<p>Gene prediction metrics are improved when using an automated kmer size in SOAPdenovo and with assembly revision (correction of base errors, short indels, and chimeric contigs), compared to a fixed kmer size of = 23 in SOAPdenovo and no assembly revision. The Kmer size is estimated as the closest odd number greater than half the average read length for a sample. Numbers reported are in percent improvement of the respective quality metric. The calculated Kmer for each sample is given in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0047656#pone.0047656.s008" target="_blank">Table S8</a>.</p
This manuscript presents the most rigorous benchmark-ing of gene annotation algorithms for metagenom...
The advances of next-generation sequencing technology have facilitated metagenomics research that at...
Additional file 2: Fig. S2. The comparison of the accuracy of wmssBLUP and GBLUP in different popula...
<p>Actual (black squares) and predicted (blue circles) gene lengths for a given gene in each species...
De novo Genome assembly and k-mer frequency counting are two of the classical prob- lems of Bioinfo...
International audienceBackground: The biological and clinical consequences of the tight interactions...
Summary: Genomes of emerging model organisms are now being sequenced at very low cost. However, obta...
<p>Shown are the 8 genes for which the KNN algorithm that integrated genomic features resulted in th...
Recent studies have noted extensive inconsistencies in gene start sites among orthologous genes in r...
BackgroundShotgun metagenomes are often assembled prior to annotation of genes which biases the func...
Depending on excellent prediction ability, machine learning has been considered the most powerful im...
<p>Reads of various length (70–500 bp) were simulated with 1% error rate from mock community 1603199...
Abstract — This manuscript presents the most rigorous benchmarking of gene annotation algorithms for...
Next-generation sequencing has generated enormous amount of DNA and RNA sequences that potentially c...
Background Although the total number of microbial taxa on Earth is under debate, it is clear that on...
This manuscript presents the most rigorous benchmark-ing of gene annotation algorithms for metagenom...
The advances of next-generation sequencing technology have facilitated metagenomics research that at...
Additional file 2: Fig. S2. The comparison of the accuracy of wmssBLUP and GBLUP in different popula...
<p>Actual (black squares) and predicted (blue circles) gene lengths for a given gene in each species...
De novo Genome assembly and k-mer frequency counting are two of the classical prob- lems of Bioinfo...
International audienceBackground: The biological and clinical consequences of the tight interactions...
Summary: Genomes of emerging model organisms are now being sequenced at very low cost. However, obta...
<p>Shown are the 8 genes for which the KNN algorithm that integrated genomic features resulted in th...
Recent studies have noted extensive inconsistencies in gene start sites among orthologous genes in r...
BackgroundShotgun metagenomes are often assembled prior to annotation of genes which biases the func...
Depending on excellent prediction ability, machine learning has been considered the most powerful im...
<p>Reads of various length (70–500 bp) were simulated with 1% error rate from mock community 1603199...
Abstract — This manuscript presents the most rigorous benchmarking of gene annotation algorithms for...
Next-generation sequencing has generated enormous amount of DNA and RNA sequences that potentially c...
Background Although the total number of microbial taxa on Earth is under debate, it is clear that on...
This manuscript presents the most rigorous benchmark-ing of gene annotation algorithms for metagenom...
The advances of next-generation sequencing technology have facilitated metagenomics research that at...
Additional file 2: Fig. S2. The comparison of the accuracy of wmssBLUP and GBLUP in different popula...