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Data from: Single nucleotide polymorphism discovery via genotyping by sequencing to assess population genetic structure and r
负责人:
关键词:
genotyping by sequencing;population genetics;Andropogon gerardii;polyploidy;UNEAK;Poaceae;big bluestem;tallgrass prairie
DOI:
doi:10.5061/dryad.05qs7
摘要:
approaches like GBS and diverse bioinformatics pipelines used here facilitate evolutionary analyses of complex systems with multiple ploidy levels.
Data from: A phylogenomic approach based on PCR target enrichment and high throughput sequencing: resolving the diversity within the South Americ
负责人:
关键词:
systematics;Rhinantheae;Bartsia;genomics;phylogenetics;Parentucellia;Orobanchaceae;Evolution;Neobartsia;Bellardia
DOI:
doi:10.5061/dryad.fh592
摘要:
esent a bioinformatics pipeline to process the raw HTS reads to either generate consensus sequences (with or without ambiguities) for every locus in eve
Data from: Testing pipelines for genome-wide SNP calling from Genotyping-By-Sequencing (GBS) data for Pinus ponderosa
负责人:
关键词:
pipeline;reference-based;SNP;Pinus ponderosa;de novo;now;GBS
DOI:
doi:10.5061/dryad.6fv8fb4
摘要:
d to align sequence fragments from related species, sequence divergence over evolutionary time might reduce efficiency. Here we compare four GBS bioinformatics
Data from: Utility of pooled sequencing for association mapping in non-model organisms
负责人:
关键词:
conservation genetics;Genomics\/Proteomics;Oncorhynchus tshawytscha;Evolution of Sex;Fish;Bioinfomatics\/Phyloinfomatics;Adaptation
DOI:
doi:10.5061/dryad.85q6j
摘要:
for association mapping in model organisms, it has not been frequently utilized in natural populations. To extend bioinformatic tools for rapid implementation of Pool-Seq
Data from: HiMAP: robust phylogenomics from highly multiplexed amplicon sequencing
负责人:
关键词:
multiplex PCR;systematics;Tephritidae;phylogenetics;Amplicon Sequencing;phylogenomics
DOI:
doi:10.5061/dryad.6524f
摘要:
bioinformatic pipelines for locus selection based on genomic and transcriptomic data resources and post-sequencing consensus calling and alignment. This method
Data from: A non-lethal sampling method to obtain, generate and assemble whole-blood transcriptomes from small, wild mammals
负责人:
关键词:
conservation genetics;Genomics\/Proteomics;Mammals;Disease Biology;Conservation Biology;Ecological Genetics
DOI:
doi:10.5061/dryad.p760b
摘要:
g method, the laboratory protocols and a bioinformatic pipeline to sequence and assemble the whole blood transcriptome, using Illumina RNA-Seq, from wild greater mouse-eared
Data from: Parallel tagged amplicon sequencing of transcriptome-based genetic markers for Triturus newts with the Ion Torrent
负责人:
关键词:
phylogeography;hybridization;Triturus;Amphibians;Population Genetics - Empirical
DOI:
doi:10.5061/dryad.36775
摘要:
and sequenced on the Ion Torrent next-generation sequencing platform. A bioinformatics pipeline identifies the alleles and recodes these to a genotypic format. Ne
Data from: Fluidigm2PURC: automated processing and haplotype inference for double-barcoded PCR amplicons
负责人:
关键词:
Thalictrum L.;polyploidy;haplotype inference;microfluidic PCR;bioinformatics;high-throughput sequencing;phylogenomics
DOI:
doi:10.5061/dryad.89k5k30
摘要:
double?barcoded PCR amplicons. In combination with the program PURC (Pipeline for Untangling Reticulate Complexes), our scripts process raw FASTQ files
Data from: Rapid allopolyploid radiation of moonwort ferns (Botrychium ; Ophioglossaceae) revealed by PacBio sequencing of homologous and homeologous
负责人:
关键词:
Ferns;PURC;reticulate evolution;polyploid network;Botrychium;Ophioglossaceae;low-copy makers;PacBio
DOI:
doi:10.5061/dryad.6q8d6
摘要:
frequent speciation events. Here, we use PacBio sequencing and the PURC bioinformatics pipeline to capture all homeologous or allelic copies of four lon
Data from: TERAD: Extraction of transposable element composition from RADseq data
负责人:
关键词:
Synalpheus;bioinformatics;mobile genetic element;genome size;ddRADseq
DOI:
doi:10.5061/dryad.2375033
摘要:
whole genome sequencing are comparable within and across species. Finally, we develop a new bioinformatic pipeline, TERAD, to extract TE compositions from RADseq data

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