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Maxim Shklar

Researcher at Weizmann Institute of Science

Publications -  6
Citations -  1494

Maxim Shklar is an academic researcher from Weizmann Institute of Science. The author has contributed to research in topics: GeneCards & Expressed sequence tag. The author has an hindex of 4, co-authored 6 publications receiving 1275 citations.

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Genome-wide midrange transcription profiles reveal expression level relationships in human tissue specification

TL;DR: The analyses provide a novel route to infer expression profiles for presumed ancestral nodes in the tissue dendrogram, whereby de novo enhancement and diminution of gene expression go hand in hand, and highlight the importance of gene suppression events.
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Network analysis of protein structures identifies functional residues.

TL;DR: This work transformed protein structures into residue interaction graphs (RIGs), where amino acid residues are graph nodes and their interactions with each other are the graph edges, and found that active site, ligand-binding and evolutionary conserved residues, typically have high closeness values.
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GeneAnnot: comprehensive two-way linking between oligonucleotide array probesets and GeneCards genes

TL;DR: The GeneAnnot system comprehensively documents the many-to-many relationship between oligonucleotide array probesets and annotated genes in GeneCards and performs pairwise alignments between the probe sequences and gene transcripts, and assigns sensitivity and specificity scores to each probeset/gene pair.
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GeneTide—Terra Incognita Discovery Endeavor: a new transcriptome focused member of the GeneCards/GeneNote suite of databases

TL;DR: GeneTide, the Gene Terra Incognita Discovery Endeavor, is a transcriptome-focused database which aims to enhance GeneCards with additional expressed sequence tag (EST)-based genes by comprehensively mapping >85% of the ∼5.6 million human ESTs currently available at dbEST to known genes by means of data mining and integration of genomic resources including UniGene, DoTS, AceView and in-house resources.
Proceedings ArticleDOI

GeneTide - Terra Incognita Discovery Endeavor mining ESTs and expression data to elucidate known and de-novo GeneCards/spl reg/ genes

TL;DR: An immediate application of GeneTide to microarray annotation has increased, in a specific example, the number of annotated Affymetrix HGU95A-E probe sets by 50% in comparison to previous attempts.