Bioinformatics:
Today, a single laboratory can generate a vast amount of biological data. There is a wealth of data already available in public databases, which makes the modern life sciences almost dependent on bioinformatics. This book brings together an international team of experts to discuss the state-of-the-a...
Gespeichert in:
Weitere Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Brisbane, Australia
Exon Publications
March 2021
|
Schlagworte: | |
Online-Zugang: | Volltext Volltext |
Zusammenfassung: | Today, a single laboratory can generate a vast amount of biological data. There is a wealth of data already available in public databases, which makes the modern life sciences almost dependent on bioinformatics. This book brings together an international team of experts to discuss the state-of-the-art from several fields of bioinformatics, from the automatic identification and classification of viruses to the analysis of the transcriptome of single cells and plants, including artificial intelligence algorithms to discover biomarkers and text mining approaches to help in the interpretation of the findings. Machine learning, pattern discovery and analysis, error correction, Bayesian inference and novel computational techniques to discover chromosomal rearrangements continue to play crucial roles in biological discovery, and all of them are explored in chapters of this book. In sum, this book contains high-quality chapters that provide excellent views into key topics of current bioinformatics research, topics that should remain important for the next several years. |
Beschreibung: | 1 Online-Ressource (xiii, 188 Seiten) |
ISBN: | 9780645001716 |
DOI: | 10.36255/exonpublications.bioinformatics.2021 |
Internformat
MARC
LEADER | 00000nmm a2200000 c 4500 | ||
---|---|---|---|
001 | BV048446011 | ||
003 | DE-604 | ||
007 | cr|uuu---uuuuu | ||
008 | 220829s2021 |||| o||u| ||||||eng d | ||
020 | |a 9780645001716 |9 978-0-6450017-1-6 | ||
024 | 7 | |a 10.36255/exonpublications.bioinformatics.2021 |2 doi | |
035 | |a (OCoLC)1344268206 | ||
035 | |a (DE-599)HEB497465191 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-12 |a DE-210 |a DE-521 |a DE-1102 |a DE-1046 |a DE-1028 |a DE-1050 |a DE-573 |a DE-M347 |a DE-92 |a DE-1051 |a DE-898 |a DE-859 |a DE-860 |a DE-1049 |a DE-863 |a DE-862 |a DE-Re13 |a DE-Y3 |a DE-255 |a DE-Y7 |a DE-Y2 |a DE-70 |a DE-2174 |a DE-127 |a DE-22 |a DE-155 |a DE-91 |a DE-384 |a DE-473 |a DE-19 |a DE-355 |a DE-703 |a DE-20 |a DE-706 |a DE-824 |a DE-29 |a DE-739 | ||
084 | |a WC 7700 |0 (DE-625)148144: |2 rvk | ||
084 | |a ST 640 |0 (DE-625)143686: |2 rvk | ||
245 | 1 | 0 | |a Bioinformatics |c edited by Helder I. Nakaya, PhD, Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo, Brazil |
264 | 1 | |a Brisbane, Australia |b Exon Publications |c March 2021 | |
264 | 2 | |a The Hague |b OAPEN FOUNDATION | |
300 | |a 1 Online-Ressource (xiii, 188 Seiten) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
520 | 3 | |a Today, a single laboratory can generate a vast amount of biological data. There is a wealth of data already available in public databases, which makes the modern life sciences almost dependent on bioinformatics. This book brings together an international team of experts to discuss the state-of-the-art from several fields of bioinformatics, from the automatic identification and classification of viruses to the analysis of the transcriptome of single cells and plants, including artificial intelligence algorithms to discover biomarkers and text mining approaches to help in the interpretation of the findings. Machine learning, pattern discovery and analysis, error correction, Bayesian inference and novel computational techniques to discover chromosomal rearrangements continue to play crucial roles in biological discovery, and all of them are explored in chapters of this book. In sum, this book contains high-quality chapters that provide excellent views into key topics of current bioinformatics research, topics that should remain important for the next several years. | |
650 | 0 | 7 | |a Bioinformatik |0 (DE-588)4611085-9 |2 gnd |9 rswk-swf |
653 | |a Text Mining Gene Selection; Biological Big Data; Single-Cell RNA Sequencing; Large-Scale Structural Rearrangements in Chromosomes; Machine Learning Approaches; Biomarker Discovery; Gene Expression Data; Bayesian Inference of Gene Expression; Error-Correction Methodologies; Genome Sequencing Data; Plant Transcriptome Assembly; Aligned Pattern Clustering System; Pattern Analysis; Hidden Markov Models; Viral Classification and Discovery; Pattern Discovery and Disentanglement; Aligned Pattern Cluster Analysis; Protein Binding Complexes Detection | ||
655 | 7 | |0 (DE-588)4143413-4 |a Aufsatzsammlung |2 gnd-content | |
689 | 0 | 0 | |a Bioinformatik |0 (DE-588)4611085-9 |D s |
689 | 0 | |5 DE-604 | |
700 | 1 | |a Nakaya, Helder I. |d 1978- |0 (DE-588)1266502572 |4 edt | |
856 | 4 | 0 | |u https://directory.doabooks.org/handle/20.500.12854/81836 |x Verlag |z kostenfrei |3 Volltext |
856 | 4 | 0 | |u https://doi.org/10.36255/exonpublications.bioinformatics.2021 |x Verlag |z kostenfrei |3 Volltext |
912 | |a ZDB-94-OAB | ||
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-033824243 |
Datensatz im Suchindex
_version_ | 1813306137244598272 |
---|---|
adam_text | |
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author2 | Nakaya, Helder I. 1978- |
author2_role | edt |
author2_variant | h i n hi hin |
author_GND | (DE-588)1266502572 |
author_facet | Nakaya, Helder I. 1978- |
building | Verbundindex |
bvnumber | BV048446011 |
classification_rvk | WC 7700 ST 640 |
collection | ZDB-94-OAB |
ctrlnum | (OCoLC)1344268206 (DE-599)HEB497465191 |
discipline | Biologie Informatik |
discipline_str_mv | Biologie Informatik |
doi_str_mv | 10.36255/exonpublications.bioinformatics.2021 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nmm a2200000 c 4500</leader><controlfield tag="001">BV048446011</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">220829s2021 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780645001716</subfield><subfield code="9">978-0-6450017-1-6</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.36255/exonpublications.bioinformatics.2021</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1344268206</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)HEB497465191</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-12</subfield><subfield code="a">DE-210</subfield><subfield code="a">DE-521</subfield><subfield code="a">DE-1102</subfield><subfield code="a">DE-1046</subfield><subfield code="a">DE-1028</subfield><subfield code="a">DE-1050</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-M347</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-1051</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-859</subfield><subfield code="a">DE-860</subfield><subfield code="a">DE-1049</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-862</subfield><subfield code="a">DE-Re13</subfield><subfield code="a">DE-Y3</subfield><subfield code="a">DE-255</subfield><subfield code="a">DE-Y7</subfield><subfield code="a">DE-Y2</subfield><subfield code="a">DE-70</subfield><subfield code="a">DE-2174</subfield><subfield code="a">DE-127</subfield><subfield code="a">DE-22</subfield><subfield code="a">DE-155</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-384</subfield><subfield code="a">DE-473</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-739</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">WC 7700</subfield><subfield code="0">(DE-625)148144:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 640</subfield><subfield code="0">(DE-625)143686:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Bioinformatics</subfield><subfield code="c">edited by Helder I. Nakaya, PhD, Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo, Brazil</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Brisbane, Australia</subfield><subfield code="b">Exon Publications</subfield><subfield code="c">March 2021</subfield></datafield><datafield tag="264" ind1=" " ind2="2"><subfield code="a">The Hague</subfield><subfield code="b">OAPEN FOUNDATION</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xiii, 188 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">Today, a single laboratory can generate a vast amount of biological data. There is a wealth of data already available in public databases, which makes the modern life sciences almost dependent on bioinformatics. This book brings together an international team of experts to discuss the state-of-the-art from several fields of bioinformatics, from the automatic identification and classification of viruses to the analysis of the transcriptome of single cells and plants, including artificial intelligence algorithms to discover biomarkers and text mining approaches to help in the interpretation of the findings. Machine learning, pattern discovery and analysis, error correction, Bayesian inference and novel computational techniques to discover chromosomal rearrangements continue to play crucial roles in biological discovery, and all of them are explored in chapters of this book. In sum, this book contains high-quality chapters that provide excellent views into key topics of current bioinformatics research, topics that should remain important for the next several years.</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Bioinformatik</subfield><subfield code="0">(DE-588)4611085-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Text Mining Gene Selection; Biological Big Data; Single-Cell RNA Sequencing; Large-Scale Structural Rearrangements in Chromosomes; Machine Learning Approaches; Biomarker Discovery; Gene Expression Data; Bayesian Inference of Gene Expression; Error-Correction Methodologies; Genome Sequencing Data; Plant Transcriptome Assembly; Aligned Pattern Clustering System; Pattern Analysis; Hidden Markov Models; Viral Classification and Discovery; Pattern Discovery and Disentanglement; Aligned Pattern Cluster Analysis; Protein Binding Complexes Detection</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4143413-4</subfield><subfield code="a">Aufsatzsammlung</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Bioinformatik</subfield><subfield code="0">(DE-588)4611085-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Nakaya, Helder I.</subfield><subfield code="d">1978-</subfield><subfield code="0">(DE-588)1266502572</subfield><subfield code="4">edt</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://directory.doabooks.org/handle/20.500.12854/81836</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.36255/exonpublications.bioinformatics.2021</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-94-OAB</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033824243</subfield></datafield></record></collection> |
genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content |
genre_facet | Aufsatzsammlung |
id | DE-604.BV048446011 |
illustrated | Not Illustrated |
index_date | 2024-07-03T20:29:13Z |
indexdate | 2024-10-19T04:04:50Z |
institution | BVB |
isbn | 9780645001716 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033824243 |
oclc_num | 1344268206 |
open_access_boolean | 1 |
owner | DE-12 DE-210 DE-521 DE-1102 DE-1046 DE-1028 DE-1050 DE-573 DE-M347 DE-92 DE-1051 DE-898 DE-BY-UBR DE-859 DE-860 DE-1049 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-Re13 DE-BY-UBR DE-Y3 DE-255 DE-Y7 DE-Y2 DE-70 DE-2174 DE-127 DE-22 DE-BY-UBG DE-155 DE-BY-UBR DE-91 DE-BY-TUM DE-384 DE-473 DE-BY-UBG DE-19 DE-BY-UBM DE-355 DE-BY-UBR DE-703 DE-20 DE-706 DE-824 DE-29 DE-739 |
owner_facet | DE-12 DE-210 DE-521 DE-1102 DE-1046 DE-1028 DE-1050 DE-573 DE-M347 DE-92 DE-1051 DE-898 DE-BY-UBR DE-859 DE-860 DE-1049 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-Re13 DE-BY-UBR DE-Y3 DE-255 DE-Y7 DE-Y2 DE-70 DE-2174 DE-127 DE-22 DE-BY-UBG DE-155 DE-BY-UBR DE-91 DE-BY-TUM DE-384 DE-473 DE-BY-UBG DE-19 DE-BY-UBM DE-355 DE-BY-UBR DE-703 DE-20 DE-706 DE-824 DE-29 DE-739 |
physical | 1 Online-Ressource (xiii, 188 Seiten) |
psigel | ZDB-94-OAB |
publishDate | 2021 |
publishDateSearch | 2021 |
publishDateSort | 2021 |
publisher | Exon Publications |
record_format | marc |
spellingShingle | Bioinformatics Bioinformatik (DE-588)4611085-9 gnd |
subject_GND | (DE-588)4611085-9 (DE-588)4143413-4 |
title | Bioinformatics |
title_auth | Bioinformatics |
title_exact_search | Bioinformatics |
title_exact_search_txtP | Bioinformatics |
title_full | Bioinformatics edited by Helder I. Nakaya, PhD, Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo, Brazil |
title_fullStr | Bioinformatics edited by Helder I. Nakaya, PhD, Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo, Brazil |
title_full_unstemmed | Bioinformatics edited by Helder I. Nakaya, PhD, Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo, Brazil |
title_short | Bioinformatics |
title_sort | bioinformatics |
topic | Bioinformatik (DE-588)4611085-9 gnd |
topic_facet | Bioinformatik Aufsatzsammlung |
url | https://directory.doabooks.org/handle/20.500.12854/81836 https://doi.org/10.36255/exonpublications.bioinformatics.2021 |
work_keys_str_mv | AT nakayahelderi bioinformatics |