BLAST

Basic Local Alignment Search Tool. BLAST finds regions of similarity between biological sequences. The program compares nucleotide or protein sequences to sequence databases and calculates the statistical significance.

Keywords for this software

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References in zbMATH (referenced in 245 articles )

Showing results 1 to 20 of 245.
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  1. Berenice Talamantes-Becerra, Jason Carling, Arthur Georges: omicR: A tool to facilitate BLASTn alignments for sequence data (2021) not zbMATH
  2. Ding, Chenchen; Han, Haitao; Li, Qianyue; Yang, Xiaoxia; Liu, Taigang: iT3SE-PX: identification of bacterial type III secreted effectors using PSSM profiles and XGBoost feature selection (2021)
  3. Zhang, Dan; Chen, Hua-Dong; Zulfiqar, Hasan; Yuan, Shi-Shi; Huang, Qin-Lai; Zhang, Zhao-Yue; Deng, Ke-Jun: iBLP: an XGBoost-based predictor for identifying bioluminescent proteins (2021)
  4. Ahmad, Jamal; Hayat, Maqsood: MFSC: multi-voting based feature selection for classification of Golgi proteins by adopting the general form of Chou’s PseAAC components (2019)
  5. Randić, Milan: Mathematical chemistry illustrations: a personal view of less known results (2019)
  6. Rout, Subhashree; Mahapatra, Rajani Kanta: \textitInsilico analysis of \textitplasmodiumfalciparum CDPK5 protein through molecular modeling, docking and dynamics (2019)
  7. Tao, Jin; Liu, Xiaoqing; Yang, Siqian; Bao, Chaohui; He, Pingan; Dai, Qi: An efficient genomic signature ranking method for genomic island prediction from a single genome (2019)
  8. Wang, Lei; Yan, Xin; Liu, Meng-Lin; Song, Ke-Jian; Sun, Xiao-Fei; Pan, Wen-Wen: Prediction of RNA-protein interactions by combining deep convolutional neural network with feature selection ensemble method (2019)
  9. Kinjo, Akira R.: Cooperative “folding transition” in the sequence space facilitates function-driven evolution of protein families (2018)
  10. Liang, Yunyun; Zhang, Shengli: Identify Gram-negative bacterial secreted protein types by incorporating different modes of PSSM into Chou’s general PseAAC via Kullback-Leibler divergence (2018)
  11. Tian, Kun; Zhao, Xin; Yau, Stephen S.-T.: Convex hull analysis of evolutionary and phylogenetic relationships between biological groups (2018)
  12. Zhang, Shengli; Liang, Yunyun: Predicting apoptosis protein subcellular localization by integrating auto-cross correlation and PSSM into Chou’s PseAAC (2018)
  13. Abboud, Amir; Backurs, Arturs: Towards hardness of approximation for polynomial time problems (2017)
  14. Dehzangi, Abdollah; López, Yosvany; Lal, Sunil Pranit; Taherzadeh, Ghazaleh; Michaelson, Jacob; Sattar, Abdul; Tsunoda, Tatsuhiko; Sharma, Alok: PSSM-Suc: accurately predicting succinylation using position specific scoring matrix into bigram for feature extraction (2017)
  15. Pai, Priyadarshini P.; Dash, Tirtharaj; Mondal, Sukanta: Sequence-based discrimination of protein-RNA interacting residues using a probabilistic approach (2017)
  16. Shatabda, Swakkhar; Saha, Sanjay; Sharma, Alok; Dehzangi, Abdollah: iPHLoc-ES: identification of bacteriophage protein locations using evolutionary and structural features (2017)
  17. Beg, Ismat; Rashid, Tabasam: Intuitionistic fuzzy similarity measure: theory and applications (2016)
  18. Jiao, Ya-Sen; Du, Pu-Feng: Predicting Golgi-resident protein types using pseudo amino acid compositions: approaches with positional specific physicochemical properties (2016)
  19. Jiao, Ya-Sen; Du, Pu-Feng: Prediction of Golgi-resident protein types using general form of Chou’s pseudo-amino acid compositions: approaches with minimal redundancy maximal relevance feature selection (2016)
  20. Liang, Yunyun; Liu, Sanyang; Zhang, Shengli: Detrended cross-correlation coefficient: application to predict apoptosis protein subcellular localization (2016)

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