Resultados totales (Incluyendo duplicados): 45404
Encontrada(s) 4541 página(s)
CORA.Repositori de Dades de Recerca
doi:10.34810/data413
Dataset. 2023

ONCODRIVEFM

  • González-Pérez, Abel
  • López Bigas, Núria
OncodriveFM detects candidate cancer driver genes and pathways from catalogs of somatic mutations in a cohort of tumors by computing the bias towards the accumulation of functional mutations (FM bias).This novel approach avoids some known limitations of recurrence-based approaches, such as the dif?culty to estimate background mutation rate, and the fact that they usually fail to identify lowly recurrently mutated driver genes.

Proyecto: //
DOI: https://doi.org/10.34810/data413
CORA.Repositori de Dades de Recerca
doi:10.34810/data413
HANDLE: https://doi.org/10.34810/data413
CORA.Repositori de Dades de Recerca
doi:10.34810/data413
PMID: https://doi.org/10.34810/data413
CORA.Repositori de Dades de Recerca
doi:10.34810/data413
Ver en: https://doi.org/10.34810/data413
CORA.Repositori de Dades de Recerca
doi:10.34810/data413

CORA.Repositori de Dades de Recerca
doi:10.34810/data414
Dataset. 2014

ONEXUS

  • Déu Pons, Jordi
Onexus is a modular framework to manage the complete life cycle of data analyses. Data analyses follow these steps: analysis definition, analysis execution, results storing, results browsing and finally results publishing.

Proyecto: //
DOI: https://doi.org/10.34810/data414
CORA.Repositori de Dades de Recerca
doi:10.34810/data414
HANDLE: https://doi.org/10.34810/data414
CORA.Repositori de Dades de Recerca
doi:10.34810/data414
PMID: https://doi.org/10.34810/data414
CORA.Repositori de Dades de Recerca
doi:10.34810/data414
Ver en: https://doi.org/10.34810/data414
CORA.Repositori de Dades de Recerca
doi:10.34810/data414

CORA.Repositori de Dades de Recerca
doi:10.34810/data415
Dataset. 2023

WOK

  • Pérez Llamas, Christian
Wok is a workflow management system implemented in Python that makes very easy to structure the workflows, parallelize their execution and monitor its progress among other things. It is designed in a modular way allowing to adapt it to different infraestructures./nFor the time being it is strongly focused on clusters implementing any DRMAA compatible resource manager (i.e. Oracle Grid Engine) which working nodes have a shared folder in common. Other, more flexible infrastructures (such as the Amazon EC2) are considered for future implementations.

Proyecto: //
DOI: https://doi.org/10.34810/data415
CORA.Repositori de Dades de Recerca
doi:10.34810/data415
HANDLE: https://doi.org/10.34810/data415
CORA.Repositori de Dades de Recerca
doi:10.34810/data415
PMID: https://doi.org/10.34810/data415
CORA.Repositori de Dades de Recerca
doi:10.34810/data415
Ver en: https://doi.org/10.34810/data415
CORA.Repositori de Dades de Recerca
doi:10.34810/data415

CORA.Repositori de Dades de Recerca
doi:10.34810/data416
Dataset. 2023

ONCODRIVEROLE

  • Schroeder, Michael Philipp, 1986-
  • Rubio Pérez, Carlota
  • Tamborero Noguera, David
  • González-Pérez, Abel
  • López Bigas, Núria
Machine-learning based approach to classify cancer driver genes into to Activating or Loss of Function roles for cancer gene development.

Proyecto: //
DOI: https://doi.org/10.34810/data416
CORA.Repositori de Dades de Recerca
doi:10.34810/data416
HANDLE: https://doi.org/10.34810/data416
CORA.Repositori de Dades de Recerca
doi:10.34810/data416
PMID: https://doi.org/10.34810/data416
CORA.Repositori de Dades de Recerca
doi:10.34810/data416
Ver en: https://doi.org/10.34810/data416
CORA.Repositori de Dades de Recerca
doi:10.34810/data416

CORA.Repositori de Dades de Recerca
doi:10.34810/data417
Dataset. 2014

JHEATMAP

  • Déu Pons, Jordi
  • Schroeder, Michael Philipp, 1986-
  • López Bigas, Núria
Javascript library to create interactive heatmaps within webpages.

Proyecto: //
DOI: https://doi.org/10.34810/data417
CORA.Repositori de Dades de Recerca
doi:10.34810/data417
HANDLE: https://doi.org/10.34810/data417
CORA.Repositori de Dades de Recerca
doi:10.34810/data417
PMID: https://doi.org/10.34810/data417
CORA.Repositori de Dades de Recerca
doi:10.34810/data417
Ver en: https://doi.org/10.34810/data417
CORA.Repositori de Dades de Recerca
doi:10.34810/data417

CORA.Repositori de Dades de Recerca
doi:10.34810/data418
Dataset. 2023

C10-HDAC7

  • Barneda Zahonero, Bruna
  • Román González, Lidia
  • Collazo, Olga
  • Rafati, Haleh
  • Islam, Abul
  • Bussmann, Lars
  • Di Tullio, Alessandro
  • Andrés, Luisa De
  • Graf, T. (Thomas)
  • López Bigas, Núria
  • Mahmoudi, Tokameh
  • Parra, Maribel
HDAC7 is a repressor of myeloid genes whose downregulation in pre-B cells is required for transdifferentiation into macrophages.

Proyecto: //
DOI: https://doi.org/10.34810/data418
CORA.Repositori de Dades de Recerca
doi:10.34810/data418
HANDLE: https://doi.org/10.34810/data418
CORA.Repositori de Dades de Recerca
doi:10.34810/data418
PMID: https://doi.org/10.34810/data418
CORA.Repositori de Dades de Recerca
doi:10.34810/data418
Ver en: https://doi.org/10.34810/data418
CORA.Repositori de Dades de Recerca
doi:10.34810/data418

CORA.Repositori de Dades de Recerca
doi:10.34810/data419
Dataset. 2023

ONCODRIVE-CIS

  • Tamborero Noguera, David
  • López Bigas, Núria
  • González-Pérez, Abel
Oncodrive-CIS is a method aimed to identify those copy number alterations (CNAs) leading to larger in cis expression changes that may be useful in elucidating the role of these aberrations in cancer. This is based on the hypothesis that a gene driving oncogenesis through copy number changes is more prone to bias towards overexpression (or underexpression) as compared to bystanders. The effect of the gene dosage is assessed by observing expression changes not only among tumors but also taking into account normal samples data, when available./nOncodrive-CIS has several potential benefits: first, it did not examine the frequency of the CNAs across samples and therefore the detection of low-recurrent driver alterations was not impaired. Second, amplifications and deletions were evaluated separately to obtain a fair ranking of genes, because the expression change measured in deletions was lower than the one obtained from multi-copy amplifications. Third, the expression of genes in tumor samples was analyzed according to the copy number status but was also compared to normal samples, thus better revealing the gene misregulation role of CNAs in cancer cells. And finally, it should be emphasized that the relationship between expression changes and their functional impact is complex, thus Oncodrive-CIS is proposed as a method to elucidate the role of CNAs in cancer which may be complementary to analyses based on other criteria.

Proyecto: //
DOI: https://doi.org/10.34810/data419
CORA.Repositori de Dades de Recerca
doi:10.34810/data419
HANDLE: https://doi.org/10.34810/data419
CORA.Repositori de Dades de Recerca
doi:10.34810/data419
PMID: https://doi.org/10.34810/data419
CORA.Repositori de Dades de Recerca
doi:10.34810/data419
Ver en: https://doi.org/10.34810/data419
CORA.Repositori de Dades de Recerca
doi:10.34810/data419

CORA.Repositori de Dades de Recerca
doi:10.34810/data41
Dataset. 2021

DESCRIPTIVE STATISTICS OF PLASMA AA CONCENTRATIONS (ΜMOL/L) OF CALVES FED A MILK REPLACER SUPPLEMENTED WITH DIFFERENT AA COMBINATIONS

  • Terré, Marta
  • Ortuzar-Fernández, Iban
  • Graffelman, Jan
  • Bassols, Anna
  • Vidal Amigo, Maria
  • Bach, Alex
The effects on growth performance of supplementation of four different AA combinations in a milk replacer (MR, 25.4% CP and 20.3% fat) based on skimmed milk powder and whey protein concentrate were evaluated in 76 Holstein male calves (3 ± 1.7 d old). The 4 MR were: CTRL with no AA supplementation; PG supplying additional 0.3% Pro and 0.1% Gly; FY supplying additional 0.2% Phe and 0.2% Tyr; KMT providing additional 0.62% Lys, 0.22% Met, and 0.61% Thr. All calves were fed the same milk allowance program and were weaned at 56 d of study. Concentrate intake was limited to minimize interference of potential differences in solid feed intake among treatments. Animals were weighed weekly, intakes recorded daily, and blood samples obtained at 2, 5, and 7 wk of study to determine serum urea and plasma AA concentrations. The file presents data of the backwards selection process to assess the model that fitted better ADG with the study variables (performance, intake, plasma AA balances). Data was collected at Torre Marimon IRTA calf facilities (Caldes de Montbui, Spain) during 2017.

Proyecto: //
DOI: https://doi.org/10.34810/data41
CORA.Repositori de Dades de Recerca
doi:10.34810/data41
HANDLE: https://doi.org/10.34810/data41
CORA.Repositori de Dades de Recerca
doi:10.34810/data41
PMID: https://doi.org/10.34810/data41
CORA.Repositori de Dades de Recerca
doi:10.34810/data41
Ver en: https://doi.org/10.34810/data41
CORA.Repositori de Dades de Recerca
doi:10.34810/data41

CORA.Repositori de Dades de Recerca
doi:10.34810/data42
Dataset. 2021

SEQUENCE OF MODELS OBTAINED BY BACKWARDS SELECTION FOR ADG OF CALVES FED A MILK REPLACER SUPPLEMENTED WITH DIFFERENT AA

  • Terré, Marta
  • Ortuzar-Fernández, Iban
  • Graffelman, Jan
  • Bassols, Anna
  • Vidal Amigo, Maria
  • Bach, Alex
The effects on growth performance of supplementation of four different AA combinations in a milk replacer (MR, 25.4% CP and 20.3% fat) based on skimmed milk powder and whey protein concentrate were evaluated in 76 Holstein male calves (3 ± 1.7 d old). The 4 MR were: CTRL with no AA supplementation; PG supplying additional 0.3% Pro and 0.1% Gly; FY supplying additional 0.2% Phe and 0.2% Tyr; KMT providing additional 0.62% Lys, 0.22% Met, and 0.61% Thr. All calves were fed the same milk allowance program and were weaned at 56 d of study. Concentrate intake was limited to minimize interference of potential differences in solid feed intake among treatments. Animals were weighed weekly, intakes recorded daily, and blood samples obtained at 2, 5, and 7 wk of study to determine serum urea and plasma AA concentrations. The file presents data of the backwards selection process to assess the model that fitted better ADG with the study variables (performance, intake, plasma AA balances). Data was collected at Torre Marimon IRTA calf facilities (Caldes de Montbui, Spain) during 2017

Proyecto: //
DOI: https://doi.org/10.34810/data42
CORA.Repositori de Dades de Recerca
doi:10.34810/data42
HANDLE: https://doi.org/10.34810/data42
CORA.Repositori de Dades de Recerca
doi:10.34810/data42
PMID: https://doi.org/10.34810/data42
CORA.Repositori de Dades de Recerca
doi:10.34810/data42
Ver en: https://doi.org/10.34810/data42
CORA.Repositori de Dades de Recerca
doi:10.34810/data42

CORA.Repositori de Dades de Recerca
doi:10.34810/data420
Dataset. 2012

SVGMAP

  • Rafael Palou, Xavier
  • Schroeder, Michael Philipp, 1986-
  • López Bigas, Núria
The aim of SVGMap is helping in the visualisation of experimental data which are associated with some graphical representation. Thus SVGMap browser allows to generate images with colored areas corresponding to the chosen data and color scale./nThe data is represented as a table and is searchable. All data as well as the generated images/figures can be exported easily through the interface./nAdditionally the tool allows to manage (add, edit or delete) experiments and configure the front-end user search appearance such as the number of images to be displayed, the scale types to use and more.

Proyecto: //
DOI: https://doi.org/10.34810/data420
CORA.Repositori de Dades de Recerca
doi:10.34810/data420
HANDLE: https://doi.org/10.34810/data420
CORA.Repositori de Dades de Recerca
doi:10.34810/data420
PMID: https://doi.org/10.34810/data420
CORA.Repositori de Dades de Recerca
doi:10.34810/data420
Ver en: https://doi.org/10.34810/data420
CORA.Repositori de Dades de Recerca
doi:10.34810/data420

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