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Alvarez, R. V.

Publications and source records attributed to Alvarez, R. V..

2 recordsLinked to original sources

HXMS: a standardized file format for HX/MS data

MotivationHydrogen/deuterium exchange-mass spectrometry (HX-MS) is a rapidly expanding technique used to investigate protein conformational ensembles. The growing popularity and utility of HX-MS has driven the development of diverse instrumentation and software, resulting in inconsistent, non-standardized data analysis and representation. Most HX-MS data formats also employ only mean deuteration representations of the data rather than full isotopic mass spectra, which reduces the information content of the data and limits downstream quantitative analysis. ResultsInspired by reliable protein structure and genomics data formats, we present HXMS, a unified, lightweight, scalable, and human-readable file format for HX-MS data. The HXMS format preserves the isotopic mass envelopes for all peptides, captures the full experimental time-course including fully deuterated control samples, and contains all other key information. It supports multimodal distributions, post-translational modifications (PTMs), and experimental replicates. To promote compatibility with existing HX-MS workflows, we also developed PFLink, a Python package that converts exported data files from commonly used HX-MS software to the HXMS format. PFLink and the HXMS format will enable more quantitative, higher-resolution data processing, improved data sharing and storage among HX-MS practitioners, future machine learning applications, and further developments in HX-MS analysis. Availability and implementationPFLink is publicly available to install locally on HuggingFace, alongside documentation, or use online at HuggingFace (https://huggingface.co/spaces/glasgow-lab/PFlink). The supplemental information includes sample input files, sample HXMS files, and a generic unfilled PFlink custom CSV file that users may populate with key experimental conditions and results, which can then be read and converted into the HXMS format.

biophysics↗

De novo transcriptome assembly and the effect of foreign RNA contamination

Multiple next-generation-sequencing (NGS)-based studies are enabled by the availability of a reference genome of the target organism. Unfortunately, several organisms remain unannotated due to the cost and complexity of generating a complete (or close to complete) reference genome. These unannotated organisms, however, can also be studied if a de novo reference transcriptome is assembled from whole transcriptome sequencing experiments. This technology is cost effective and widely used but is susceptible to off-target RNA contamination. In this manuscript, we present GTax, a taxonomy structured database of genomic sequences that can be used with BLAST to detect and remove foreign contamination in RNA sequencing samples before assembly. In addition, we investigate the effect of foreign RNA contamination on a de novo transcriptome assembly of Solanum lycopersicum (tomato). Our study demonstrates that removing foreign contamination in sequencing samples reduces the number of assembled chimeric transcripts.

genomics↗