Bioinformatics / / edited by Helder I. Nakaya.
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...
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Place / Publishing House: | Brisbane, AU : : Exon Publications,, [2021] ©2021 |
Year of Publication: | 2021 |
Language: | English |
Physical Description: | 1 online resource (xiii, 188 pages) :; illustrations |
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100 | 1 | |a Nakaya, Helder I |4 edt | |
245 | 0 | 0 | |a Bioinformatics / |c edited by Helder I. Nakaya. |
260 | |a Australia |b Exon Publications |c 2021 | ||
264 | 1 | |a Brisbane, AU : |b Exon Publications, |c [2021] | |
264 | 4 | |c ©2021 | |
300 | |a 1 online resource (xiii, 188 pages) : |b illustrations | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
588 | |a Description based on: online resource; title from PDF information screen (NCBI, viewed November 05, 2022). | ||
504 | |a Includes bibliographical references. | ||
506 | |a Open access |f Unrestricted online access |2 star | ||
520 | |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. | ||
546 | |a English | ||
650 | 0 | |a Bioinformatics. | |
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 | ||
776 | |z 0-645-00171-6 | ||
700 | 1 | |a Nakaya, Helder I., |e editor. | |
906 | |a BOOK | ||
ADM | |b 2024-06-19 06:42:29 Europe/Vienna |f system |c marc21 |a 2021-12-11 21:44:03 Europe/Vienna |g false | ||
AVE | |i DOAB Directory of Open Access Books |P DOAB Directory of Open Access Books |x https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5338835470004498&Force_direct=true |Z 5338835470004498 |b Available |8 5338835470004498 |