Tweet
It's unlikely that the underlying aligner would have run at different speeds on different systems since they're both going to be calling out to the same code. It seems more likely that the aligners were run with different parameters (different levels of multi-threading, different alignment stringencies etc) which can have a big effect on how long they take to process their data.
-
-
No, I ran them with the exact same parameters.Comment
-
I think that CLC GW is pretty good - we've had it hear for over a year.Comment
-
Strand NGS, the integrated analysis platform
Strand NGS (Formerly Avadis NGS) is an integrated platform that provides analysis, management and visualization tools for next-generation sequencing data. It supports extensive workflows for alignment, RNA-Seq, small RNA-Seq, DNA-Seq, Methyl-Seq, MeDIP-Seq, and ChIP-Seq experiments.
Pipeline manager option can be used to streamline large scale analysis.
More details on various enhancements/features can be found at http://www.strand-ngs.com/featuresComment
-
Strand NGS has improved a lot. The user interface is similar to that of Agilent Technologies GeneSpring, since it is built on same platform Avadis. Strand NGS is very flexible, since its interface auto-adopts to experiment type, only showing relevant analysis steps and functions (i.e guided workflows). You can also customize via R scripts and Jython scripts. Annotation Manager provides access to annotations from within the tool and many moreComment
-
At the intersection of cytogenetics and genomics lies the exciting field of cytogenomics. It focuses on studying chromosomes at a molecular scale, involving techniques that analyze either the whole genome or particular DNA sequences to examine variations in structure and behavior at the chromosomal or subchromosomal level. By integrating cytogenetic techniques with genomic analysis, researchers can effectively investigate chromosomal abnormalities related to diseases, particularly...Yesterday, 06:26 AM -
Cancer research has been transformed through numerous molecular techniques, with RNA sequencing (RNA-seq) playing a crucial role in understanding the complexity of the disease. Maša Ivin, Ph.D., Scientific Writer at Lexogen, and Yvonne Goepel Ph.D., Product Manager at Lexogen, remarked that “The high-throughput nature of RNA-seq allows for rapid profiling and deep exploration of the transcriptome.” They emphasized its indispensable role in cancer research, aiding in biomarker...09-07-2023, 11:15 PM -
Ribonucleic acid (RNA) represents a range of diverse molecules that play a crucial role in many cellular processes. From serving as a protein template to regulating genes, the complex processes involving RNA make it a focal point of study for many scientists. This article will spotlight various methods scientists have developed to investigate different RNA subtypes and the broader transcriptome.
Whole Transcriptome RNA-seq
Whole transcriptome sequencing...08-31-2023, 11:07 AM
Comment