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...
| Autores: | , , , |
|---|---|
| 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 |
| id |
CL_7f7a2f5264e2eca267100fd3eb574373 |
|---|---|
| oai_identifier_str |
oai:repositorio.anid.cl:10533/165831 |
| network_acronym_str |
CL |
| network_name_str |
Chile |
| repository_id_str |
|
| 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 info:eu-repo/semantics/publishedVersion |
| dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/bookPart |
| format |
bookPart |
| status_str |
publishedVersion |
| 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 978-1-4020-5588-1 978-1-4020-5589-8 |
| url |
https://hdl.handle.net/10533/165831 |
| 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 |
| repository.mail.fl_str_mv |
aletelier@anid.cl |
| _version_ |
1843518806077472768 |
| score |
15,812429 |