Ana Angelica Hernandez Lopez

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Related publications (5)

On the relevance of quality score metadata in genomic sequence data for omics applications

Ana Angelica Hernandez Lopez

High-throughput sequencing of DNA molecules has revolutionized biomedical research by enabling the quantitative analysis of the genome to study its function, structure and dynamics. It is driving sequencing-based experiments in life sciences as evidenced b ...

EPFL2019

Toward a Dynamic Threshold for Quality-Score Distortion in Reference-Based Alignment

Marco Mattavelli, Claudio Paolo Alberti, Ana Angelica Hernandez Lopez

The intrinsic high entropy metadata, known as quality scores, are largely the cause of the substantial size of sequence data files. Yet, there is no consensus on a viable reduction of the resolution of the quality score scale, arguably because of collatera ...

2019

Lossy compression of quality scores in differential gene expression: A first assessment and impact analysis

Ana Angelica Hernandez Lopez

High-throughput sequencing of RNA molecules has enabled the quantitative analysis of gene expression at the expense of storage space and processing power. To alleviate these prob- lems, lossy compression methods of the quality scores associated to RNA sequ ...

2018

Differential gene expression with lossy compression of quality scores in RNA-seq data

Marco Mattavelli, Claudio Paolo Alberti, Ana Angelica Hernandez Lopez

Ieee Computer Soc2017

An Evaluation Framework for Lossy Compression of Genome Sequencing Quality Values

Marco Mattavelli, Claudio Paolo Alberti, Ana Angelica Hernandez Lopez

This paper provides the specification and an initial validation of an evaluation framework for the comparison of lossy compressors of genome sequencing quality values. The goal is to define reference data, test sets, tools and metrics that shall be used to ...

Ieee2016

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