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Raw reads were parsed by index and barcode; the number of reads per individual ranged from 0.4 to 2.8 million reads, with a median of 900,000 reads.
The average number of reads per contig was 28.3 ± 57.6 (range 2-2,110 number of reads).
The average number of reads per F1 progeny was 2.25 million, ranging from 0.86 to 6.15 million; DM3 had 13.5 million reads, and DM5 had 11.8 million reads.
We used the RPKM (Number of reads per kilobase per million mapped reads) method for this purpose.
TB profiler processed fastq files at a linear rate of 80,000 sequence reads per second.
Figure 3 Throughput: number of tags read per second.
In our performance experiments, the system scales smoothly to a 36-node server cluster and achieves 11,160 in-memory reads per second and 396 transactions per second.
File 6 'LB_reads_per_species.tab': Summary of reads per species.
File 3 'LD_reads_per_species.tab': Summary of reads per species.
With this specific combination of mapper, computer cluster, concurrent network usage, etc., Tentacle provided a throughput of more than 800,000 reads per second (about 2.9 billion reads per hour) using 32 worker nodes.
bGene expression level was determined by calculating the number of reads for each gene and then normalizing to RPKM (reads per kilobase per million mapped reads).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com