scispace - formally typeset
J

Jens Allmer

Researcher at İzmir Institute of Technology

Publications -  79
Citations -  3872

Jens Allmer is an academic researcher from İzmir Institute of Technology. The author has contributed to research in topics: MiRBase & Regulation of gene expression. The author has an hindex of 19, co-authored 75 publications receiving 3465 citations. Previous affiliations of Jens Allmer include İzmir University of Economics & University of Pennsylvania.

Papers
More filters
Journal ArticleDOI

The Chlamydomonas Genome Reveals the Evolution of Key Animal and Plant Functions

Sabeeha S. Merchant, +118 more
- 12 Oct 2007 - 
TL;DR: Analyses of the Chlamydomonas genome advance the understanding of the ancestral eukaryotic cell, reveal previously unknown genes associated with photosynthetic and flagellar functions, and establish links between ciliopathy and the composition and function of flagella.
Journal ArticleDOI

Comparative quantitative proteomics to investigate the remodeling of bioenergetic pathways under iron deficiency in Chlamydomonas reinhardtii

TL;DR: Iron‐deprivation induces a transition from photoheterotrophic to primarily heterotrophic metabolism, indicating that a hierarchy for iron allocations within organelles of a single cell exists that is closely linked with the metabolic state of the cell.
Journal ArticleDOI

Algorithms for the de novo sequencing of peptides from tandem mass spectra

TL;DR: De novo sequencing can be used to directly assign a peptide sequence to a tandem mass spectrometry spectrum and many algorithms have been proposed and a selection of them are detailed in this article.
Journal ArticleDOI

On the performance of pre-microRNA detection algorithms.

TL;DR: An extensible framework is presented, izMiR, which allows for the unbiased comparison of existing algorithms, adding new ones, and combining multiple approaches into ensemble methods and demonstrates that combining all of the methods into one ensemble approach, for the first time, allows reliable purely computational pre-miRNA detection in large eukaryotic genomes.
Journal ArticleDOI

Mass spectrometric genomic data mining: Novel insights into bioenergetic pathways in Chlamydomonas reinhardtii.

TL;DR: A new high‐throughput computational strategy was established that improves genomic data mining from MS experiments, resulting in the identification of novel proteins, improved annotation of gene models, and evidence of alternative splicing.