BMC_series: RT @sgivan: SERE:... BMC_series : RT @EvaAlloza: Intronic RNAs... BMC_series: RT @leclercfl:... LiveLeak.com - Redefining the Media. SciReports : Feeder-Free Derivation of Human... UKPubMedCentral: BBSRC: Defining the molecular... UKPubMedCentral: MRC: Defining the molecular... GigaScience: Another AML talk now (popular... GigaScience: RD to summarise: best combination...
SciReports : Widespread binding of FUS along... PLOSPathogens : RT @labratting: New post out... BioMedCentral: RT @sgivan: Optimizing de novo... BioMedCentral: sRNAdb: A small non-coding... BMC_series: RT @rnomics: Analysis of... BMC_series : RT @rnomics: RT @ppgardne:... Full text | Dinucleotide controlled null models for comparative RNA Gene Prediction. Requirements for an accurate null model An optimal null model preserves all the features of the original data with the exception of the signal under question that needs to be removed efficiently. In our case, the data are multiple alignments of homologous sequences and the signal of interest is an evolved RNA secondary structure. Correlations arising from base-pairing patterns need to be removed.
Currently, alignments are usually randomized by shuffling the alignment columns (see ref. 5 for a discussion of this method). In this paper we attempt to simulate new alignments from scratch. Not surprisingly, base composition is one of the parameters affecting the predicted folding energies strongest (Fig. 1A). Figure 1. Another major parameter that needs to be controlled is the sequence diversity of the alignment. One well known characteristic of natural mutation processes are the different rates for transitions and transversions [27].
Algorithm Model Figure 2. . |3 = 64 × 64. 3. Simulation. SciReports: Position-dependent FUS-RNA... BMC_series : RT @rnomics: Chips and tag... SciReports: Ultraviolet Shadowing of R... PLoSPathogens : Control of Virulence by Sm... BMC_series : RT @rnomics: RT @bffo: Fro... OxfordJournals : RT @dullhunk: Lovely visua... SciReports: Single-Molecule Electrical... BMC_series : Elaine Ostrander comments... PLoSPathogens : How Do Viruses Interact wi... SciReports : Involvement of RDR6 in sho... BioMedCentral: #Molecular dynamics simula... BMC_series : #Molecular dynamics simula... BioMedCentral: RT @BMC_series: New resear... BMC_series : New research on #RNA polym... Sharmanedit: RT @Alexbateman1: So that'... New research provides insight into placental growth and healthy pregnancy. 11 June 2012 Researchers at the Babraham Institute have identified a molecule that regulates the growth of the placenta during pregnancy.
The findings, published this week in ‘Nature Cell Biology’, have important implications for understanding a healthy pregnancy. The molecule - miR-675 - is a type of short nucleic acid called microRNA. RNA molecules have long been known to provide an intermediary in the process of translating genes from the cell's DNA into proteins that are necessary for the cell's function. The noncoding RNA H19 is one of the most abundant RNA molecules found in mammals, but until now its function was unknown.
Dr Andrew Keniry from the Babraham Institute, the lead author of the study, explained, "The function of the H19 noncoding RNA has proven elusive for many years. "This is a very exciting finding and reveals a new purpose for noncoding RNA. Image: A photomicrograph of a placenta (middle trimester). Keniry A et al. BioMedCentral: RT @silencejournal: Silenc... BioMedCentral : Novel screen for transcrip... PLoSBiology : Jane Alfred is @ CSHL symp... PLoSPathogens : Exploring the interactions... BioMedCentral: RT @silencejournal: Reduci... PLoSPathogens : Functional analyses of two...
Spongelab: Transcription Hero is an e... UK PubMed Central: MRC: Piwi and piRNAs Act U... UK PubMed Central: Wellcome Trust: The proteo... UK PubMed Central: MRC: The proteomes of tran... Society_Biology: Synthetic Nucleic Acids: B... BioMedCentral: RT @silencejournal: Metage...