| Nome |
# |
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Highlighting human enzymes active in different metabolic pathways and diseases: The case study of EC 1.2.3.1 and EC 2.3.1.9, file 8cfdcb43-5f38-4c84-9989-3ea01d34b1a8
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752
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CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods, file be34ebdd-b334-42cd-921a-c3c222bf1d8e
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295
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A high-density, SNP-based consensus map of tetraploid wheat as a bridge to integrate durum and bread wheat genomics and breeding, file e1dcb32e-3394-7715-e053-1705fe0a6cc9
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227
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Functional and Structural Features of Disease-Related Protein Variants, file e1dcb333-4c82-7715-e053-1705fe0a6cc9
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116
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BUSCA: An integrative web server to predict subcellular localization of proteins, file e1dcb331-9cb0-7715-e053-1705fe0a6cc9
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113
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Draft genomes and genomic divergence of two Lepidurus tadpole shrimp species (Crustacea, Branchiopoda, Notostraca), file e1dcb338-3bd6-7715-e053-1705fe0a6cc9
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112
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An initial comparative map of copy number variations in the goat (Capra hircus) genome, file e1dcb331-bb5e-7715-e053-1705fe0a6cc9
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111
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DeepSig: deep learning improves signal peptide detection in proteins, file e1dcb331-8f1f-7715-e053-1705fe0a6cc9
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107
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A genome wide association study for backfat thickness in Italian Large White pigs highlights new regions affecting fat deposition including neuronal genes., file e1dcb331-46e4-7715-e053-1705fe0a6cc9
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106
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eDGAR: a database of Disease-Gene Associations with annotated Relationships among genes, file e1dcb330-9844-7715-e053-1705fe0a6cc9
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101
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The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens, file e1dcb333-644d-7715-e053-1705fe0a6cc9
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100
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Molecular modelling evaluation of exon 18 His845_Asn848delinsPro pDGFRα mutation in a metastatic GIST patient responding to imatinib, file e1dcb332-3488-7715-e053-1705fe0a6cc9
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94
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Genomic tools for durum wheat breeding: de novo assembly of Svevo transcriptome and SNP discovery in elite germplasm, file e1dcb334-4e51-7715-e053-1705fe0a6cc9
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89
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SUS-BAR: a database of pig proteins with statistically validated structural and functional annotation, file e1dcb32c-5794-7715-e053-1705fe0a6cc9
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82
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PhenPath: A tool for characterizing biological functions underlying different phenotypes, file e1dcb333-9f51-7715-e053-1705fe0a6cc9
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78
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Cauliflower Mosaic Virus TAV, a Plant Virus Protein That Functions like Ribonuclease H1 and is Cytotoxic to Glioma Cells, file e1dcb334-bb47-7715-e053-1705fe0a6cc9
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71
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Evaluating the predictions of the protein stability change upon single amino acid substitutions for the FXN CAGI5 challenge, file e1dcb333-037a-7715-e053-1705fe0a6cc9
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69
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Ancient DNA SNP-panel data suggests stability in bluefin tuna genetic diversity despite centuries of fluctuating catches in the eastern Atlantic and Mediterranean, file e1dcb338-a0a0-7715-e053-1705fe0a6cc9
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57
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Finding functional motifs in protein sequences with deep learning and natural language models, file 831407cd-dfa7-41c9-9fa4-4e82a21e2793
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53
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Large-scale prediction and analysis of protein sub-mitochondrial localization with DeepMito, file e1dcb336-6960-7715-e053-1705fe0a6cc9
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53
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Integrating ELIXIR Italy with ELIXIR Interoperability platform activities, file e1dcb331-ece5-7715-e053-1705fe0a6cc9
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51
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Comparative genomics of tadpole shrimps (Crustacea, Branchiopoda, Notostraca): Dynamic genome evolution against the backdrop of morphological stasis, file e1dcb338-be71-7715-e053-1705fe0a6cc9
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51
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An expanded evaluation of protein function prediction methods shows an improvement in accuracy, file e1dcb32e-9499-7715-e053-1705fe0a6cc9
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50
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DeepMito: accurate prediction of protein sub-mitochondrial localization using convolutional neural networks, file e1dcb333-5ef0-7715-e053-1705fe0a6cc9
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49
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Working toward precision medicine: Predicting phenotypes from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges, file e1dcb338-3b11-7715-e053-1705fe0a6cc9
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43
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NET-GE: a web-server for NETwork-based human gene enrichment, file e1dcb338-47dd-7715-e053-1705fe0a6cc9
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36
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Ancient DNA SNP-panel data suggests stability in bluefin tuna genetic diversity despite centuries of fluctuating catches in the eastern Atlantic and Mediterranean, file e1dcb338-a0a4-7715-e053-1705fe0a6cc9
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35
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DeepREx-WS: A web server for characterising protein–solvent interaction starting from sequence, file e1dcb338-f481-7715-e053-1705fe0a6cc9
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32
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NET-GE: a novel NETwork-based Gene Enrichment for detecting biological processes associated to Mendelian diseases, file e1dcb32c-e3cb-7715-e053-1705fe0a6cc9
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31
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Ancient DNA SNP-panel data suggests stability in bluefin tuna genetic diversity despite centuries of fluctuating catches in the eastern Atlantic and Mediterranean, file e1dcb338-e44e-7715-e053-1705fe0a6cc9
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31
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Influence of body lesion severity on oxidative status and gut microbiota of weaned pigs, file e7ea233f-8a7a-4c53-8117-7c2372cb7dea
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29
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NETGE-PLUS: Standard and Network-Based Gene Enrichment Analysis in Human and Model Organisms, file 6a7eb9e7-7c7c-47f4-af57-91dc456a9b19
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26
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A glance into mthfr deficiency at a molecular level, file e1dcb339-210c-7715-e053-1705fe0a6cc9
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25
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BENZ WS: The Bologna ENZyme Web Server for four-level EC number annotation, file e1dcb339-5b5d-7715-e053-1705fe0a6cc9
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23
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DeepSig: deep learning improves signal peptide detection in proteins, file e1dcb331-8f20-7715-e053-1705fe0a6cc9
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21
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BUSCA: An integrative web server to predict subcellular localization of proteins, file e1dcb331-9cb1-7715-e053-1705fe0a6cc9
|
20
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Highlighting human enzymes active in different metabolic pathways and diseases: The case study of EC 1.2.3.1 and EC 2.3.1.9, file e1dcb336-6b92-7715-e053-1705fe0a6cc9
|
18
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SVMyr: A Web Server Detecting Co- and Post-translational Myristoylation in Proteins, file 54ddc13e-2720-425e-bb76-c4c9c17fa82a
|
17
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Solvent Accessibility of Residues Undergoing Pathogenic Variations in Humans: From Protein Structures to Protein Sequences, file e1dcb336-6c77-7715-e053-1705fe0a6cc9
|
16
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Mapping OMIM Disease–Related Variations on Protein Domains Reveals an Association Among Variation Type, Pfam Models, and Disease Classes, file e1dcb338-524b-7715-e053-1705fe0a6cc9
|
16
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Ancient DNA SNP-panel data suggests stability in bluefin tuna genetic diversity despite centuries of fluctuating catches in the eastern Atlantic and Mediterranean, file e1dcb338-a0a2-7715-e053-1705fe0a6cc9
|
16
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Huntingtin: A protein with a peculiar solvent accessible surface, file 35e13a5a-bf05-4e61-973e-fbdfdc97bbc3
|
12
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DOME: recommendations for supervised machine learning validation in biology, file e1dcb338-310e-7715-e053-1705fe0a6cc9
|
11
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Resources and tools for rare disease variant interpretation, file af5193bb-e802-4a1a-8016-4725f3e12d9d
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9
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Pathogenic variation types in human genes relate to diseases through Pfam and InterPro mapping, file 3463fb40-b420-4020-a6f1-760cbba3adf2
|
8
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From Protein Variations to Biological Processes and Pathways with NET-GE, file d22d4052-7a07-4151-81eb-a4731fd78884
|
7
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Assessment of methods for predicting the effects of PTEN and TPMT protein variants, file e1dcb333-0378-7715-e053-1705fe0a6cc9
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6
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BetAware-Deep: An Accurate Web Server for Discrimination and Topology Prediction of Prokaryotic Transmembrane β-barrel Proteins, file e1dcb339-3c5b-7715-e053-1705fe0a6cc9
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6
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CoCoNat: a novel method based on deep learning for coiled-coil prediction, file fecc1c1a-ea47-483e-87fa-44babf3731f4
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6
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Routes of dispersion of antibiotic resistance genes from the poultry farm system, file 1c692528-a139-463f-8c65-4c1b6494f06e
|
5
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The pros and cons of predicting protein contact maps- Protein structure prediction, file e1dcb32e-9a01-7715-e053-1705fe0a6cc9
|
5
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Biallelic variants in LIG3 cause a novel mitochondrial neurogastrointestinal encephalomyopathy, file e1dcb338-a379-7715-e053-1705fe0a6cc9
|
5
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Mapping human disease-associated enzymes into Reactome allows characterization of disease groups and their interactions, file 99349fb5-cf79-49e0-a5a7-bbaae26226de
|
4
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On the critical review of five machine learning-based algorithms for predicting protein stability changes upon mutation, file 9cdfe90f-9e9c-4d7f-a9fb-8278790ed223
|
4
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CoCoNat: a novel method based on deep learning for coiled-coil prediction, file 3edebcd9-eebb-4f9b-8386-a5c970a7f17b
|
3
|
|
MultifacetedProtDB: a database of human proteins with multiple functions, file a7d9f819-e389-412c-aa25-7c4167f8bc76
|
3
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|
Merging crystallography, site-directed mutagenesis and molecular modelling to unravel the regulatory mechanism of photosynthetic Gapdh, file e1dcb32c-009d-7715-e053-1705fe0a6cc9
|
3
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|
null, file e1dcb32c-8a77-7715-e053-1705fe0a6cc9
|
3
|
|
BRCA1 p.His1673del is a pathogenic mutation associated with a predominant ovarian cancer phenotype, file e1dcb32f-8c93-7715-e053-1705fe0a6cc9
|
3
|
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Unravelling the genetic basis governing the porcine metabolism, file 232c82fa-67ca-4d76-9826-4b797e72e889
|
2
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null, file 5e17338d-8ce7-451c-b868-c1e7e607d42a
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2
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E-SNPs&GO: embedding of protein sequence and function improves the annotation of human pathogenic variants, file 777b36bc-0d34-404d-b306-0fadf2f3f5db
|
2
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|
ISPRED-SEQ: Deep Neural Networks and Embeddings for Predicting Interaction Sites in Protein Sequences, file ce35339f-3483-43d5-9b94-ab74f3df5144
|
2
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ISPRED-SEQ: Deep Neural Networks and Embeddings for Predicting Interaction Sites in Protein Sequences, file cf3f3dd5-05ed-4e7e-802c-4a2cafac271a
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2
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Isothermal and non-isothermal bioreactors in the detoxification of waste waters polluted by aromatic compounds by means of immobilised laccase from Rhus vernicifera, file e1dcb32b-cf23-7715-e053-1705fe0a6cc9
|
2
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Large scale analysis of protein stability in OMIM disease related human protein variants, file e1dcb32e-a687-7715-e053-1705fe0a6cc9
|
2
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|
SChloro: directing Viridiplantae proteins to six chloroplastic sub-compartments, file e1dcb32f-6e17-7715-e053-1705fe0a6cc9
|
2
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|
null, file e1dcb32f-dd94-7715-e053-1705fe0a6cc9
|
2
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|
The Bologna Annotation Resource (BAR 3.0): improving protein functional annotation, file e1dcb32f-fd74-7715-e053-1705fe0a6cc9
|
2
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|
Ancient pathogen-driven adaptation triggers increased susceptibility to non-celiac wheat sensitivity in present-day European populations, file e1dcb339-072d-7715-e053-1705fe0a6cc9
|
2
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|
Dispersion of antimicrobial resistant bacteria in pig farms and in the surrounding environment, file 0e79ccd4-f94d-4157-83ef-323d6414c171
|
1
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|
CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods, file 0ea3890c-12d5-40f6-af2c-07125f4f36d3
|
1
|
|
CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods, file 0fef6b0e-df9b-4910-bc1a-af7da77fcf89
|
1
|
|
CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods, file 2dc5d7c4-3432-4c21-9f20-f5c98032805b
|
1
|
|
CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods, file 394e2a0e-d0fd-4b3f-bdcf-719580fcbb74
|
1
|
|
CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods, file 751959e2-09a8-4bcf-8d3d-ac5a0622a7f8
|
1
|
|
Machine learning solutions for predicting protein–protein interactions, file 77d51e26-870c-4dae-80f1-18ba5052f972
|
1
|
|
CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods, file b3b6a5e1-ceb6-4459-bc36-ad98d2d8fa2c
|
1
|
|
3D structure of Sulfolobus solfataricus carboxypeptidase developed by molecular modeling is confirmed by site-directed mutagenesis and small angle x-ray scattering, file ba368844-97ce-460f-ab9e-7c3c7dd6d038
|
1
|
|
CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods, file c3a9bd3f-eb2d-42b5-8e5f-9614fbca2313
|
1
|
|
CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods, file c8c610eb-e9a1-4515-ad9d-813dcc8ba016
|
1
|
|
Resistome and xenobiome temporal dynamics in poultry and swine production chains: the CIRCLES project, file cc69c2ca-81d1-4715-abdd-3766c0bdad1b
|
1
|
|
Grammatical-Restrained Hidden Conditional Random Fields for Bioinformatics applications, file e1dcb32b-ef8e-7715-e053-1705fe0a6cc9
|
1
|
|
A pipeline for predicting the function of the AFP/CAFA 2014 targets at
the Bologna Biocomputing Group, file e1dcb32c-5fd1-7715-e053-1705fe0a6cc9
|
1
|
|
null, file e1dcb32c-61ce-7715-e053-1705fe0a6cc9
|
1
|
|
Unlocking the evolutionary history of the mighty Bluefin Tuna using novel paleogenetic techniques and ancient tuna remains, file e1dcb32c-d472-7715-e053-1705fe0a6cc9
|
1
|
|
Protein Sequence Annotation by Means of Community Detection, file e1dcb32d-490e-7715-e053-1705fe0a6cc9
|
1
|
|
null, file e1dcb32e-5319-7715-e053-1705fe0a6cc9
|
1
|
|
Analysing the relations among genes and polygenic diseases with eDGAR, file e1dcb330-c104-7715-e053-1705fe0a6cc9
|
1
|
|
Are machine learning based methods suited to address complex biological problems? Lessons from CAGI-5 challenges, file e1dcb333-3ff6-7715-e053-1705fe0a6cc9
|
1
|
|
On the biases in predictions of protein stability changes upon variations: the INPS test case, file e1dcb334-7217-7715-e053-1705fe0a6cc9
|
1
|
|
Whole genome sequence analysis of brucella abortus isolates from various regions of South Africa, file e1dcb339-ca2a-7715-e053-1705fe0a6cc9
|
1
|
| Totale |
3.569 |