Ontology highlight
ABSTRACT:
PROVIDER: PRJNA508851 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:In this study we characterize microbial community features on the surface of Indian Ocean. 11 samples were collected from Indian Ocean and subjected for quantitative metaproteomics analysis for taxonomic and functional analysis. Our results suggested that metabolic tuning at metaproteomics levels enabled microbial community to sustain stable when subjected to environmental perturbations in the oligotrophic ocean.
2023-05-10 | PXD016285 | Pride
Project description:The global diversity of Mycobacterium tuberculosis comprises at least seven lineages, each with its distinct geographic distribution. The aim of this experiment was to perform a comparative analysis of two of these lineages: Lineage 1 and Lineage 2. The former is found around the rim of the Indian ocean and in south-east Asia, while the latter is widely spread throughout Asia and shows an increasing global spread. We have chosen three fully drug susceptible clincal isolates to represent each of the two lineages. We performed RNAseq analysis on rRNA depleted samples isolated from cultures during mid-log phase. Each strain was measured in triplicate.
2020-12-31 | E-MTAB-8103 | biostudies-arrayexpress
Project description:Shotgun metagenomic approch to identify the bacterial, archaeaa,virus, fungi and eukaryotes in Northern Indian Ocean
| PRJEB43687 | ENA
Project description:Sequencing of Southwest Indian Ocean data
| PRJNA414015 | ENA
Project description:Cancer is predominantly a somatic disease. A mutant allele found in cancer cell genome is considered somatic when it is absent in paired normal genome and dbSNP, the most comprehensive public SNP database. However, dbSNP inadequately represents several non-Caucasian populations including that from the Indian subcontinent, posing a limitation in cancer genomic analyses of data from these populations. We present TMC-SNPdb, as the first open source freely accessible (through ANNOVAR), flexible and upgradable SNP database from whole exome data of 62 normal samples derived from cancer patients of Indian origin, representing 114,309 unique germline variants. TMC-SNPdb is presented with a companion subtraction tool that can be executed with command line option or an easy-to-use graphical user interface (GUI) with the ability to deplete additional Indian population specific SNPs over and above that possible with dbSNP and 1000 Genomes databases. Using an institutional generated whole exome data set of 132 samples of Indian origin, we demonstrate that TMC-SNPdb reduced 42%, 33% and 28% false positive somatic events post dbSNP depletion in Indian origin tongue, gallbladder, and cervical cancer samples, respectively. Beyond cancer somatic analyses, we anticipate utility of TMC-SNPdb in several Mendelian germline diseases.
2018-06-06 | E-MTAB-4618 | biostudies-arrayexpress
Project description:The study involves whole exome sequencing of 20 primary tumors obtained from lung squamous carcinoma patients of Indian origin. With this, we aim to describe the mutational profile of this specific subset of lung cancer patients. This knowledge will further allow us to gain an insight into potentially actionable genomic alterations prevalent in Indian lung squamous carcinoma.
2022-02-11 | E-MTAB-8801 | biostudies-arrayexpress