Gerris buenoi Official Gene set v1.0

The Gerris buenoi genome was recently sequenced and annotated as part of the i5k pilot project by the Baylor College of Medicine. The Gerris buenoi research community has manually reviewed and curated the computational gene predictions and generated an official gene set, OGSv1.0. The OGS is an integration of automatic gene predictions from Maker (performed by Dan Hughes at Baylor College of Medicine) with manual annotations by the research community (done via the Apollo manual annotation software).

insects 5000 program

Hyalella azteca Genome Annotations v0.5.3

The Baylor College of Medicine recently sequenced and annotated the Hyalella azteca genome as part of the i5k pilot project. This dataset presents the Hyalella azteca gene set BCM_v_0.5.3, which was generated computationally. RNA-Seq data was used with additional protein homology data for a MAKER automated annotation of the Hyalella azteca genome assembly 1.0. Further annotation method details will be available in a forthcoming publication.

NOTE: This gene set is an unstable pre-release (v0.5.3), and was provided to facilitate manual curation and analyses before the official gene set is released. Gene identifiers from this gene set will likely not be maintained.

insects 5000 program

Hyalella azteca Genome Assembly 1.0

The Baylor College of Medicine recently sequenced and annotated the Hyalella azteca genome as part of the i5k pilot project. The Hyalella azteca research community has manually reviewed and curated the computational gene predictions and generated an official gene set, OGSv1.0. This dataset presents the Hyalella azteca genome v1.0. This assembly version is the pre-release version, prior to filtering and quality control by the National Center for Biotechnology Information's GenBank resource. The corresponding genome assembly in NCBI is GCA_000764305.1.

insects 5000 program

Hyalella azteca Official Gene Set v1.0

The Hyalella azteca genome was recently sequenced and annotated as part of the i5k pilot project by the Baylor College of Medicine. The Hyalella azteca research community has manually reviewed and curated the computational gene predictions and generated an official gene set, OGSv1.0. The OGS is an integration of automatic gene predictions from Maker with manual annotations by the research community (via the Apollo manual annotation software).

insects 5000 program

Data from: Transcriptomes of bovine ovarian follicular and luteal cells

Gene 1.0 ST Array RNA expression analysis was performed on four somatic ovarian cell types: the granulosa cells (GCs) and theca cells (TCs) of the dominant follicle and the large luteal cells (LLCs) and small luteal cells (SLCs) of the corpus luteum. The normalized linear microarray data was deposited to the NCBI GEO repository (GSE83524). Subsequent ANOVA determined genes that were enriched (≥2 fold more) or decreased (≤−2 fold less) in one cell type compared to all three other cell types, and these analyzed and filtered datasets are presented as tables. Genes that were shared in enriched expression in both follicular cell types (GCs and TCs) or in both luteal cells types (LLCs and SLCs) are also reported.

Genomics and Genetics

Data from: Metagenomic and near full-length 16S rRNA sequence data in support of the phylogenetic analysis of the rumen bacterial community in steers

Amplicon sequencing utilizing next-generation platforms has significantly transformed how research is conducted, specifically microbial ecology. However, primer and sequencing platform biases can confound or change the way scientists interpret these data. The Pacific Biosciences RSII instrument may also preferentially load smaller fragments, which may also…

Genomics and Genetics