The TIGR Gene Indices: reconstruction and representation of expressed gene sequences
By John Quackenbush, F. Liang, I. Holt, Geo Pertea, J. Upton. Nucleic Acids Res., 2000
362 citations recorded by the source corpus.
Subfields: Molecular Biology, Plant Science
View Paper: https://www.semanticscholar.org/paper/d8e12220afcdb003d06893a0e8777d198c8c249e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Weizhong Li
- Wolfram Weckwerth
- Adam Godzik
- Alisdair R. Fernie
- Lukasz Jaroszewski
- Yang Zhang
- David S. Roos
- Joachim Kopka
In Plant Science
- Guillaume Le Blanc
- Wolfram Weckwerth
- Kenneth H. Wolfe
- Alisdair R. Fernie
- Joachim Kopka
- M. Sorrells
- Jonathan A. Eisen
- Adam Godzik
Citations in the corpus
- The TIGR Gene Indices: analysis of gene transcript sequences in highly sampled eukaryotic species (2001, methodology): “However, the TIGR Gene Indices (4) are unique in the number of species surveyed, in the approach used to construct the individual species-specific databases and in the manner in which they can be used.”
- The Sorcerer II Global Ocean Sampling Expedition: Expanding the Universe of Protein Families (2007, methodology): “The largest section contains GOS- (A) The combined set of NCBI-nr, PG, TGI-EST, and ENS has 3,167,979 sequences.”
- OrthoMCL: identification of ortholog groups for eukaryotic genomes. (2003, methodology): “An inflation index of I = 1.5 (where 86% of all groups are EC-consistent) appears to balance sensitivity and selectivity: exhibiting consistency close to the maximum observed value, while excluding a minimum number of sequences Clustering the entire data set at I = 1.5 yields 7265 groups from a…”
- A hitchhiker's guide to expressed sequence tag (EST) analysis (2006, neutral): “referenced to mRNA or genomic sequences [72].”
- GMD@CSB.DB: the Golm Metabolome Database (2005, background): “, 2003) and TIGR (Quackenbush et al., 2000), provide public access to protein sequences based on whole genome analyses, maps of protein–protein interactions, protein localization and many further features.”
- RNA-Seq Atlas of Glycine max: A guide to the soybean transcriptome (2010, background): “Additionally, the genes identified in clade 2-1 with a Goslim molecular function of nutrient reservoir activity are part of the seed-filling process as most of these genes have functions based on the Dana Farber tentative consensus sequence [29,44] that include glycinin, beta-conglycinin and sucrose”
- A recent polyploidy superimposed on older large-scale duplications in the Arabidopsis genome. (2003, methodology): “Because there is significant heterogeneity in the rate of amino acid substitutions among different proteins, this approach is questionable (Sankoff 2001; Wolfe 2001) and may have led to erroneous interpretations about both the number of events and their dates.”
- Data mining for simple sequence repeats in expressed sequence tags from barley, maize, rice, sorghum and wheat (2002, methodology): “…based on sequence similarity that did not intend to derive a consensus from the clusters (NCBI Uni-506 gene set, Schuler et al. , 1996), and (2) a competing methodology from TIGR that derived a high-quality consensus after applying very stringent clustering settings (Quackenbush et al. , 2000).”
- Deep Proteomics of the Xenopus laevis Egg using an mRNA-derived Reference Database (2014, methodology): “laevisGene Indices version 11 [24, 46], and the de novo assemblies from the wild-type and J line RNA-seq data were combined (ensuring unique identifiers), cleaned and trimmed using SeqClean (http://compbio.”
- miRU: an automated plant miRNA target prediction server (2005, background): “Currently, the system includes genome mRNAs or ESTs and other transcriptsassembled Gene Indices (13) for 28 plant species downloaded from The Institute for Genome Research (TIGR) at http:// www.”