about
ASPicDB: a database of annotated transcript and protein variants generated by alternative splicingUTRdb and UTRsite (RELEASE 2010): a collection of sequences and regulatory motifs of the untranslated regions of eukaryotic mRNAsREDIportal: a comprehensive database of A-to-I RNA editing events in humansProfiling RNA editing in human tissues: towards the inosinome AtlasWEP: a high-performance analysis pipeline for whole-exome data.Tissue-specific mtDNA abundance from exome data and its correlation with mitochondrial transcription, mass and respiratory activity.Exploring the RNA editing potential of RNA-Seq data by ExpEdit.EasyCluster: a fast and efficient gene-oriented clustering tool for large-scale transcriptome data.Single-cell transcriptomics reveals specific RNA editing signatures in the human brainExpEdit: a webserver to explore human RNA editing in RNA-Seq experiments.PIntron: a fast method for detecting the gene structure due to alternative splicing via maximal pairings of a pattern and a textMToolBox: a highly automated pipeline for heteroplasmy annotation and prioritization analysis of human mitochondrial variants in high-throughput sequencingA novel computational strategy to identify A-to-I RNA editing sites by RNA-Seq data: de novo detection in human spinal cord tissueLactobacillus rossiae, a vitamin B12 producer, represents a metabolically versatile species within the Genus LactobacillusEpstein-Barr virus genetic variants are associated with multiple sclerosis.Differences in gene expression and cytokine release profiles highlight the heterogeneity of distinct subsets of adipose tissue-derived stem cells in the subcutaneous and visceral adipose tissue in humansEasyCluster2: an improved tool for clustering and assembling long transcriptome reads.REDItools: high-throughput RNA editing detection made easy.Genome-wide analysis of differentially expressed genes and splicing isoforms in clear cell renal cell carcinoma.A platform independent RNA-Seq protocol for the detection of transcriptome complexity.Rhodobacter sphaeroides adaptation to high concentrations of cobalt ions requires energetic metabolism changes.Using REDItools to Detect RNA Editing Events in NGS Datasets.RAP: RNA-Seq Analysis Pipeline, a new cloud-based NGS web application.Reduced levels of protein recoding by A-to-I RNA editing in Alzheimer's diseaseTranscriptional Analysis of Acinetobacter sp. neg1 Capable of Degrading Ochratoxin A.Bioinformatics approaches for genomics and post genomics applications of next-generation sequencing.Computational methods for ab initio and comparative gene finding.BCR/ABL1 fusion transcripts generated from alternative splicing: implications for future targeted therapies in Ph+ leukaemias.RNA editing signature during myeloid leukemia cell differentiation.Geographic Population Structure in Epstein-Barr Virus Revealed by Comparative GenomicsTranscriptomic analysis of nickel exposure in Sphingobium sp. ba1 cells using RNA-seqMassive transcriptome sequencing of human spinal cord tissues provides new insights into motor neuron degeneration in ALSDetection of post-transcriptional RNA editing events.Uncovering RNA Editing Sites in Long Non-Coding RNAs.SpliceAid-F: a database of human splicing factors and their RNA-binding sites.Large-scale detection and analysis of RNA editing in grape mtDNA by RNA deep-sequencing.Corrigendum: Profiling RNA editing in human tissues: towards the inosinome Atlas.ASPic-GeneID: a lightweight pipeline for gene prediction and alternative isoforms detection.REDIdb: the RNA editing database.Detecting alternative gene structures from spliced ESTs: a computational approach.
P50
Q24614591-76988EBA-7B2B-4ADF-84EC-81C2595ED1BEQ24642791-57627F93-138D-44DE-BA63-AC5DEF274ABDQ28584443-F1CB8BCF-0DA0-4195-9D93-CD10F0E51FF0Q28606601-65BEC74B-6416-4394-B748-7BA734A5A529Q30652513-8F2252B1-A8F1-4DF0-B5AA-991197E08856Q30872900-7C9BDB08-9502-429B-996E-281143A93819Q30883956-A329F6BE-CBD3-4CAD-8FCC-BCA6710AA909Q33469832-AFB9077C-A8FE-41F4-8969-8CE7AE0BC5F1Q33701259-9D9F8C30-6B8A-4259-BED4-476021679834Q33852828-24CA0707-2E99-4B66-B3CD-022861FEA8ABQ34248109-A8AE5EC7-211F-4ECF-8DA9-02B0189002ADQ34360161-253644C9-24E2-4948-B6C5-071759BD2061Q34408031-E59FA02E-42F6-4F32-9405-4243F1DF17ABQ34440834-41211859-ED27-4ED3-9920-61278E3456FDQ34465744-3DB8B33E-D573-41AD-BB9F-5A2F7465489AQ34634032-3642AA6C-DACB-47F0-ABBC-30261DE0E668Q34741226-7B1D65DE-004E-4D1C-B7BB-B9E133F41B54Q34762149-73D260C1-F876-43EB-A1E9-3A862B28A527Q35032590-E5F47796-A7E4-43C9-B5A0-9153A80E35E8Q35059540-8BADA52A-371B-49E6-A052-52E7F0B361C9Q35104534-BFCCA8E9-DA08-4DBE-AE49-7C51C98002A3Q35574261-C076CF8E-9117-4849-98CD-D1B6243730BDQ35653764-F9877831-064E-40EE-BCBC-B30B6AA51F36Q36461925-46C34243-B603-4638-8E98-079D6F30E873Q37570302-AD1CA110-EDE3-4E2F-A2F0-AB5C12D54B1CQ37623244-67ACB294-A8C2-4A98-AC0B-351ECEC7E065Q37707231-DE21B9B7-2BC4-4B13-92ED-44D63E425809Q37980866-32EBCCCD-A8DD-4D9A-86BF-B57CE5DD1DC2Q38796877-0BC8DFDD-DA83-4704-A7F8-E3775F99330CQ40446900-4ABC2D13-C496-4A0A-B2CD-954839BA7025Q41423106-1B7C36B8-5DF3-40F7-A14F-C3BAD089AB39Q41565565-E8AEE909-CF8D-47C9-9DEA-9D9878AC7B0FQ41596760-3893763E-13EE-4051-843D-074B29B6BD40Q41652013-64E62ED3-CF24-461F-815C-B8B5D3048AA9Q42106564-D4E0C0D5-004F-4C40-A0DF-3FDA131A3C3CQ42545258-7F159148-0CE8-4018-A31A-6D57C9B3DFBCQ42557953-AFE4BBB8-D30B-4487-8B0B-5C4862545267Q42870887-C94BA190-0C10-4701-8EF7-CAD282DC31FCQ42984768-E95C1E65-050C-43BA-B1C2-2CE209DAF350Q43766582-D557A804-463F-4A7C-9E60-CFB4500CC858
P50
description
hulumtues
@sq
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Ernesto Picardi
@ast
Ernesto Picardi
@en
Ernesto Picardi
@es
Ernesto Picardi
@nl
Ernesto Picardi
@sl
type
label
Ernesto Picardi
@ast
Ernesto Picardi
@en
Ernesto Picardi
@es
Ernesto Picardi
@nl
Ernesto Picardi
@sl
altLabel
E Picardi
@en
prefLabel
Ernesto Picardi
@ast
Ernesto Picardi
@en
Ernesto Picardi
@es
Ernesto Picardi
@nl
Ernesto Picardi
@sl
P1053
A-5863-2015
P106
P1153
8404512400
P21
P2456
P2798
P31
P3829
P496
0000-0002-6549-0114