What is she best known for?
The fields of study she is best known for:
Myriam Ferro focuses on Proteomics, Proteome, Biochemistry, Chloroplast and Chloroplast Proteins.
Her study brings together the fields of Chlamydomonas reinhardtii and Proteomics.
Proteome is closely attributed to Computational biology in her study.
Many of her research projects under Biochemistry are closely connected to Melatonin receptor and Ligand with Melatonin receptor and Ligand, tying the diverse disciplines of science together.
Her study in Chloroplast concentrates on Thylakoid, Transit Peptide and Chloroplast membrane.
Her work carried out in the field of Cell biology brings together such families of science as Arabidopsis and Membrane protein.
Her most cited work include:
- Identification of the Melatonin-binding SiteMT 3 as the Quinone Reductase 2 (446 citations)
- Proteomics of the Chloroplast Envelope Membranes from Arabidopsis thaliana (397 citations)
- AT_CHLORO, a Comprehensive Chloroplast Proteome Database with Subplastidial Localization and Curated Information on Envelope Proteins (359 citations)
What are the main themes of her work throughout her whole career to date?
Myriam Ferro spends much of her time researching Proteomics, Biochemistry, Chloroplast, Proteome and Cell biology.
The concepts of her Proteomics study are interwoven with issues in Chloroplast membrane, Computational biology, Membrane protein and Peptide.
Myriam Ferro regularly links together related areas like Symbiosis in her Biochemistry studies.
She interconnects Arabidopsis thaliana, Arabidopsis, Protein methylation and Calmodulin in the investigation of issues within Chloroplast.
Her research in Proteome intersects with topics in Chloroplast Proteins, Plastid, Genome and Chlamydomonas reinhardtii.
In the field of Cell biology, her study on Cytoplasm overlaps with subjects such as Spermiogenesis.
She most often published in these fields:
- Proteomics (67.33%)
- Biochemistry (55.45%)
- Chloroplast (46.53%)
What were the highlights of her more recent work (between 2014-2021)?
- Proteomics (67.33%)
- Data mining (14.85%)
- Cell biology (33.66%)
In recent papers she was focusing on the following fields of study:
Myriam Ferro mainly investigates Proteomics, Data mining, Cell biology, Peptide and Chromatin.
Her Proteomics research is multidisciplinary, incorporating elements of Protease, Computational biology and Human genetics.
The study incorporates disciplines such as Data processing and Workflow in addition to Data mining.
The Cell biology study combines topics in areas such as Chloroplast DNA, Chloroplast, Photosystem I, Arabidopsis thaliana and Biochemistry.
Biochemistry connects with themes related to Targeted mass spectrometry in her study.
The subject of her Chromatin research is within the realm of Genetics.
Between 2014 and 2021, her most popular works were:
- Accounting for the Multiple Natures of Missing Values in Label-Free Quantitative Proteomics Data Sets to Compare Imputation Strategies. (148 citations)
- Accounting for the Multiple Natures of Missing Values in Label-Free Quantitative Proteomics Data Sets to Compare Imputation Strategies. (148 citations)
- DAPAR & ProStaR: software to perform statistical analyses in quantitative discovery proteomics (89 citations)
In her most recent research, the most cited papers focused on:
The scientist’s investigation covers issues in Data mining, Peptide, Proteomics, Statistical analyses and Gene.
Her Data mining study frequently draws parallels with other fields, such as Datasets as Topic.
Her Peptide study combines topics from a wide range of disciplines, such as Protein purification, Expression pattern, NeXtProt, Human proteome project and Computational biology.
Her research integrates issues of Human testis and Proteome, Bioinformatics in her study of Proteomics.
Myriam Ferro integrates many fields in her works, including Statistical analyses, Filter and Bioconductor.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
