K
Kemal Sanli
Researcher at University of Gothenburg
Publications - 9
Citations - 3320
Kemal Sanli is an academic researcher from University of Gothenburg. The author has contributed to research in topics: Metagenomics & Transcriptome. The author has an hindex of 6, co-authored 8 publications receiving 2334 citations. Previous affiliations of Kemal Sanli include TÜBİTAK Marmara Research Center & Chalmers University of Technology.
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Journal ArticleDOI
A pathology atlas of the human cancer transcriptome
Mathias Uhlén,Mathias Uhlén,Cheng Zhang,Sunjae Lee,Evelina Sjöstedt,Evelina Sjöstedt,Linn Fagerberg,Gholamreza Bidkhori,Rui Benfeitas,Muhammad Arif,Zhengtao Liu,Fredrik Edfors,Kemal Sanli,Kalle von Feilitzen,Per Oksvold,Emma Lundberg,Sophia Hober,Peter Nilsson,Johanna Sofia Margareta Mattsson,Jochen M. Schwenk,Hans Brunnström,Bengt Glimelius,Tobias Sjöblom,Per-Henrik Edqvist,Dijana Djureinovic,Patrick Micke,Cecilia Lindskog,Adil Mardinoglu,Adil Mardinoglu,Fredrik Pontén +29 more
TL;DR: A Human Pathology Atlas has been created as part of the Human Protein Atlas program to explore the prognostic role of each protein-coding gene in 17 different cancers, and reveals that gene expression of individual tumors within a particular cancer varied considerably and could exceed the variation observed between distinct cancer types.
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Improved software detection and extraction of ITS1 and ITS2 from ribosomal ITS sequences of fungi and other eukaryotes for analysis of environmental sequencing data
Johan Bengtsson-Palme,Martin Ryberg,Martin Hartmann,Sara Branco,Zheng Wang,Anna Godhe,Pierre De Wit,Marisol Sánchez-García,Ingo Ebersberger,Filipe de Sousa,Anthony S. Amend,Ari Jumpponen,Martin Unterseher,Erik Kristiansson,Kessy Abarenkov,Yann J. K. Bertrand,Kemal Sanli,K. Martin Eriksson,Unni Vik,Vilmar Veldre,R. Henrik Nilsson +20 more
TL;DR: ITSx is introduced, a Perl‐based software tool to extract ITS1, 5.8S and ITS2 – as well as full‐length ITS sequences – from both Sanger and high‐throughput sequencing data sets, and is rich in features and written to be easily incorporated into automated sequence analysis pipelines.
Journal ArticleDOI
Metagenomic sequencing of marine periphyton: taxonomic and functional insights into biofilm communities
Kemal Sanli,Johan Bengtsson-Palme,R. Henrik Nilsson,Erik Kristiansson,Magnus Alm Rosenblad,Hans Blanck,Karl Martin Eriksson +6 more
TL;DR: Heterotrophic bacteria, including the majority of proteobacterial clades and Bacteroidetes, and eukaryotic macro-invertebrates were found to dominate periphyton and genes encoding enzymes that participate in anaerobic pathways, such as denitrification and methanogenesis, were detected suggesting the presence of low-oxygen micro-zones within the biofilms.
Journal ArticleDOI
FANTOM: Functional and taxonomic analysis of metagenomes
TL;DR: Fantom is a tool that allows for exploratory and comparative analysis of metagenomics abundance data integrated with metadata information and biological databases, and it can make use of any hierarchical database.
Journal ArticleDOI
Strategies to improve usability and preserve accuracy in biological sequence databases
Johan Bengtsson-Palme,Fredrik Boulund,Fredrik Boulund,Fredrik Boulund,Robert Edström,Amir Feizi,Anna Johnning,Anna Johnning,Viktor Jonsson,Fredrik Karlsson,Chandan Pal,Mariana Buongermino Pereira,Mariana Buongermino Pereira,Anna Rehammar,Jose Miguel Sanchez,Jose Miguel Sanchez,Kemal Sanli,Kaisa Thorell +17 more
TL;DR: Five strategies to address fundamental issues in the annotation of sequence databases are proposed, to clearly separate experimentally verified and unverified sequence entries and to enable a system for tracing the origins of annotations.