Breno Livio Silva de Almeida

• Abstract

  Understanding the language of life, comprised of DNA and its translation into amino acids, presents a formidable challenge for traditional methodologies due to its inherent complexity. Consequently, there has been a notable shift towards leveraging the capabilities of alignment-free techniques, particularly machine learning (ML) approaches. Among these, deep learning, specifically large l…

  Decoding the language of life: Towards protein classification and design through large language models, BP.DD
• Democratization of machine learning in life sciences and annotation of protein families, BP.TT

• Abstract

  As high-throughput sequencing technologies have emerged in recent decades, the rate of biological data collection has been amplified, at the same time as this has served as a bottleneck for further processing and analysis, given the sheer volume of this data. Considering the voluminous data coming from these technologies, the creation of fields of studies encompassing the so-called Omics …

  Machine Learning applied to multiomics analysis for exploration of microbial communities, BP.IC

(Only some records are available in English at this moment)