YesAssigning metagenomic reads to taxa presents significant challenges. Existing approaches address some issues, but are mostly limited to metabarcoding or optimized for microbial data. We present PIA (Phylogenetic Intersection Analysis): a taxonomic binner that works from standard BLAST output while mitigating key effects of incomplete databases. Benchmarking against MEGAN using sedaDNA suggests that, while PIA is less sensitive, it can be more accurate. We use known sequences to estimate the accuracy of PIA at up to 96% when the real organism is not represented in the database. For ancient DNA, where taxa of interest are frequently over-represented domesticates or absent, poorly-known organisms, more accurate assignment is critical, even ...
The 1980s were very prolific years not only for music, but also for molecular biology and genetics, ...
Abstract Background Computational analysis of metagenomes requires the taxonomical assignment of the...
Metagenomics is a powerful approach to study environment samples which do not require the isolation ...
Assigning metagenomic reads to taxa presents significant challenges. Existing approaches address som...
Metagenomics enables the study of complex microbial communities from myriad sources, including the r...
Metagenomics enables the study of complex microbial communities from myriad sources, including the r...
Sedimentary ancient DNA (sedaDNA) analyses are increasingly used to reconstruct marine ecosystems. T...
In the context of the sixth wave of extinction, reliable surveys of biodiversity are increasingly ne...
AbstractAssessing the taxonomic composition of metagenomic samples is an important first step in und...
Exploring the genetic diversity of microbes within the environment through metagenomic sequencing fi...
The use of metagenomic datasets to support ancient sedimentary DNA (sedaDNA) for paleoecological rec...
Marine sedimentary ancient DNA (sedaDNA) is increasingly used to study past ocean ecosystems, howeve...
Background In metabarcoding analyses, the taxonomic assignment is crucial to place sequencing data ...
The field of palaeomicrobiology—the study of ancient microorganisms—is rapidly growing due to recent...
Characterising microbial communities enables a better understanding of their complexity and the cont...
The 1980s were very prolific years not only for music, but also for molecular biology and genetics, ...
Abstract Background Computational analysis of metagenomes requires the taxonomical assignment of the...
Metagenomics is a powerful approach to study environment samples which do not require the isolation ...
Assigning metagenomic reads to taxa presents significant challenges. Existing approaches address som...
Metagenomics enables the study of complex microbial communities from myriad sources, including the r...
Metagenomics enables the study of complex microbial communities from myriad sources, including the r...
Sedimentary ancient DNA (sedaDNA) analyses are increasingly used to reconstruct marine ecosystems. T...
In the context of the sixth wave of extinction, reliable surveys of biodiversity are increasingly ne...
AbstractAssessing the taxonomic composition of metagenomic samples is an important first step in und...
Exploring the genetic diversity of microbes within the environment through metagenomic sequencing fi...
The use of metagenomic datasets to support ancient sedimentary DNA (sedaDNA) for paleoecological rec...
Marine sedimentary ancient DNA (sedaDNA) is increasingly used to study past ocean ecosystems, howeve...
Background In metabarcoding analyses, the taxonomic assignment is crucial to place sequencing data ...
The field of palaeomicrobiology—the study of ancient microorganisms—is rapidly growing due to recent...
Characterising microbial communities enables a better understanding of their complexity and the cont...
The 1980s were very prolific years not only for music, but also for molecular biology and genetics, ...
Abstract Background Computational analysis of metagenomes requires the taxonomical assignment of the...
Metagenomics is a powerful approach to study environment samples which do not require the isolation ...