Evidence map›Paper›PMID 15240912›Full record

ReviewJournal of genetics2004

Structural and functional analysis of rice genome.

Akhilesh K Tyagi, Jitendra P Khurana, Paramjit Khurana, Saurabh Raghuvanshi, Anumapa Gaur, Anita Kapur, Vikrant Gupta, Dibyendu Kumar, V Ravi, Shubha Vij and 2 more

Abstract readComparative StudyReview
PubMed Publisher
In one paragraph

Review in Journal of genetics, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Akhilesh K TyagiDepartment of Plant Molecular Biology, University of Delhi South Campus, Benito Juarez Road, New Delhi 110 021, India. akhilesh@genomeindia.org
Jitendra P Khurana
Paramjit Khurana
Saurabh Raghuvanshi
Anumapa Gaur
Anita Kapur
Vikrant Gupta
Dibyendu Kumar
V Ravi
Shubha Vij
Parul Khurana
Sulabha Sharma

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice is an excellent system for plant genomics as it represents a modest size genome of 430 Mb. It feeds more than half the population of the world. Draft sequences of the rice genome, derived by whole-genome shotgun approach at relatively low coverage (4-6 X), were published and the International Rice Genome Sequencing Project (IRGSP) declared high quality (>10 X), genetically anchored, phase 2 level sequence in 2002. In addition, phase 3 level finished sequence of chromosomes 1, 4 and 10 (out of 12 chromosomes of rice) has already been reported by scientists from IRGSP consortium. Various estimates of genes in rice place the number at >50,000. Already, over 28,000 full-length cDNAs have been sequenced, most of which map to genetically anchored genome sequence. Such information is very useful in revealing novel features of macro- and micro-level synteny of rice genome with other cereals. Microarray analysis is unraveling the identity of rice genes expressing in temporal and spatial manner and should help target candidate genes useful for improving traits of agronomic importance. Simultaneously, functional analysis of rice genome has been initiated by marker-based characterization of useful genes and employing functional knock-outs created by mutation or gene tagging. Integration of this enormous information is expected to catalyze tremendous activity on basic and applied aspects of rice genomics.

Indexed as

Genome, PlantChromosomes, PlantComputational BiologyDNA, PlantGene DeletionGenes, PlantGenomicsMutagenesis, InsertionalOryzaPhysical Chromosome MappingDNA, Plant

Identifiers

PMID15240912

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.