Your English writing platform
Discover LudwigExact(60)
All sequences in the seed (and therefore in the test data) were aligned manually by rRNA alignment experts.
These data were aligned using TopHat 1.0, which incorporates the Bowtie aligner and additionally generates splice junction reads [77].
The data were aligned to the reference using the Burrow-Wheeler alignment tool BWA (69, 70).
These data were aligned to the human genome by using the BioScope aligner.
Raw sequence data were aligned with the Staden Package [ 48] and the resulting alignments were manually corrected.
Data were aligned using PyNAST and a 0.80 confidence threshold.
ChIP-seq data were aligned to the human genome (hg19) reference genome using bwa version 0.7.1059 with default parameter settings.
The data were aligned to mouse genome (GRCm38) using HISAT2 (version 2.0.4), and the uniquely mapped reads were retained for the following analysis.
Sequence data were aligned to the specified National Center for Biotechnology Information human reference sequence after low-quality sequences were discarded.
Specifically, K562 RNAseq data were aligned using Tophat to hg19 genome assembly, using gtf files based on UCSC gene definition downloaded from the GenePattern server.
The sequence data were aligned to the P. fluorescens SBW25 reference genome NC_012660.1, and mutations were called and annotated using a custom computational pipeline31 and BRESEQ18.
Write better and faster with AI suggestions while staying true to your unique style.
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