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pro vyhledávání: '"Lorenzi, Claudio"'
Autor:
Villemin, Jean-Philippe1 (AUTHOR), Lorenzi, Claudio1 (AUTHOR), Cabrillac, Marie-Sarah1 (AUTHOR), Oldfield, Andrew1 (AUTHOR), Ritchie, William1 (AUTHOR) william.ritchie@igh.cnrs.fr, Luco, Reini F.1 (AUTHOR) reini.luco@igh.cnrs.fr
Publikováno v:
BMC Biology. 4/12/2021, Vol. 19 Issue 1, p1-19. 19p.
Akademický článek
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Conception et mise en œuvre d'outils bioinformatiques pour l'analyse des données de séquençage d'ARN
Autor:
Lorenzi, Claudio
Publikováno v:
Human health and pathology. Université Montpellier, 2021. English. ⟨NNT : 2021MONTT052⟩
A large portion of the information contained in next-generation sequencing data is potentially lost through classical bioinformatics analysis. Both the mapping of sequencing reads to a genome or transcriptome and filtering results to focus on known g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8361d5dfab91433f3afb10465cdb862a
https://tel.archives-ouvertes.fr/tel-03509333
https://tel.archives-ouvertes.fr/tel-03509333
Akademický článek
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Autor:
Lorenzi, Claudio, Barriere, Sylvain, Arnold, Katharina, Luco, Reini F., Oldfield, Andrew J., Ritchie, William
Additional file 4. Review history.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::013b6ead218f423a1a99895e51f009f4
Autor:
Jean-Philippe Villemin, Lorenzi, Claudio, Marie-Sarah Cabrillac, Oldfield, Andrew, Ritchie, William, Luco, Reini F.
Additional file 1: Fig. S1. Allele-specific alternative splicing and its functional genetic variants in human tissues. Fig. S2. Hierarchical clustering and k-means of patients based on differential gene expression and splicing. Fig. S3. Semi-supervis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::319d0036743bb047711937565bb1c0c3
Autor:
Lorenzi, Claudio, Barriere, Sylvain, Arnold, Katharina, Luco, Reini F., Oldfield, Andrew J., Ritchie, William
Additional file 1. Supplemental Figures.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::918172a8c6a162cd717c97a715ecfe91
Autor:
Lorenzi, Claudio, Barriere, Sylvain, Villemin, Jean-Philippe, Dejardin Bretones, Laureline, Mancheron, Alban, Ritchie, William
iMOKA (interactive multi-objective -mer analysis) is software that enables comprehensive analysis of sequencing data from large cohorts to generate robust classification models or explore specific genetic elements associated with disease etiology. iM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7eef7af629fece4ab27fe260b40a3fdf
Autor:
Lorenzi, Claudio, Barriere, Sylvain, Jean-Philippe Villemin, Bretones, Laureline Dejardin, Mancheron, Alban, Ritchie, William
Additional file 6. iMOKA_supplementary.docx - Supplementary materials.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ff1c3192b440b021d32e3775a173d0b
Autor:
Lorenzi, Claudio, Barriere, Sylvain, Jean-Philippe Villemin, Bretones, Laureline Dejardin, Mancheron, Alban, Ritchie, William
Additional file 8. Review history.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63451ef095a7cf0443a20a92619c2d54