Annotation release 1.0 was derived by comparing and merging
gene sets generated independently by VectorBase and TIGR.
Not exact matches
To
generate a rich source of potential vaccine and drug target candidates, the team identified a
set of
genes that are more active in certain stages of the parasite life cycle and within the parasite's gut.
The shared patterns of
gene expression in the limbs and phallus are
generated in part by a common
set of noncoding DNA, also called «elements» or «enhancers,» which act to control
gene expression in both of these structures, argues a study published October 1 in Developmental Cell.
Finally, the authors addressed two major challenges for any study that
generates large data -
sets of individual
genes and proteins in model organisms like yeast: How to assemble the data into coherent maps?
The
genes set off production of a protein, neurogenin - 3 (Ngn3); thus,
generating new, healthy insulin - producing beta cells.
The first step in their process was to transfer the
genes of the artemisinic acid pathway's core
set of enzymes into the chloroplast genome of tobacco plants,
generating what are known as transplastomic plants.
The team then used their best transplastomic tobacco plant line to introduce an additional
set of
genes into its nuclear genome,
generating the COSTREL lines.
With
gene activity - modulating parts integrating into the genome with such high efficiency, the researchers were able to randomly
generate many different strains of yeast, each with its own unique
set of modifications.
GOMiner — To provide additional statistical stringency to the identification of potential targets, we then analyzed the data
sets generated by the SAM - RS analysis of the microarray data for hypoxia - associated coregulation of multiple, functionally related
genes.
Antibodies are
generated through recombination of a fixed
set of germline immunoglobulin segments, called V
genes, with other germline immunoglobulin segments.
A team led by Pablo Tamayo and Jill Mesirov of the Broad Institute and University of California, San Diego, and Broad bioinformatician Arthur Liberzon, has
generated «hallmark»
gene sets from the Molecular Signatures Database (MSigDB), one of the most comprehensive and widely used databases for
gene set enrichment analysis.
A physicist turned computational scientist, Graber comes to the MDI Biological Laboratory from The Jackson Laboratory, also located in Bar Harbor, where he focused on computational approaches to understanding post-transcriptional
gene regulation and interactions, while also working intensively to process, analyze and interpret the genome - scale data
sets generated within the Patient Derived Xenograft (PDX) cancer study program.
One of the ten emerging technologies selected was the Human Cell Atlas, which aims to integrate research exploring all the «omes»: the genome (the full
set of
genes), the transcriptome (the RNA made from all
genes), the proteome (the proteins), the metabolome (small molecules, such as sugars, fatty acids and amino acids, involved or
generated by cellular processes), and the fluxome (metabolic reactions whose rates can vary under different conditions).
A Golden Gate TALEN kit (Addgene) was used to
generate two
sets of RVD plasmids corresponding to the sequences found in the first coding exon of the CCHa2 - R
gene (1L, 1R, 2L, and 2R; S2 Fig).
Here, we extracted protein sequences (either whole proteins or single domains) from the manually curated Dipteran immune
gene sets available on ImmunoDB (http://cegg.unige.ch/Insecta/immunodb), aligned them with FSA [75]-RRB-(options: — fast), and
generated profile HMMs with HMMER 3.0 (http://hmmer.janelia.org/).
The same topology is supported by the nuclear
gene data
sets generated by alternative methods as well as by other inference methods (Supplementary Note 7).