Kontrast
Czcionka:
Szczegółowa informacja o publikacji oznaczonej indntyfikatorem ISBN
Wszystkie metadane publikacji dostępne są pod stabilnym adresem URL:
https://e-isbn.pl/IsbnWeb/record/export_onix.xml?record_id=1489499
Opisy wszystkich publikacji tego wydawcy dostępne są pod stabilnym adresem URL:
https://e-isbn.pl/IsbnWeb/record/export_publisher_onix.xml?publisherId=2119
Opis fizyczny
Skład produktu
publikacja
Forma
forma podstawowa
publikacja elektroniczna on-line
Forma produktu
Publikacja elektroniczna online lub do ściągnięcia
szczegóły formy
PDF
słowny opis formy
plik .pdf z możliwością wydruku
Zawartość
zawartość podstawowa
Tekst (do odczytu wzrokowego)
zawartość dodatkowa
Ilustracje
Fotografie
Tabele, wykresy, diagramy, grafy
Wymiary/waga
szerokość
210
mm
wysokość
297 mm
Liczba stron / czas trwania / wielkość pliku
liczba stron numerowanych łącznie
94
Strony
Korzystanie z publikacji
nieograniczone
Opis bibliograficzny
Tytuł
From DNA sequence to biological meaning
Podtytuł
Student's book
Rocznik
2017
Twórca
autor
Kornelia Pollock
Wydanie
typ wydania
Wydanie cyfrowe (born digital)
numer wydania
1
miejsce wydania
Olsztyn, Gron
Język
język publikacji
angielski
Wydawca
imprint
Centre for Evolution, Genomics and Biomathematics, e-Gene
pełna nazwa wydawcy
Data
data wydania
2017-06-05
data upublicznienia metadanych
2017-06-05
Opis marketingowy
Spis treści
PART 1
BIOINFORMATICS AND GENETICS
1. Biological databases, 11
1.1 Model species at NCBI, 15
1.2 Genome projects at NCBI, 20
1.3 Internet resources, 30
2 Integrative Genomic Approaches , 34
Case study — plant tolerance to abiotic stress, 35
PART 2
TOOLS IN PROTEIN MODELLING, 40
3 Why Proteins?, 40
4 Protein Structure, 43
4.1 Primary structure, 43
4.2 Secondary structure, 46
4.3 Tertiary and quaternary structures , 47
5 Approaches to protein structure modelling, 49
5.1 Protein databases , 50
5.1.1 The CATH database, 51
5.1.2 Taxonomic system for protein structures, 51
5.2 Comparative modelling, 52
5.2.1 The 1st step — translation, 53
5.2.2 The 2nd step — physical properties of proteins, 54
5.2.3 The 3rd step — cellular localization and protein topology, 56
Cellular location, 56
Hydrophobic segments and transmembrane regions, 56
Signal peptides, 57
5.2.4 The 4th step — post-translational modifications, 57
Phosphorylation, 57
Sulfation, 58
Glycosylation, 58
Lipidation, 58
5.2.5 The 5th step — primary structure analysis, 59
Repeat searches, 59
Coiled regions, 59
5.2.6 The 6th step — domains assigning, 60
The number of domains, 60
Domain classification, 61
5.2.7 The 7th step — similarity searchers and pairwise alignment, 63
What does the sequence similarity mean?, 63
Pairwise alignment, 67
Basic Local Alignment Search Tool (BLAST), 72
5.2.8 The 8th step — multiple alignment, 77
Multiple alignment software, 78
Multiple alignment editors, 79
Features of good alignment, 79
5.2.9 The 9th step — modelling, 81
5.3. Fold recognition (threading), 80
5.4 Ab initio structure prediction, 82
5.5 Quality assessments programmes, 85
5.6 Perspectives and pitfalls, 87
LITERATURE CITED, 90
BIOINFORMATICS AND GENETICS
1. Biological databases, 11
1.1 Model species at NCBI, 15
1.2 Genome projects at NCBI, 20
1.3 Internet resources, 30
2 Integrative Genomic Approaches , 34
Case study — plant tolerance to abiotic stress, 35
PART 2
TOOLS IN PROTEIN MODELLING, 40
3 Why Proteins?, 40
4 Protein Structure, 43
4.1 Primary structure, 43
4.2 Secondary structure, 46
4.3 Tertiary and quaternary structures , 47
5 Approaches to protein structure modelling, 49
5.1 Protein databases , 50
5.1.1 The CATH database, 51
5.1.2 Taxonomic system for protein structures, 51
5.2 Comparative modelling, 52
5.2.1 The 1st step — translation, 53
5.2.2 The 2nd step — physical properties of proteins, 54
5.2.3 The 3rd step — cellular localization and protein topology, 56
Cellular location, 56
Hydrophobic segments and transmembrane regions, 56
Signal peptides, 57
5.2.4 The 4th step — post-translational modifications, 57
Phosphorylation, 57
Sulfation, 58
Glycosylation, 58
Lipidation, 58
5.2.5 The 5th step — primary structure analysis, 59
Repeat searches, 59
Coiled regions, 59
5.2.6 The 6th step — domains assigning, 60
The number of domains, 60
Domain classification, 61
5.2.7 The 7th step — similarity searchers and pairwise alignment, 63
What does the sequence similarity mean?, 63
Pairwise alignment, 67
Basic Local Alignment Search Tool (BLAST), 72
5.2.8 The 8th step — multiple alignment, 77
Multiple alignment software, 78
Multiple alignment editors, 79
Features of good alignment, 79
5.2.9 The 9th step — modelling, 81
5.3. Fold recognition (threading), 80
5.4 Ab initio structure prediction, 82
5.5 Quality assessments programmes, 85
5.6 Perspectives and pitfalls, 87
LITERATURE CITED, 90
Tekst promocyjny
“From DNA to biological meaning” is a short course of bioinformatics methods written from the point of view of the end user, who not necessarily would like to sink in a vast of theoretical considerations. This is for biologists who come across bioinformatics during their routine genetic experiments. For instance, they isolated DNA fragments and they are wondering what is the role of all these pieces but they do not want to invest too much time in exhausting modelling. The book is also dedicated to students who may need some modelling in their diploma works. Therefore the general idea was to describe interrelationships between bioinformatics and genetics, demonstrate available resources and possible applications in the simplest manner. It can be used as a set of instruction how to analyse “a piece of DNA”, navigate through never ending Internet resources and finally be aware of limitation. The book comprise two parts, first describes data bases, models and genome projects, while the second — is focused on selected computational tools especially useful to students interested in modern genetics. This book is followed by the second part dedicated to practising bioinformatics and being a kind of exercise book (“Modelling by example”).
The text is accompanied by numerous illustrations and photographs, all prepared specially for this publication by the Author. Links to selected software and data bases will be helpful in individual searches. Moreover, provided literature will make easier further studies and can serve as a starting point for own ideas.
The text is accompanied by numerous illustrations and photographs, all prepared specially for this publication by the Author. Links to selected software and data bases will be helpful in individual searches. Moreover, provided literature will make easier further studies and can serve as a starting point for own ideas.
Nota biograficzna
Kornelia Pollock is a geneticist with a broad experience in computational biology, genomics and evolutionary studies of a range of plant and animal taxa. For many years she was a researcher at the Silesian University, Szczecin University and University of Warmia and Mazury in Olsztyn, where she gained an enormous experience in graduate and postgraduate education delivering lectures from molecular genetics, plant genomics, genome annotation, molecular evolution, mutagenesis and quantitative genetics. She has also been involved in teaching mathematics.
Recently, she is the head of the Centre for Evolution, Genomics and Bioinformatics, mission of which is to translate large genome data into easy, web-based applications for the benefit of all people engaged in health, food and environment. In her work, Kornelia has cooperated with specialists from different fields representing both academia (e.g., University of Dundee, UK; Wageningen University, Netherlands, University of Southampton, UK; Leibniz University in Hannover, Germany) and industry (e.g., IT Breeding, Germany; Euformatics Oy, Finland; Tatra National Park, Poland). She has been involved in more than twenty national and European projects as well as she has experience in project evaluations for European Commission.
In her work, Kornelia combines knowledge from applied and evolutionary genetics with computational biology and bioinformatics. Her unique experience in experimental genetics together with mathematical skills enables her finding biological meaning in scattered information hidden in metadata representing several levels of biological organisation.
Recently, she is the head of the Centre for Evolution, Genomics and Bioinformatics, mission of which is to translate large genome data into easy, web-based applications for the benefit of all people engaged in health, food and environment. In her work, Kornelia has cooperated with specialists from different fields representing both academia (e.g., University of Dundee, UK; Wageningen University, Netherlands, University of Southampton, UK; Leibniz University in Hannover, Germany) and industry (e.g., IT Breeding, Germany; Euformatics Oy, Finland; Tatra National Park, Poland). She has been involved in more than twenty national and European projects as well as she has experience in project evaluations for European Commission.
In her work, Kornelia combines knowledge from applied and evolutionary genetics with computational biology and bioinformatics. Her unique experience in experimental genetics together with mathematical skills enables her finding biological meaning in scattered information hidden in metadata representing several levels of biological organisation.
Dystrybutor/Dystrybutorzy
Kornelia Polok
email egenenature@gmail.com
email egenetatry@gmail.com
Dostępna u dystrybutora
Tak
Kategoria statystyczna Biblioteki Narodowej
Publikacje naukowe
Kategoria Thema
YPMP1
Edukacja – biologia
Kategoria Thema
PSD
Biologia molekularna
Kategoria Thema
PSAX
Biologia obliczeniowa, bioinformatyka
Kategoria Thema
PSAK
Genetyka (niemedyczna)
Status/dostępność
Dostępność w handlu
Publikacja dostępna
Cena
brak ceny
cena jeszcze nieokreślona
Opis powiązań
Dodatkowy identyfikator
DOI
doi: 10.5281/zenodo.820140