Changes to the FlyBase gene model annotation set in the era of high-throughput data. Changes to the FlyBase gene model annotation set in the era of high-throughput.

Slides:



Advertisements
Similar presentations
NUCLEIC ACIDS {DNA;RNA} w 1. What are they? w 2. Where are they found? w 3. What are their functions? w 4. What is a nucleotide? Draw one. w (pages 219.
Advertisements

© red ©
Studies of protein trap expression We compared the apparent intensity of GFP-protein staining in the GSCs with the RNA level of the corresponding gene.
Figure 1. Number of CCDS IDs and genes represented in the human (A) and mouse (B) CCDS releases. The X-axis indicates the year in which a CCDS dataset.
LncRNAs exert their effects by diverse mechanisms. LncRNAs exert their effects by diverse mechanisms. (A) lncRNAs can.
Molecular classification of mature aggressive B-cell lymphoma using digital multiplexed gene expression on formalin-fixed paraffin-embedded biopsy specimens.
(A, B) Stereoscopic views of the P3 RNase MRP RNA domain in complex with the RNase MRP/RNase P protein components Pop6 and Pop7. (A, B) Stereoscopic views.
DNA & protein synthesis Chapter 9
Volume 104, Issue 2, Pages (January 2001)
Comparison of the model incorporating daily dose to that incorporating Cmax. Comparison of the model incorporating daily dose to that incorporating Cmax.
Bertram et al. (2005) , NEJM, 352: Bertram et al. (2005) , NEJM, 352:
Overview of the MAT-A loci in single spore isolates from V. volvacea.
WPV1 complete VP1 gene phylogeny including the RC2010 viruses.
Combined LRTI prediction metric integrating pathogen detection and host gene expression. Combined LRTI prediction metric integrating pathogen detection.
Expression profiling of snoRNAs in normal hematopoiesis and AML
Similarity of gene expression level (A) and nucleosome occupancy profile (B) between paralog pairs. Similarity of gene expression level (A) and nucleosome.
Figure 9. Categories of pha-siRNA-yielding genes
Figure 6. Categories of pha-siRNA-yielding genes
Nat. Rev. Gastroenterol. Hepatol. doi: /nrgastro
Network derived from large‐scale fractionation predicts 48 protein complexes and communities Network derived from large‐scale fractionation predicts 48.
Daniel C. Koboldt, David E. Larson, Lori S. Sullivan, Sara J
Q-Q plot of observed P values against theoretical P values for factor analysis (red dots) and single gene–based methods (in blue). Q-Q plot of observed.
Polymorphism results of running KASPar assay IWB47298 (A) and IWB34332 (B) on the RIL population derived from two sources of low Cd; D041735 × Strongfield.
nrde-3-dependent silencing of endogenous RNAi targets and transgenes.
ADV-1 downstream targets identified by ChIP-seq and RNA-seq are enriched for ccgs. ADV-1 downstream targets identified by ChIP-seq and RNA-seq are enriched.
What Color is it?.
Yifang Chen, Devendra S. Mistry, George L. Sen 
Evaluation of re-annotation for non-melanogaster Drosophila species.
Schematic model of effector pathways that mediate tumor suppression by p53. Schematic model of effector pathways that mediate tumor suppression by p53.
Two-dimensional gel electrophoresis of CyDye-labeled human sperm proteomes (DIGE) and identification of diabetes- and obesity-associated sperm proteins.
K-Means clustering of protein and mRNA expression patterns after PPAR agonists treatments. k-Means clustering of protein and mRNA expression patterns after.
Figure 9. Categories of pha-siRNA-yielding genes
Bar plot representation of the transcriptomic changes in Δsaci_ptp and Δsaci_pp2a. Bar plot representation of the transcriptomic changes in Δsaci_ptp and.
Differential expression levels of archaella operon genes and respiratory chain genes in Δsaci_pp2a and Δsaci_ptp. Differential expression levels of archaella.
DNA methylation patterns of four DMR-associated genes.
Network analysis of some transcription factors and chromatin regulators that are directly and positively regulated by OsMADS1. Network analysis of some.
Comparison of proteomics and RNA‐Seq data.
Effect of dinB gene deletion on the frequency of spontaneously arisen TetR mutants in alkA tag mutS background. Effect of dinB gene deletion on the frequency.
Effect of dinB gene deletion on the frequency of spontaneously arisen TetR mutants in different genetic backgrounds. Effect of dinB gene deletion on the.
RND efflux operons in P. aeruginosa.
Transcriptome analyses of four regions of the mouse brain.
The two nonoverlapping protein isoforms of klar.
Gene ontology (GO) term enrichment for significantly downregulated genes. Gene ontology (GO) term enrichment for significantly downregulated genes. Visualization.
- FunCat terms associated with DEGs found in vs.
T7 transcripts increase relative to E. coli transcripts over time.
Peptide abundances are uniformly distributed across the capsid protein in the recoded T7 strain. Peptide abundances are uniformly distributed across the.
Differential protein, mRNA, lncRNA and miRNA regulation by p53.
Sequence conservation across the Ub-binding sites of human USPs
MAGs and testes transcript expression levels in the An. gambiae complex. MAGs and testes transcript expression levels in the An. gambiae complex. (A) Percentage.
RNA abundance correlates with fitness.
Mean C-to-U editing ratios for most editing sites map to a region on chromosome 6 at 122 Mb. (A) Genome scan of mean C-to-U editing for 70 editing sites.
Sampling locations and IDs for accessions sequenced in this study.
Distribution of deletions and insertions in the ade6-(GACC)7ΔT repeat.
Frequency distributions of flowering-time means for 145 accessions grown in long days. Frequency distributions of flowering-time means for 145 accessions.
Schematic design of the SSM
Protease digestion of seven purified MBP-CBS protein alleles.
Gene P-values (−log10) of significant genes at the 1% nominal level in Europe (red bars), in Asia (blue bars,) or both continents (black bars) from the.
Identification of acetylated peptides and proteins by LC-MS/MS.
The genomic landscape of a HeLa cell line.
TBSS results. TBSS results. A, TBSS-derived t-map of decreased fractional anisotropy in the anoxic brain injury group relative to the neurotypical control.
Figure 1. Microbe Directory heatmap.
Hierarchical clustering of non-classical monocytes from patients and controls, with tracks indicating individuals, IFN score, SLEDAI score and prednisone.
Schematic of proteins identified by RNA affinity purification-coupled LC-MS/MS and the hnRNPH-associated protein network recruited by the G-containing.
Differentially expressed annotated protein-coding and non-coding RNAs in SSA/Ps and traditional HPs identified by RNA-Seq. Differentially expressed annotated.
Volume 11, Issue 7, Pages (May 2015)
Phylogeny and expression landscape of Wolbachia in D. melanogaster.
Typical images of a patient without brain metastases derived via automatic segmentation software. Typical images of a patient without brain metastases.
Rapid nucleotide exchange allows irreversible interactions between GDP-bound KRASG12C (middle) and ARS-853 (right). Rapid nucleotide exchange allows irreversible.
Fig. 4 The three DBT cycles involved in building syn3.0.
Comparison of the van gene clusters.
Presentation transcript:

Changes to the FlyBase gene model annotation set in the era of high-throughput data. Changes to the FlyBase gene model annotation set in the era of high-throughput data. The gene model annotation set of FlyBase version FB2010_01 (R5.24), the last version to predate FlyBase incorporation of high-throughput data, was compared to that of FlyBase version FB2014_06 (R6.03) to determine the degree of change over the course of 26 annotation updates. Gene model annotations common to both sets (white) were identified. Gene model annotations specific to R6.03 were then examined to identify those derived from R5.24-specific gene model annotations through gene merge/split or reclassification (yellow). The remaining R5.24-specific annotations were classified as “withdrawn” (red), and the R6.03-specific annotations were classified as “new” (blue). The number of gene models within each category of status change is shown for protein-coding genes (A). For 13,003 of the 13,112 protein-coding genes common to both R5.24 and R6.03 (excluding nine complex cases), we also examined the degree to which the number of associated transcripts changed: a measure of gene model complexity. For these genes, the numbers of associated transcripts that persisted (white), were deleted (red), or were added (blue) at some point between R5.24 and R6.03 are shown (B). Changes to the set of annotated pseudogenes (C) and non-coding RNA genes (D) are also shown. Beverley B. Matthews et al. G3 2015;5:1721-1736 ©2015 by Genetics Society of America