-5589-7info:eu-repo/grantAgreement/Fondecyt/1050063info:eu-repo/semantics/dataset/hdl.handle.net/10533/93479http://link.springer.com/book/10.1007%2F1-4020-5589-7info:eu-repo/semantics/openAccessTHE USE OF BIOINFORMATICS AND GENOME BIOLOGY TO ADVANCE OUR UNDERSTANDING OF BIOLEACHING MICROORGANISMSMICROBIAL PROCESSING OF METAL SULFIDESCapitulo de libroinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookPartCapituloLibrohttps://hdl.handle.net/10533/165831FONDECYThttp://purl.org/coar/resource_type/c_32486d4131c6-9520-4cde-addf-c10e8cab9e5cvirtual::12727-16d4131c6-9520-4cde-addf-c10e8cab9e5cvirtual::12727-110533/165831oai:repositorio.anid.cl:10533/1658312023-07-04 00:40:17.732https://repositorio.anid.clRepositorio ANIDaletelier@anid.cl
dc.title.none.fl_str_mv THE USE OF BIOINFORMATICS AND GENOME BIOLOGY TO ADVANCE OUR UNDERSTANDING OF BIOLEACHING MICROORGANISMS
dc.title.libro.none.fl_str_mv MICROBIAL PROCESSING OF METAL SULFIDES
title THE USE OF BIOINFORMATICS AND GENOME BIOLOGY TO ADVANCE OUR UNDERSTANDING OF BIOLEACHING MICROORGANISMS
spellingShingle THE USE OF BIOINFORMATICS AND GENOME BIOLOGY TO ADVANCE OUR UNDERSTANDING OF BIOLEACHING MICROORGANISMS
Holmes, David Salway
title_short THE USE OF BIOINFORMATICS AND GENOME BIOLOGY TO ADVANCE OUR UNDERSTANDING OF BIOLEACHING MICROORGANISMS
title_full THE USE OF BIOINFORMATICS AND GENOME BIOLOGY TO ADVANCE OUR UNDERSTANDING OF BIOLEACHING MICROORGANISMS
title_fullStr THE USE OF BIOINFORMATICS AND GENOME BIOLOGY TO ADVANCE OUR UNDERSTANDING OF BIOLEACHING MICROORGANISMS
title_full_unstemmed THE USE OF BIOINFORMATICS AND GENOME BIOLOGY TO ADVANCE OUR UNDERSTANDING OF BIOLEACHING MICROORGANISMS
title_sort THE USE OF BIOINFORMATICS AND GENOME BIOLOGY TO ADVANCE OUR UNDERSTANDING OF BIOLEACHING MICROORGANISMS
dc.creator.none.fl_str_mv Holmes, David Salway
Jedlicki Corbeaux, Eugenia Maria
Quatrini Nyqvist, Raquel Clara
Valdes, Jorge
dc.creator.libro.none.fl_str_mv Donati, Edgardo R.
Sand, Wolfgang
author Holmes, David Salway
author_facet Holmes, David Salway
Jedlicki Corbeaux, Eugenia Maria
Quatrini Nyqvist, Raquel Clara
Valdes, Jorge
author_role author
author2 Jedlicki Corbeaux, Eugenia Maria
Quatrini Nyqvist, Raquel Clara
Valdes, Jorge
author2_role author
author
author
description With about 300 fully sequenced bacterial and archaeal genomes and with additional information of hundreds of thousands of DNA and protein sequences in public databases it is possible to predict genes and their putative protein products in DNA sequences derived from genome sequencing projects. In about 60% of the cases putative functions can be assigned to the predicted proteins. These assignments can range from near certainty to deep speculation, highlighting the need for subsequent experimental validation of the predictions. High-throughput sequencing, microarray screening and protein expression profiling technologies drive discovery efforts in today's genomics and proteomic laboratories. These tools allow researchers to generate massive amounts of data, at a rate orders of magnitude greater than scientists ever anticipated. In this chapter, we provide a general overview of how bioinformatics and genome biology can provide insight into the genomic organization and function of biomining microorganisms with a special reference to Acidithiobacillus ferrooxidans about which most is known. Bioinformatics and genome biology are effective tools for making preliminary inroads into how an otherwise uncharacterized organism functions. It is particularly powerful in cases where it is difficult to implement conventional genetic tools such as in the case of several bioleaching microorganisms. Bioinformatics and genome biology are effective tools for making preliminary inroads into how an otherwise uncharacterized organism functions. It is particularly powerful in cases where it is difficult to implement conventional genetic tools such as in the case of several bioleaching microorganisms and results are beginning to emerge to support this view (e.g. Selkov et al., 2000; Barreto et al., 2003; Appia-Ayme, 2005; Quatrinia et al., 2005).The Use Of Bioinformatics And Genome Biology To Advance Our Understanding Of Bioleaching Microorganisms (PDF Download Available). Available from:
publishDate 2007
dc.date.issued.none.fl_str_mv 2007
dc.date.accessioned.none.fl_str_mv 2016-12-27T21:51:18Z
2022-06-17T20:40:52Z
dc.date.available.none.fl_str_mv 2016-12-27T21:51:18Z
2022-06-17T20:40:52Z
dc.type.none.fl_str_mv Capitulo de libro
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dc.identifier.folio.none.fl_str_mv 1050063
dc.identifier.isbn.none.fl_str_mv 978-1-4020-5588-1
978-1-4020-5589-8
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/10533/165831
identifier_str_mv 1050063
978-1-4020-5588-1
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dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv instname: Conicyt
reponame: Repositorio Digital RI2.0
instname: Conicyt
reponame: Repositorio Digital RI 2.0
dc.relation.doi.none.fl_str_mv 10.1007/1-4020-5589-7
dc.relation.projectid.none.fl_str_mv info:eu-repo/grantAgreement/Fondecyt/1050063
dc.relation.set.none.fl_str_mv info:eu-repo/semantics/dataset/hdl.handle.net/10533/93479
dc.relation.uri.none.fl_str_mv http://link.springer.com/book/10.1007%2F1-4020-5589-7
dc.rights.driver.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.editorial.none.fl_str_mv SPRINGER
repository.name.fl_str_mv Repositorio ANID
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