CRIS Current Research Information System

SAVOJARDO, CASTRENSE
 Distribuzione geografica
Salva come PNG Salva come JPEG
Continente #
NA - Nord America 4.446
EU - Europa 3.007
AS - Asia 1.921
AF - Africa 236
OC - Oceania 46
SA - Sud America 23
Continente sconosciuto - Info sul continente non disponibili 2
Totale 9.681
Salva come PNG Salva come JPEG
Nazione #
US - Stati Uniti d'America 4.381
IT - Italia 922
GB - Regno Unito 724
CN - Cina 597
SG - Singapore 486
DE - Germania 322
VN - Vietnam 286
SE - Svezia 279
IN - India 209
TG - Togo 144
RU - Federazione Russa 122
IE - Irlanda 117
FR - Francia 99
CH - Svizzera 74
HR - Croazia 67
ZA - Sudafrica 66
CA - Canada 63
HK - Hong Kong 57
AU - Australia 45
EE - Estonia 44
UA - Ucraina 43
KR - Corea 42
FI - Finlandia 39
TR - Turchia 35
ID - Indonesia 34
ES - Italia 26
NL - Olanda 26
PK - Pakistan 25
BE - Belgio 24
JO - Giordania 23
JP - Giappone 22
TW - Taiwan 18
BD - Bangladesh 17
BG - Bulgaria 17
BR - Brasile 15
IL - Israele 14
GR - Grecia 13
CI - Costa d'Avorio 12
PH - Filippine 12
DK - Danimarca 10
IR - Iran 9
PL - Polonia 7
PT - Portogallo 7
AT - Austria 5
LB - Libano 5
NO - Norvegia 5
CY - Cipro 4
IQ - Iraq 4
RO - Romania 4
SA - Arabia Saudita 4
SY - Repubblica araba siriana 4
TH - Thailandia 4
CL - Cile 3
DZ - Algeria 3
ET - Etiopia 3
MO - Macao, regione amministrativa speciale della Cina 3
RS - Serbia 3
UZ - Uzbekistan 3
CD - Congo 2
CO - Colombia 2
CZ - Repubblica Ceca 2
EG - Egitto 2
LT - Lituania 2
MX - Messico 2
MY - Malesia 2
NG - Nigeria 2
SI - Slovenia 2
VE - Venezuela 2
A2 - ???statistics.table.value.countryCode.A2??? 1
AM - Armenia 1
AR - Argentina 1
BA - Bosnia-Erzegovina 1
EU - Europa 1
KH - Cambogia 1
MA - Marocco 1
NZ - Nuova Zelanda 1
SC - Seychelles 1
SK - Slovacchia (Repubblica Slovacca) 1
Totale 9.681
Salva come PNG Salva come JPEG
Città #
Southend 633
Singapore 394
Chandler 385
Fairfield 377
Santa Clara 364
Bologna 289
Ashburn 270
Dong Ket 215
Woodbridge 193
Wilmington 189
Seattle 176
Houston 173
Ann Arbor 169
Princeton 168
Cambridge 150
Lomé 144
Boardman 120
Dublin 117
New York 102
Redmond 75
Berlin 63
Westminster 62
Nanjing 58
Bern 57
Milan 48
Rome 48
Padova 45
Pisa 39
Medford 37
Saint Petersburg 37
Jakarta 34
Jinan 32
Shenyang 29
San Diego 28
Turin 28
Beijing 26
Toronto 25
Forlì 24
Amman 23
Boydton 23
Hong Kong 23
Lappeenranta 21
Los Angeles 21
Changsha 20
London 20
Tianjin 20
Brussels 19
San Francisco 19
Shanghai 19
Des Moines 17
Guangzhou 17
Helsinki 17
Sofia 17
Dearborn 16
Hebei 16
Hangzhou 15
Moscow 15
San Lazzaro di Savena 15
Nanchang 14
Brisbane 13
Cesena 13
Frankfurt am Main 13
Zhengzhou 13
Abidjan 12
Catania 12
Jacksonville 12
Jiaxing 12
Norwalk 12
Redwood City 12
Rijeka 12
Wayne 12
Baltimore 11
Falls Church 11
Paris 11
Sunshine Coast 11
Barcelona 10
Boston 10
Madison 10
Munich 10
Mülheim 10
Ningbo 10
Olalla 10
Wuhan 10
Chicago 9
Council Bluffs 9
Fremont 9
Istanbul 9
Madrid 9
Melbourne 9
Philadelphia 9
Tokyo 9
Brookings 8
Castel Maggiore 8
Chennai 8
Groningen 8
Phoenix 8
Xi'an 8
Bühl 7
Fuzhou 7
Hyderabad 7
Totale 6.223
Salva come PNG Salva come JPEG
Nome #
CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods 880
Are machine learning based methods suited to address complex biological problems? Lessons from CAGI-5 challenges 210
Draft genomes and genomic divergence of two Lepidurus tadpole shrimp species (Crustacea, Branchiopoda, Notostraca) 167
SChloro: directing Viridiplantae proteins to six chloroplastic sub-compartments 161
Functional and Structural Features of Disease-Related Protein Variants 161
Evaluating the predictions of the protein stability change upon single amino acid substitutions for the FXN CAGI5 challenge 160
Assessment of methods for predicting the effects of PTEN and TPMT protein variants 159
eDGAR: a database of Disease-Gene Associations with annotated Relationships among genes 155
BUSCA: An integrative web server to predict subcellular localization of proteins 150
DeepSig: deep learning improves signal peptide detection in proteins 145
DeepMito: accurate prediction of protein sub-mitochondrial localization using convolutional neural networks 145
Assessing the performance of in silico methods for predicting the pathogenicity of variants in the gene CHEK2, among Hispanic females with breast cancer 143
Ancient DNA SNP-panel data suggests stability in bluefin tuna genetic diversity despite centuries of fluctuating catches in the eastern Atlantic and Mediterranean 140
Computer-based prediction of mitochondria-targeting peptides 133
Assessment of blind predictions of the clinical significance of BRCA1 and BRCA2 variants 132
Assessing predictions on fitness effects of missense variants in calmodulin 132
Analysing the relations among genes and polygenic diseases with eDGAR 131
Assessing computational predictions of the phenotypic effect of cystathionine-beta-synthase variants 130
Highlighting human enzymes active in different metabolic pathways and diseases: The case study of EC 1.2.3.1 and EC 2.3.1.9 130
Grammatical-Restrained Hidden Conditional Random Fields for Bioinformatics applications 128
DOME: recommendations for supervised machine learning validation in biology 124
The impact of fisheries on bluefin tuna (Thunnus thynnus) over two millennia (2nd century BC – 20th century AD): Genetic and genomic analyses of ancient tuna remains from the Mediterranean, Atlantic, and Black Seas 123
The eDGAR database of Disease-Gene Associations with annotated Relationships among genes 122
Machine-Learning Methods to Predict Protein Interaction Sites in Folded Proteins 118
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens 117
Assessing predictions of the impact of variants on splicing in CAGI5 117
Prediction of the bonding state of cysteine residues in proteins with machine-learning methods 114
Solvent Accessibility of Residues Undergoing Pathogenic Variations in Humans: From Protein Structures to Protein Sequences 114
Improving the prediction of disulfide bonds in Eukaryotes with machine learning methods and protein subcellular localization 112
BETAWARE: a machine-learning tool to detect and predict transmembrane beta barrel proteins in Prokaryotes. Bioinformatics 29:504-505 (2013) 110
Predicting venous thromboembolism risk from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges 110
Computer-based prediction of mitochondrial-targeting peptides 110
null 109
BETAWARE: a machine-learning tool to detect and predict transmembrane beta-barrel proteins in prokaryotes. 109
Assessment of predicted enzymatic activity of α-N-acetylglucosaminidase variants of unknown significance for CAGI 2016 107
MemPype: a pipeline for the annotation of eukaryotic membrane proteins 105
Integrating ELIXIR Italy with ELIXIR Interoperability platform activities 105
BUSCA is a web server for predicting subcellular localization of proteins 101
TPpred2: improving the prediction of mitochondrial targeting peptide cleavage sites by exploiting sequence motifs 100
null 97
Mapping OMIM Disease–Related Variations on Protein Domains Reveals an Association Among Variation Type, Pfam Models, and Disease Classes 95
Transmembrane Domain Prediction 94
Prediction of cysteine bonding state with machine-learning methods 94
On the critical review of five machine learning-based algorithms for predicting protein stability changes upon mutation 94
SChloro is a web-server to predict protein sub-chloroplastic localization in plants 93
BCov: a method for predicting  beta-sheet topology using sparse inverse covariance estimation and integer programming 92
TPpred3 detects and discriminates mitochondrial and chloroplastic targeting peptides in eukaryotic proteins 91
Performance of computational methods for the evaluation of pericentriolar material 1 missense variants in CAGI-5 91
BCov is a software package designed for predicting protein beta-sheet topology from amino acid sequence. 90
A glance into mthfr deficiency at a molecular level 90
The prediction of organelle-targeting peptides in eukaryotic proteins with Grammatical-Restrained Hidden Conditional Random Fields. 87
Prediction of disulfide connectivity in proteins with machine-learning methods and correlated mutations. 86
MemPype: a pipeline for the annotation of eukaryotic membrane proteins 86
Huntingtin: A protein with a peculiar solvent accessible surface 86
DeepREx-WS: A web server for characterising protein–solvent interaction starting from sequence 85
Routes of dispersion of antibiotic resistance genes from the poultry farm system 83
TPpred2: improving the prediction of mitochondrial targeting peptide cleavage sites by exploiting sequence motifs 80
null 80
Comparative genomics of tadpole shrimps (Crustacea, Branchiopoda, Notostraca): Dynamic genome evolution against the backdrop of morphological stasis 80
Large-scale prediction and analysis of protein sub-mitochondrial localization with DeepMito 79
A multidisciplinary approach to describe population structure of Solea solea in the Mediterranean Sea 78
INPS is a web server for predicting the impact of non-synonymous variations on protein stability starting from protein sequence- 76
BENZ WS: The Bologna ENZyme Web Server for four-level EC number annotation 76
null 75
On the biases in predictions of protein stability changes upon variations: the INPS test case 75
The prediction of organelle targeting peptides in eukaryotic proteins with Grammatical Restrained Hidden Conditional Random Fields. 74
TPpred3 is a web-server ot detect and discriminate mitochondrial and chloroplastic targeting peptides in eukaryotic proteins 72
Computer-Aided Prediction of Protein Mitochondrial Localization 71
Disulfide connectivity prediction with extreme learning machines 70
ISPRED2: A machine-learning method to predict protein interaction sites 69
ISPRED4 is a web server based on machine-learning for the prediction of protein-protein interaction sites in protein structures 67
Resources and tools for rare disease variant interpretation 66
The prediction of signal peptides in proteins with Grammatical Restrained Hidden Conditional Random Fields 65
Large scale analysis of protein stability in OMIM disease related human protein variants 64
BetAware-Deep: An Accurate Web Server for Discrimination and Topology Prediction of Prokaryotic Transmembrane β-barrel Proteins 63
Prediction of cysteine bonding state with machine-learning methods 62
Improving the detection of transmembrane beta-barrel chains with N-to-1 extreme learning machines 61
Cloning the barley nec3 disease lesion mimic mutant using complementation by sequencing 58
TPpred: a predictior of organelle-targeting peptides in eukaryotic proteins with Grammatical-Restrained Hidden Conditional Random Fields 57
DeepSig is a software package and web server to predict signal peptides in proteins 57
Large-scale annotation of proteins with labelling methods 55
Wood feeding and social living: Draft genome of the subterranean termite Reticulitermes lucifugus (Blattodea; Termitoidae) 54
DisLocate is a web server for predicting cisteine bonding state and disulfide connectivity in proteins. 49
Comparative genomics of Hox and ParaHox genes among major lineages of Branchiopoda with emphasis on tadpole shrimps 48
Dispersion of antimicrobial resistant bacteria in pig farms and in the surrounding environment 48
Pathogenic variation types in human genes relate to diseases through Pfam and InterPro mapping 46
CoCoNat: A Deep Learning–Based Tool for the Prediction of Coiled-coil Domains in Protein Sequences 44
MultifacetedProtDB: a database of human proteins with multiple functions 43
CoCoNat: a novel method based on deep learning for coiled-coil prediction 43
Mapping human disease-associated enzymes into Reactome allows characterization of disease groups and their interactions 41
SVMyr: A Web Server Detecting Co- and Post-translational Myristoylation in Proteins 40
Protein–Protein Interaction Methods and Protein Phase Separation 39
E-SNPs&GO: embedding of protein sequence and function improves the annotation of human pathogenic variants 36
Finding functional motifs in protein sequences with deep learning and natural language models 35
ISPRED4: interaction sites PREDiction in protein structures with a refining grammar model 34
Machine learning solutions for predicting protein–protein interactions 31
Critical assessment of variant prioritization methods for rare disease diagnosis within the rare genomes project 29
INPS-MD: A web server to predict stability of protein variants from sequence and structure 29
Discriminating physiological from non-physiological interfaces in structures of protein complexes: A community-wide study 28
Turning Failures into Applications: The Problem of Protein ΔΔG Prediction 28
Totale 9.828
Salva come PNG Salva come JPEG
Categoria #
all - tutte 28.222
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 28.222
Salva come PNG Salva come JPEG


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/2020870 0 0 0 0 0 0 188 215 226 105 44 92
2020/20211.142 177 56 11 44 39 111 67 64 84 49 48 392
2021/20221.511 126 41 71 66 166 124 40 148 71 39 339 280
2022/20231.822 195 297 85 190 119 147 114 80 265 69 148 113
2023/20241.530 32 83 59 67 70 174 51 79 144 320 270 181
2024/20251.856 205 396 221 242 553 161 78 0 0 0 0 0
Totale 9.965