scispace - formally typeset
R

Richard D. LeDuc

Researcher at Northwestern University

Publications -  68
Citations -  10120

Richard D. LeDuc is an academic researcher from Northwestern University. The author has contributed to research in topics: Top-down proteomics & Proteomics. The author has an hindex of 28, co-authored 63 publications receiving 8202 citations. Previous affiliations of Richard D. LeDuc include Washington University in St. Louis & Great Lakes Bioenergy Research Center.

Papers
More filters
Journal ArticleDOI

De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis

TL;DR: This protocol provides a workflow for genome-independent transcriptome analysis leveraging the Trinity platform and presents Trinity-supported companion utilities for downstream applications, including RSEM for transcript abundance estimation, R/Bioconductor packages for identifying differentially expressed transcripts across samples and approaches to identify protein-coding genes.

De novo transcript sequence reconstruction from RNA-Seq: reference generation and analysis with Trinity

TL;DR: This protocol describes the use of the Trinity platform for de novo transcriptome assembly from RNA-Seq data in non-model organisms and presents Trinity’s supported companion utilities for downstream applications, including RSEM for transcript abundance estimation and R/Bioconductor packages for identifying differentially expressed transcripts across samples.
Journal ArticleDOI

ProSight PTM 2.0: improved protein identification and characterization for top down mass spectrometry.

TL;DR: ProSight PTM 2.0 introduces an entirely new data-driven interface, integrated Sequence Gazer for protein characterization, support for fixed modifications, terminal modifications and improved support for multiple precursor ions (multiplexing).
Journal ArticleDOI

ProSight PTM: an integrated environment for protein identification and characterization by top-down mass spectrometry.

TL;DR: Sequence databases from across the phylogenetic tree are supported, with a new database strategy of 'shotgun annotation' used to assist characterization of wild-type proteins.