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Before this analysis, an evolutionary model was first estimated to fit the analyzed aligned sequences by the Codon Model Selection (CMS) module.
To address this problem, we have also analyzed aligned amino acid sequences of the 23 species by the likelihood method.
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Because of the importance of RNA-seq, many methods have been developed to analyze aligned RNA-seq data to identify differentially expressed (DE) genes over the last four years.
Besides the signature method, three commonly used methods [ 3] were used to analyze aligned sequences from the same data sets: Neighbor-Joining (NJ) [ 68], maximum parsimony (MP) [ 69] and maximum of likelihood (ML) [ 2].
Seeking to address this challenge, Fuli Yu and colleagues from the Baylor Genome Center recently published in BMC Bioinformatics a variant-calling software package, the Atlas2 suite [ 6], that can analyze aligned data generated from a variety of NGS platforms, including Life Sciences SOLiDD, Roche's 454 and Illumina's Genome Analyzer and HiSeq systems.
The resulting sequences were analyzed and aligned using Blast Local Alignment Tool (BLAST) program at the National Centre for Biotechnology Information (NCBI).
Sequences were analyzed and aligned using the CEQuence Investigator program (Beckman Coulter, Fullerton, CA).
Then we analyzed the aligned "core" sequences using both Jaspar and Transfac binding matrices.
Genomic sequences obtained for the different Picea species were analyzed and aligned using ClustalX [ 68].
Sequencing data were analyzed and aligned using ClustalW software (available at www.clustal.org, UCD Dublin, Ireland).
Viral sequences were analyzed and aligned by using ClustalW (http://workbench.sdsc.edu).sdsc.edu
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