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Disambiguation of "Langmead, Ben"

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, , , , , , , , , , , and . CoRR, (2023)

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Ben Koch

Ben Elsner

Ben Schmehe

Ben Schöttker

Ben Novak

 

Other publications of authors with the same name

Rail-RNA: scalable analysis of RNA-seq splicing and coverage., , , , , , , , and . Bioinform., 33 (24): 4033-4040 (2017)Finding Maximal Exact Matches Using the r-Index., , , , , and . J. Comput. Biol., 29 (2): 188-194 (2022)Cloud-scale RNA-sequencing differential expression analysis with Myrna., , and . Genome Biol, 11 (8): R83 (2010)differential gene expression is studied "The Myrna pipeline is complementary to existing approaches for RNA-Seq analysis - like ERANGE and Cufflinks. ERANGE attempts to recover junction reads based on the uniquely aligned reads, but only reports RPKM and does not calculate a measure of statistical significance 36 . Cufflinks is more ambitious in its attempt to fully assemble the transcriptome, but bases its differential expression statistics on the Poisson model, which we have shown may not be appropriate for biological replicates 8 . Myrna focuses on the somewhat simpler problem of differential expression analysis between genes, but uses more sophisticated statistical models and integrates the analysis in a computationally efficient pipeline. " "The version of Myrna described here does not make any special attempt to align reads across exon junctions, but this is important future work. Expression signal may be lost by failing to align junction reads; Myrna's focus on just the constitutive portions of genes avoids between-sample or between-gene biases due to this policy. Users can trade off between loss of signal due to junction reads and loss of signal due to repetitive reads by adjusting the -truncate-reads option, which trims all input reads down to a given fixed length before passing them on to the alignment step. We expect that future support for counting junction reads will not severely impact Myrna's performance characteristics; its chief impact will be to add computation to the Align stage, which is currently both the biggest bottleneck and the most easily parallelizable step. ".Ballgown bridges the gap between transcriptome assembly and expression analysis, , , , , and . Nat Biotech, 33 (3): 243--246 (March 2015)Matching reads to many genomes with the r-index., , , , , and . CoRR, (2019)Rail-dbGaP: analyzing dbGaP-protected data in the cloud with Amazon Elastic MapReduce., , , , and . Bioinform., 32 (16): 2551-2553 (2016)LevioSAM: fast lift-over of variant-aware reference alignments., , and . Bioinform., 37 (22): 4243-4245 (November 2021)MONI: A Pangenomic Index for Finding Maximal Exact Matches., , , , and . J. Comput. Biol., 29 (2): 169-187 (2022)Taxonomic classification with maximal exact matches in KATKA kernels and minimizer digests., , , , , , and . CoRR, (2024)KATKA: A KRAKEN-Like Tool with k Given at Query Time., , and . SPIRE, volume 13617 of Lecture Notes in Computer Science, page 191-197. Springer, (2022)