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  • 1
    Online Resource
    Online Resource
    Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg
    Keywords: Bioinformatics ; Life Sciences ; Computer science ; Biology Data processing ; Mathematics ; Biology Mathematics ; Computational Biology methods ; Medical Informatics ; Bioinformatik
    Description / Table of Contents: Die Autoren führen von den mathematischen Grundlagen zu den konkreten bioinformatischen Methoden und den fertigen Soft-warewerkzeugen. Ein besonderes Highlight sind die Mathematica-Exkurse. Schritt für Schritt wird die Implementierung wichtiger bioinformatischer Algorithmen im Computeralgebra-Programm Mathematica vorgeführt.
    Type of Medium: Online Resource
    Pages: Online-Ressource , v.: digital
    Edition: Online-Ausg. 2006 Springer eBook Collection. Biomedical and Life Sciences
    ISBN: 9783540329541
    Series Statement: Springer-Lehrbuch
    RVK:
    RVK:
    Language: German
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  • 2
    Keywords: Bioinformatics ; Bioinformatics ; Life sciences Data processing ; Computational Biology methods ; Medical Informatics ; Lehrbuch ; Bioinformatik
    Type of Medium: Book
    Pages: XV, 334 S. , Ill., zahlr. graph. Darst. , 24 cm
    ISBN: 3540256873 , 9783540256878
    Series Statement: Springer-Lehrbuch
    RVK:
    RVK:
    Language: German
    Note: Literaturangaben , Skizze des Fachs -- Statistische Analyse von DNA-Sequenzen -- Praktische Bioinformatik -- Informationstheorie und statistische Eigenschaften von Genomen -- Neue Entwicklungen und angrenzende Themenfelder.
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  • 3
    Publication Date: 2024-04-10
    Description: Sea ice is a key factor for the functioning and services provided by polar marine ecosystems. However, ecosystem responses to sea-ice loss are largely unknown because time-series data are lacking. Here, we use shotgun metagenomics of marine sedimentary ancient DNA off Kamchatka (Western Bering Sea) covering the last ~20,000 years. We traced shifts from a sea ice-adapted late-glacial ecosystem, characterized by diatoms, copepods, and codfish to an ice-free Holocene characterized by cyanobacteria, salmon, and herring. By providing information about marine ecosystem dynamics across a broad taxonomic spectrum, our data show that ancient DNA will be an important new tool in identifying long-term ecosystem responses to climate transitions for improvements of ocean and cryosphere risk assessments. We conclude that continuing sea-ice decline on the northern Bering Sea shelf might impact on carbon export and disrupt benthic food supply and could allow for a northward expansion of salmon and Pacific herring.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 4
    Publication Date: 2023-04-01
    Description: We applied metagenomic shotgun sequencing to a sedimentary ancient DNA (sedaDNA) record from the North Pacific (off Kamchatka) covering the last 20,000 years to trace temporal changes in ecosystem composition and food webs. This dataset contains count data before re-sampling for (1) phototrophic bacterial and eukaryotic pelagic families, (2) and eukaryotic benthic families, and (3) a list of families, their grouping into habitat (pelagic/benthic) and trophic status (phototrophic/heterotrophic), the taxonomic group to which the family belongs, the resampled number of read counts used for the formal analysis, links (edges) in the pelagic network, and Spearman correlation coefficients (ρ〉0.2) and Benjamini-Hochberg adjusted p-values between families and environmental variables (SSTs and IP25). Associated sequencing data, on which the taxonomic classifications are based on, can be found at the European Nucleotide Archive (ENA) under BIOPROJECT: PRJEB46821.
    Keywords: AWI_Envi; Polar Terrestrial Environmental Systems @ AWI
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 5
    Publication Date: 2023-06-27
    Keywords: Algae & Protists; AWI_Envi; Calculated; Coefficient; Counts; Ecology & Environment; Family; Habitat; IP25 adjusted p-value; IP25 Spearman's rho; KALMAR II; Kronotsky Peninsula; Number; PC; Piston corer; Polar Terrestrial Environmental Systems @ AWI; p-value; SO201/2; SO201-2-12KL; Sonne; SST adjusted p-value; SST Spearman's rho; Taxon/taxa
    Type: Dataset
    Format: text/tab-separated-values, 1277 data points
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  • 6
    Publication Date: 2023-08-02
    Keywords: Acanthasteridae; Acroporidae; Actiniidae; Agaraceae; AGE; Aglajidae; Aiptasiidae; Alariaceae; Alcyoniidae; Algae & Protists; Allocrangonyctidae; Ammotheidae; Ampullariidae; Aplysiidae; Aporocotylidae; Arcidae; Ascidiidae; Asellidae; Asteriidae; Asterinidae; AWI_Envi; Balanidae; Bangiaceae; Batrachospermaceae; Boldiaceae; Buccinidae; Camaenidae; Capitellidae; Cardiidae; Ceramiaceae; Cercomonadidae; Champiaceae; Chordaceae; Chordariaceae; Cionidae; Clausiliidae; Comatulidae; Conidae; Corallinaceae; Cyanidiaceae; Cypridinidae; Daphniidae; Dasyaceae; Delesseriaceae; Dictyotaceae; Didiniidae; Dixoniellaceae; Dugesiidae; Echinometridae; Ecology & Environment; Ectocarpaceae; Edwardsiidae; Endocladiaceae; Erythrotrichiaceae; Fucaceae; Galaxauraceae; Gelidiaceae; Gigartinaceae; Gracilariaceae; Haliotidae; Halymeniaceae; Harpacticidae; Hildenbrandiaceae; Holostichidae; Hyalellidae; Hyalidae; Hydractiniidae; Kallymeniaceae; KALMAR II; Kronotsky Peninsula; Laminariaceae; Laqueidae; Lessoniaceae; Liagoraceae; Limulidae; Lingulidae; Littorinidae; Lottiidae; Lumbricidae; Lymnaeidae; Lysianassidae; Macrostomidae; Mactridae; Maldanidae; Mastigamoebidae; Megascolecidae; Merulinidae; Molgulidae; Muricidae; Mytilidae; Nephropidae; Nephtheidae; Nereididae; Niphatidae; Oikopleuridae; Ostreidae; Oxystominidae; Palaemonidae; Palmariaceae; Parastacidae; PC; Pectinidae; Penaeidae; Peyssonneliaceae; Philasteridae; Philodinidae; Phyllophoraceae; Piston corer; Pocilloporidae; Polar Terrestrial Environmental Systems @ AWI; Pollicipedidae; Porphyridiaceae; Portunidae; Priapulidae; Protaspidae; Pteriidae; Pterocladiaceae; Pyuridae; Raperosteliaceae; Rhodochaetaceae; Rhodogorgonaceae; Rhodomelaceae; Rhodymeniaceae; Rhytididae; Rossellidae; Sargassaceae; Scalibregmatidae; Schizymeniaceae; Scytosiphonaceae; Sebdeniaceae; Serpulidae; Sertulariidae; Shotgun counts; Siboglinidae; SO201/2; SO201-2-12KL; Solecurtidae; Solieriaceae; Sonne; Spionidae; Stichopodidae; Strongylocentrotidae; Styelidae; Stylonemataceae; Suberitidae; Tellinidae; Tetragonicipitidae; Trichoplacidae; Unionidae; Varunidae; Veneridae; Vesicomyidae; Wrangeliaceae; Zosteraceae
    Type: Dataset
    Format: text/tab-separated-values, 3525 data points
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  • 7
    Publication Date: 2023-07-10
    Keywords: Acanthocerataceae; Acartiidae; Acaryochloridaceae; Acipenseridae; Adinetidae; AGE; Algae & Protists; Amoebophryaceae; Amphipleuraceae; Anarhichadidae; Anaulaceae; Anguillidae; Anomoeoneidaceae; Aphanizomenonaceae; Aphanothecaceae; Apogonidae; Apusomonadidae; Asellidae; Attheyaceae; AWI_Envi; Bacillariaceae; Balaenidae; Balaenopteridae; Bathycoccaceae; Batrachoididae; Biddulphiaceae; Blenniidae; Bovichtidae; Brachionidae; Bracteacoccaceae; Bryopsidaceae; Calanidae; Callorhinchidae; Calotrichaceae; Carangidae; Carcharhinidae; Caulerpaceae; Chaetocerotaceae; Chaetophoraceae; Chamaesiphonaceae; Channichthyidae; Characeae; Chattonellaceae; Chlamydomonadaceae; Chlorellaceae; Chlorobiaceae; Chlorococcaceae; Chlorocystidaceae; Chlorodendraceae; Chloroflexaceae; Chloropicaceae; Chromeraceae; Chromulinaceae; Chroococcaceae; Chroococcidiopsidaceae; Chroomonadaceae; Chrysochromulinaceae; Cirratulidae; Closteriaceae; Clupeidae; Codiaceae; Coelacanthidae; Coleochaetaceae; Coleofasciculaceae; Collodictyonidae; Collophidiidae; Collosphaeridae; Collozoidae; Coscinodiscaceae; Cottidae; Cryptomonadaceae; Cyaneidae; Cyanidiaceae; Cyanophoraceae; Cyanothecaceae; Cyclopettidae; Cyclopteridae; Cymatosiraceae; Delphinidae; Dermocarpellaceae; Desmidiaceae; Diplonemidae; Dunaliellaceae; Ebriacea; Ecology & Environment; Eirenidae; Engraulidae; Entomoneidaceae; Eucalanidae; Euglenaceae; Eunotiaceae; Euphausiidae; Euplotidae; Eustigmataceae; Fonticulaceae; Fragilariaceae; Fundulidae; Gadidae; Gasterosteidae; Geminigeraceae; Ginglymostomatidae; Glaucocystaceae; Globorotaliidae; Gloeobacteraceae; Gloeochaetaceae; Gloeomargaritaceae; Gobiidae; Golenkiniaceae; Gomontiellaceae; Gomphonemataceae; Gonatozygaceae; Gonyaulacaceae; Gymnodiniaceae; Haematococcaceae; Halimedaceae; Hapalosiphonaceae; Heliobacteriaceae; Heliopeltaceae; Hemiaulaceae; Hemidiscaceae; Hemiselmidaceae; Heterocapsaceae; Hexamitidae; Histionidae; Holocentridae; Hydridae; Hydrodictyaceae; Hyellaceae; Isochrysidaceae; Jakobidae; KALMAR II; Kareniaceae; Klebsormidiaceae; Koliellaceae; Kronotsky Peninsula; Kryptoperidiniaceae; Lateolabracidae; Leptocylindraceae; Leptolyngbyaceae; Licmophoraceae; Lipotidae; Lithodesmiaceae; Mallomonadaceae; Mamiellaceae; Merismopediaceae; Mesodiniidae; Mesotaeniaceae; Metopidae; Metridinidae; Microcoleaceae; Microcystaceae; Microsporaceae; Microthamniaceae; Moinidae; Monodontidae; Monodopsidaceae; Monomastigaceae; Mustelidae; Mychonastaceae; Myctophidae; Myxinidae; Naviculaceae; Nephroselmidaceae; Noelaerhabdaceae; Nostocaceae; Octopodidae; Oculatellaceae; Odobenidae; Oedogoniaceae; Oithonidae; Oocystaceae; Oscillatoriaceae; Osmeridae; Ostreobiaceae; Otariidae; Oxytrichidae; Palmellaceae; Palmophyllaceae; Paralichthyidae; Parameciidae; Paulinellidae; Pavlovaceae; PC; Pedinomonadaceae; Pelagiidae; Perkinsidae; Petromyzontidae; Pfiesteriaceae; Phacaceae; Phaeocystaceae; Phaeodactylaceae; Phocidae; Phocoenidae; Physeteridae; Piston corer; Plagiogrammaceae; Pleurastraceae; Pleuronectidae; Pleurosigmataceae; Polar Terrestrial Environmental Systems @ AWI; Polynoidae; Prasinococcaceae; Prasiolaceae; Prochloraceae; Prochlorotrichaceae; Prorocentraceae; Protoperidiniaceae; Prymnesiaceae; Pseudanabaenaceae; Pycnococcaceae; Pyramimonadaceae; Pyrenomonadaceae; Pyrocystaceae; Radiococcaceae; Rajidae; Rhincodontidae; Rhizosoleniaceae; Rivulariaceae; Roseiflexaceae; Rotaliidae; Sagittidae; Salmonidae; Salpingoecidae; Sarcinofilaceae; Scenedesmaceae; Sciaenidae; Scyliorhinidae; Scytonemataceae; Sebastidae; Selenastraceae; Serranidae; Shotgun counts; Siphonocladaceae; Skeletonemataceae; SO201/2; SO201-2-12KL; Sonne; Sparidae; Sphaeropleaceae; Sphaerozoidae; Staurosiraceae; Stephanodiscaceae; Stephanoecidae; Sticholonchidae; Stigonemataceae; Strombidiidae; Suessiaceae; Symbiodiniaceae; Syndiniaceae; Synechococcaceae; Syngnathidae; Temoridae; Terebellidae; Tetrahymenidae; Tetraodontidae; Thalassiosiraceae; Thaumatomastigidae; Thraustochytriaceae; Tolypothrichaceae; Toxariaceae; Trebouxiaceae; Triceratiaceae; Trichiuridae; Triparmaceae; Ulmaridae; Ulnariaceae; Ulotrichaceae; Ulvaceae; Uronemataceae; Vacuolariaceae; Vahlkampfiidae; Volvocaceae; Zygnemataceae
    Type: Dataset
    Format: text/tab-separated-values, 6500 data points
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  • 8
    Publication Date: 2022-03-28
    Type: Conference or Workshop Item , NonPeerReviewed
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  • 9
    Publication Date: 2024-02-07
    Description: Sea ice is a key factor for the functioning and services provided by polar marine ecosystems. However, ecosystem responses to sea-ice loss are largely unknown because time-series data are lacking. Here, we use shotgun metagenomics of marine sedimentary ancient DNA off Kamchatka (Western Bering Sea) covering the last ~20,000 years. We traced shifts from a sea ice-adapted late-glacial ecosystem, characterized by diatoms, copepods, and codfish to an ice-free Holocene characterized by cyanobacteria, salmon, and herring. By providing information about marine ecosystem dynamics across a broad taxonomic spectrum, our data show that ancient DNA will be an important new tool in identifying long-term ecosystem responses to climate transitions for improvements of ocean and cryosphere risk assessments. We conclude that continuing sea-ice decline on the northern Bering Sea shelf might impact on carbon export and disrupt benthic food supply and could allow for a northward expansion of salmon and Pacific herring.
    Type: Article , PeerReviewed
    Format: text
    Format: text
    Format: other
    Format: other
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