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Determining the C-terminal amino acid of a peptide from MS/MS data 

Allmer, Jens (Proteomass Scientific Society, 2013-12)
Proteomics is currently chiefly based on mass spectrometry (MS) which is the tool of choice to investigate proteins. Two computational approaches to derive the tandem mass spectrum precursor’s sequence are widely employed. ...
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Development of EST-SSR markers for diversity and breeding studies in opium poppy 

Şelale, Hatice; Çelik, İbrahim; Gültekin, Visam; Allmer, Jens; Doğanlar, Sami; Frary, Anne (Wiley-Blackwell, 2013-06)
All publicly available opium poppy expressed sequence tag (EST) sequences, totalling 20 885, were assembled into unigenes and examined for simple sequence repeats (SSRs). Nearly 19% of the 14 957 unigenes contained SSRs ...
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Comparison of four Ab initio MicroRNA prediction tools 

Saçar, Müşerref Duygu; Allmer, Jens (SciTePress, 2013)
MicroRNAs are small RNA sequences of 18-24 nucleotides in length, which serve as templates to drive post transcriptional gene silencing. The canonical microRNA pathway starts with transcription from DNA and is followed by ...
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Ranking tandem mass spectra: And the impact of database size and scoring function on peptide spectrum matches 

Has, Canan; Kundakçı, Cemal Ulaş; Altay, Aybuge; Allmer, Jens (IEEE, 2013)
Proteomics is currently driven by mass spectrometry. For the analysis of tandem mass spectra many computational algorithms have been proposed. There are two approaches, one which assigns a peptide sequence to a tandem mass ...
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Can MiRBase provide positive data for machine learning for the detection of MiRNA hairpins? 

Saçar, Müşerref Duygu; Hamzeiy, Hamid; Allmer, Jens (Informationsmanagement in der Biotechnologie e.V., 2013)
Experimental detection and validation of miRNAs is a tedious, time-consuming, and expensive process. Computational methods for miRNA gene detection are being developed so that the number of candidates that need experimental ...
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Data mining for microrna gene prediction: On the impact of class imbalance and feature number for microrna gene prediction 

Saçar, Müşerref Duygu; Allmer, Jens (IEEE, 2013)
MicroRNAs (miRNAs) are small, non-coding RNAs which are involved in the posttranscriptional modulation of gene expression. Their short (18-24) single stranded mature sequences are involved in targeting specific genes. It ...



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Allmer, Jens (6)
Saçar, Müşerref Duygu (3)Altay, Aybuge (1)Doğanlar, Sami (1)Frary, Anne (1)Gültekin, Visam (1)Hamzeiy, Hamid (1)Has, Canan (1)Kundakçı, Cemal Ulaş (1)Çelik, İbrahim (1)... View MoreSubjectMicroRNAs (2)Ab initio (1)Bioinformatics (1)C-terminal amino acid (1)Class imbalance (1)Comparison (1)Data mining (1)Database search (1)Database size (1)Databases (1)... View MorePublication Typearticle (3)conferenceObject (3)Languageeng (6)Publication CategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı (3)Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı (3)Access Typeinfo:eu-repo/semantics/openAccess (6)Date Issued
2013 (6)
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