M
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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Journal ArticleDOI
Genome-wide midrange transcription profiles reveal expression level relationships in human tissue specification
Itai Yanai,Hila Benjamin,Michael Shmoish,Vered Chalifa-Caspi,Maxim Shklar,Ron Ophir,Arren Bar-Even,Shirley Horn-Saban,Marilyn Safran,Eytan Domany,Doron Lancet,Orit Shmueli +11 more
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.
Journal ArticleDOI
Network analysis of protein structures identifies functional residues.
Gil Amitai,Arye Shemesh,Einat Sitbon,Maxim Shklar,Dvir Netanely,Ilya Venger,Shmuel Pietrokovski +6 more
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.
Journal ArticleDOI
GeneAnnot: comprehensive two-way linking between oligonucleotide array probesets and GeneCards genes
Vered Chalifa-Caspi,Itai Yanai,Ron Ophir,Naomi Rosen,Michael Shmoish,Hila Benjamin-Rodrig,Maxim Shklar,Tsippi Iny Stein,Orit Shmueli,Marilyn Safran,Doron Lancet +10 more
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.
Journal ArticleDOI
GeneTide—Terra Incognita Discovery Endeavor: a new transcriptome focused member of the GeneCards/GeneNote suite of databases
Maxim Shklar,Liora Strichman-Almashanu,Orit Shmueli,Michael Shmoish,Marilyn Safran,Doron Lancet +5 more
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
Maxim Shklar,Orit Shmueli,Liora Strichman-Almashanu,Michael Shmoish,Doron Lancet,Marilyn Safran +5 more
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.